Home

Systemic seismic vulnerability assessment software user`s manual

Contents

1. EXE R 2storeys Fund 22464 Borzi EtA12008b MAStone LowQuality dg Catalog 23 EL geo found 22464 Lang 2002 URM LR 43 3 J x Y selected for Int Nr 33 points 22464 gt Borzi EtA12008b MABrick HighPercentageVoids 2storeys Local Cache found 14560 Kircil AndPolat2006 RC 3storeys PGA Buildings found 14560 Kircil AndPolat2006 RC 3storeys Sa e Building Inventory v4 found 14560 Kircil AndPolat2006 RC 3storeys Sd E selected for Int Nr 34 points 14560 gt Kircil AndPolat2006 RC Buildings Vienna 3storeys PGA Display Only found 22050 Erberik 2008 RC LRBR 0 MAEviz Demo Data local ound 22050 Erberik 2008 RC LRINF selected for Int Nr 35 points 22050 gt Erberik 2008 RC LRBR Fig 3 41 Create mapping Ingest the fragilities Right click on Local Cache bottom left area Select Ingest Dataset F e Eda Anas Datnet Scenario Reports Fee Window Heip Malye Scenanos Vienna 20 LI t SBA Qa 4 wpnld4 j Beis e Viernes Region of Interest Wher Wien Ms Q Mappatie Data gt Scenano Data w Saved Anatyys Workflow S d S ga N prt 1 J t P x f gt Pi A f S N L j e s gt J f 4 I pj L 4 M 2 Dy Catalog i 1 P i lt Y A ioci Car D Matec DCownioad or Publi aa Co
2. European Commission JRC SCIENTIFIC AND POLICY REPORTS Systemic seismic vulnerability assessment software user s manual SYNER G Reference Report 7 Editors David Schafer and Anna Bosi Reviewer Ahmet Yakut Publishing Editors Fabio Taucer and Ufuk Hancilar 2013 Report EUR 25883 EN European Commission Joint Research Centre Institute for the Protection and Security of the Citizen Contact information Fabio Taucer Address Joint Research Centre Via Enrico Fermi 2749 TP 480 21027 Ispra VA Italy E mail fabio taucer jrc ec europa eu Tel 39 0332 78 5886 Fax 39 0332 78 9049 http elsa jrc ec europa eu http www jrc ec europa eu This publication is a Reference Report by the Joint Research Centre of the European Commission Legal Notice Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication Europe Direct is a service to help you find answers to your questions about the European Union Freephone number 00 80067891011 Certain mobile telephone operators do not allow access to 00 800 numbers or these calls may be billed A great deal of additional information on the European Union is available on the Internet It can be accessed through the Europa server http europa eu JRC82584 EUR 26014 EN ISBN 978 92 79 30839 0 ISSN 1831 9424 doi 10 2788 16217 Luxembourg Publicatio
3. c L JA 2 rs Pri Pm lt P E 2 D atao JM TS lt j a j e E NJ ioci Car A mac Downioad or Publi aa Convert Repar Regoutory Migrate Repoitory E bport OPH WGS Map Width 18 4868 m es 97 610 0688 feet M anges Dataset Properties 96 Duable fU Reconnect Fig 3 50 Ingest Dataset Select Mapping from the menu am Select file type Please select the type of file to import Network Table Shapefile Raster Hazard CollectionShapefile TextFiles Fragility Fig 3 51 Select file type Select SynerG Mapping xml r 4 Open lt 2 Qc Win7 C gt SynerG Data Vienna Fragility Functions Files OUT X 4 Search OUT T Organize New folder v ff di RESOURCES Name Date modified Type Size J links B a Eqvis Fragilities xml 21 02 2012 10 57 XML Document 1 209 KB B Scanin Eqvis Fragilities Test kurz xml 16 02 2012 21 28 XML Document 136 KB RE Desktop Eqvis Fragilities gek rzt xml 16 02 2012 21 14 XML Document 33 KB amp Downloads Eqvis Fragilities ohne amp xml 21 02 2012 10 08 XML Document 1 601 KB O backup Eqvis Mapping xml 21 02 2012 10 24 XML Document 1 007 KB Se N shared L Eqvis Weights xml 27 06 2011 16 01 XML Document 4 KB LN weer qn VM IF u d File name Eqvis Mapping xml X xml X Fig 3 52 Browse Click next Introductory exampl
4. 4 3 1 Managing the layers of the map 48 4 3 2 Improving the visualization cccccceeeceeeceeeceeeceeeceeeceeeceeecseeceeeceeesseeseeenes 48 4 39 9 Saved Analysis WOrkflowS 1 t en ure Lets Hesse tete qe oso ads 48 LAS Mug me 49 5 Using the OOFIMS PIuUG 51 5 1 USING OOFIMS EXAMPLE DATASET IN VIENNA 51 54 1 Download Unzip the dala 2 rrt E Teo EE xen ree Ee prd te n oS Peor ieee 51 5 1 2 Ingesing ING datdsels as99 pieni did en este iet eno E adu 51 9 1 9 Stann The AnalySiSi 52 5 14 The OOFIMSADpubtnds ci iiio 52 9 15 Bh urining tlienmalysls sinisipat o3 5 1 6 Read the output of OOFIMS EEE EAEE AREER 53 5 1 7 Creating the INterSeCtions cccccccseccssceceeecceeeceucecseeseueeseueeseeeseueeneeesseeens 54 5 1 8 Creating the MCDA Sub City Districts file 54 6 USING ANEG MGD A PUG aii ieri eiit eoi eb Pe ouo a aE 55 o MINE RO DUC TIOIM jcccss antonio Leu en tau etre nite ecu esr omnl 55 6 151 OVERVIEW of MCDA SOFTWARE soared las ku seni aR 55 6 1 2 Overview of MCDA Framework 55 6 1 3 Definition of Terms used in MCDA cc cccececcececcccecccceccccaccceceaceueaceueas 56 6 2 6 3 INSTAEEING THE MODA TOOL edant 56 6 2 1 Basic requirements for installing MCDA Tool eeeseeeeeese 56 6 2 2 Quick step by step guide for installing MC
5. 2 Proportion of Children 0 4 3 Proportion of Elderly 65 and over 4 Ratio of sub standard dwellings lacking basic amenities These are the indicators from the Urban Audit which describe the Desire to Evacuate sub criterion more on the choice for the selection of indicators can be found in Reference Report 5 Add Sub criterion to SSI This is the Accessibility Index Al and the Desirability to seek public shelter sub criterion Add Sub criterion to Desirability to seek public shelter sub criterion Here we add four indicators describing this sub criterion 1 Migrants from low HDI countries 2 Ratio of population under Poverty Line 3 Ratio of low education population below ISCED level 2 4 Unemployment Ratio These are the indicators from the Urban Audit which describe the desire to seek public shelter sub criterion more on the choice for the selection of indicators can be found in Reference Report 5 Using the MCDA Plug in File Plots Data View Options a BE ui 3e ud P TI C ME Ane Ep Tree view o ernatives iud 1a level 1 ia level 2 ia level 3 a Fig 6 7 Hierarchical Decision Criteria of Shelter Needs Model developed in MCDA using the Tree View 6 3 3 2 Populating the Data Matrix Once the aggregated decision tree has been constructed in MCDA using the Tree View option see Fig 6 7 the values for each of the Alternatives and Measures can be populated using the Edit Data featu
6. 6 0 lii Lone Parent Households wit Fig 6 8 Hierarchical Data Matrix in MCDA which can be used to enter and edit the raw and normalized value of each of the criteria measures 63 Using the MCDA Plug in 6 3 3 3 Normalization A normalization converts a measure s levels into common units called utility MCDA uses different types of transformation formulas simple linear adjusted simple linear peak linear quadratic simple quadratic adjusted simple quadratic piecewise linear Essentially linear transformation functions straight lines and quadratic transformation functions are smooth curves They can be either decreasing or increasing depending on whether an indicator describes a vulnerability or a coping capacity The only restrictions are that the least preferred Level of a measure must have a Utility normalized value of 0 0 and the most preferred level must have a SUF Utility of 1 0 As can be seen in Fig 6 9 the values of the actual indicators are entered in their raw form which in turn are normalized and presented in the column indicating the transformed variables By default a Adjusted Linear Normalization is used to transform the data To change the transformation values the normalized values can be edited by clicking into a cell of the table Right clicking brings up a context popup By choosing Criterion value function the Normalization frame of the clicked criterion be activated where a normalization functi
7. Choose the Land Use Plan for Vienna that you have downloaded together with this Tutorial and click next The data type you have to set to Land Use Plan click Next Click Next two times until you reach the Descriptive Data window Enter the name Land Use Plan Vienna and give it the number 1 then click Finish The shapefile is now ingested 4 Building Census Right click on the Local Cache button and choose Ingest dataset Select Shapefile as the dataset and click Next Choose the Building Census file for 51 Using the OOFIMS Plug in Vienna that you have downloaded together with this Tutorial and click next The data type you have to set to Building Census click Next Click Next two times until you reach the Descriptive Data window Enter the name Building Census Vienna and give it the number 1 then click Finish The shapefile is now ingested 5 1 3 Starting the Analysis To start the analysis click the execute analysis button in the left window If you do not have selected a scenario yet the user is asked to select the scenario This is only the case if more than one scenario has been created already Now you should be in the Execute Analysis window Click on the Syner G Oofims Button and you should see 4 different options The first thing to do is to create the input file Click on Create Oofims Input and then Finish 5 1 4 The OOFIMS Input mask Now you are at the starting page of the OOFI
8. It also uses NCSA GIS Baseline that is a rich client application This latter is composed by three main functions data management typing ingestion access provenance tracking visualization support for 2D and 3D views zoom selection highlighting analysis execution support for local multithreaded execution visual dataflow system in development The extensions to NCSA GIS and RCP are all provided by plug ins The technologies used by EQvis are all open source software like geotools vtk Visualization Toolkit Jasper Reports for generating various kinds of outputs JfreeChart and Ktable EQvis is also planning developing a cyberinfrastructure cyberenvironment that wants to provide universal access to the calculated results through grid computing both for the calculation part and the Introduction rendering part By using as main transport SOAP HTTP the concept of repositories and grid computing the project is not only a client that makes risk analysis but an entire platform that enables the user to use data from different places data sources EQvis can easily integrate spatial information data and visual information to perform seismic risk and analysis It supports shp file that is really useful to visualize immediately input and output data For what concerns output data it provides different formats of results such as dbf tables shp files and pdf files The level of resolution depends on the size of the geounit th
9. Mapping Default Building Fragility Mapping MAEviz Demo Data local EQvis Building Fragility Mapping Local Cache Fig 3 64 Import fragility mapping Import the Expected Values pof Building Damage Ratios on 7 hle Search for Dataset Please select a dataset of type buildingDamageRatio type filter text Building Damage Ratios v1 1 MAEviz Demo Data local Fig 3 65 Import damage ratios m Goa 37 Introductory example Click the button to run the analysis 3 5 VIEW THE RESULTS 3 5 1 Table view First the results will be viewed in a tabular grid similar to excel In the Scenario View right click on Building Structural Damage layer oelect Show Attribute Table The Table View appears in the bottom right of the application window Moving or resizing operation is possible Localization of the most damaged buildings Scroll to the right edge of the table view and click the column header labeled 0 1 This is the column where the mean damage values of the buildings are shown The table is now sorted by mean damage value Visualization of the buildings on the map of the area At this stage the Building Damage layer shall be selected in the Scenario View and the visualization should be the 2D visualization view In the Table View click on the first row with Value of highest The dots correspondent to the selected building cha
10. None FRMM2SG FRMM2SG Unit None v FSSG FSSG Unit None DamageScale DamageScale Unit None v CSG CSG Unit None FRMSG FRMSG Unit None Region Region Unit None RSMSG RSMSG Unit None X Units Units Unit None EUStructureType EUStructureType Unit None v CMSG CMSG Unit None X PaperReference PaperReference Unit None X ConstructionMaterial ConstructionMaterial Unit None M CLSG CLSG Unit None Observations Observations Unit None v Height Height Unit None v IMT IMT Unit None Methodology Methodology Unit None v NSSG NSSG Unit None X PSG PSG Unit None FSMSG FSMSG Unit None ElementAtRisk ElementAtRisk Unit None Taxonomy Taxonomy Unit None Y E 4 p Tm Eon Fig 3 48 Set extra field information Specify EQvis Building Fragility revision number 1 Click finish Descriptive Data Repository to ingest to Version number of data Local Cache 1 Please enter the following descriptive information Descriptive name for this dataset EQvis Building Fragiity Fig 3 49 Descriptive data 29 Introductory example Ingest the Fragility Mapping Right click on Local Cache bottom left area Select Ingest Dataset F e Eda Anas Datnet Scenario Reports Pee Window Heip Malye scenanos a Vienna 20 9eG6Baa avrpad 8 NOS Z JE Q venns Region of Interest Wier Wien My Mappadie Data V Scenano Data gt Saved Anstyin Workflow cu CE M ee m Ta f A f 7 LA NC J LN Vw J
11. S and Song J 2008 Improved Fragility Relationships for Populations of Buildings Based on Inelastic Response The 14th World Conference on Earthquake Engineering Beijing China October 12 17 Kim Y S 2007 Seismic Loss Estimation and Mitigation of Critical Urban Infrastructure Ph D Dissertation University of Illinois at Urbana Champaign Kim Y S Spencer B F Song J Elnashai A S Stokes T 2007 Seismic Performance of Interdependent Lifeline Systems Mid America Earthquake Center University of Illinois at Urbana Champaign CD Release 07 16 September Kim Y B F Spencer and A S Elnashai 2008 Seismic loss assessment and mitigation for critical urban infrastructure systems NSEL 007 Newmark Structural Engineering Lab Urbana IL University of Illinois Mid America Earthquake Center 2009 mpact of New Maarid Seismic Zone Earthquakes on the Central USA MAE Center Report No 09 03 71 European Commission EUR 26014 Joint Research Centre Institute for the Protection and Security of the Citizen Title Systemic seismic vulnerability assessment software user s manual Author s David Schafer Anna Bosi Ahmet Yakut Fabio Taucer Ufuk Hancilar Luxembourg Publications Office of the European Union 2013 96 pp 21 0 x 29 7 cm EUR Scientific and Technical Research series ISSN 1831 9424 ISBN 978 92 79 30839 0 doi 10 2788 16217 Abstract This report should work as a first guideline for using the
12. Select by clicking on the map Latitude deg 48 2102874281367 Longitude deg 16 374063234405625 Magnitude 6 iz Building Inventory v4 Depth km 15 Buildings Vienna 5 Display Only Raster Display Information MAEviz Demo Data local Grid Points 1035 3 Reset to region of interest Display Raster Grid Spacing deg 0 009068935768217684 Minimum Lat 48 12607499999996 Fig 3 36 Filling the form Earthquake location Magnitude 6 Depth 15 Km Click and specify the position of the Epicenter Its also possible to specify its exact location in the WGS 84 coordinate system In this tutorial the epicenter will be located slightly south respect to the Vienna City Center Raster Display Information Set the Display raster to PGA The other parameters define the area which will be displayed in the Visualization View Leave them as default 23 Introductory example Select the point by clicking on the map then click Finish when done Latitude Longitude 16 4526 48 2334 WGS84 Map Width 18 6303 miles gt MO DLO 1107 Fig 3 37 Select epicentre position Advanced Parameters Depending on the Attenuation Functions that you choose different parameters can be selected In this tutorial they will be left as Default The button should appear green press it The earthquake should be very quickly generated and the name should appear in the scenario view the analysi
13. and internal factors related to desirability to evacuate according to Equation 6 For more on the shelter needs methodology please refer to the SYNER G Reference Report 5 DPI BHI 1 DE 6 1 Using the MCDA Plug in Building Habitability Index BHI D1 Displaced Persons Index DPI Ux Desirability to Evacuate D People p a a Criteria ij E Shelter Needs Index SNI Shelter Seeking Access to Resources Index SSI n Criteria People likely to seek public shelter D4 Fig 6 6 Decision criteria for computing Shelter Needs Index SNI Subsequently the total demand for public shelter for a particular location i e city district can be described as a product of the population at risk of being displaced D1 D2 and D3 to the population likely to seek public shelter D4 This can be expressed by Eq 6 1 SNI DPI SSI 6 2 where SSI is derived from a weighted index related to lack of access of resources indicators in a community or neighborhood as shown in Reference Report 5 and DPI is given as occupants in uninhabitable buildings amplified by external and internal factors related to desirability to evacuate according to Eq 6 2 6 3 2 Steps in developing the model The process of developing the Shelter Needs Index consists of five main steps which should be passed in an iterative manner 1 Theoretical Concept Within the indicator development Indicator Framework
14. constants associated with the active members within a criterion or sub criterion Weights are not important by themselves but do provide an indication of the relative indicators relative importances given their ranges All of MCDA weight computations are based on the ranges defined in the weight dialog boxes 65 Using the MCDA Plug in The weights for each criterion are defined by a Multi Utility Function MUF A Multi measure Utility Function MUF is the formula MCDA software uses to compute the utility common units score for an alternative on a goal based on the alternative s utilities on the goal s members The formula combines the alternative s utilities on the goal s members using a weighted average weighted product or other expressions as entered by the user in the previous step It should be noted that the weights for each MUF add to 10096 The values selected for the weights are shown inFig 6 11 but can be changed interactively by the user for each MUF SNI SSI Desirability to seek public shelter 9 O O O 9 9 10 0 50 0 20 0 10 0 10 0 10 0 10 0 10 0 16 7 833 66 7 33 3 96 25 0 96 25 0 96 25 0 96 25 0 96 DPI SSI Accessibility Index Desirability to seek public shelter Unemployment Ratio Poverty Ratio Migrants from low HDI countries Ratio of low eduction population ISCED 1 2 Fig 6 11 The interactive importance weight dialogue box which can be used to change the weights of each of the criteria measures o
15. each criteria as weighted sum weighted product or a mathematical expression formula defined by the user 65 6 11 The interactive importance weight dialogue box which can be used to change the weights of each of the criteria measures on the fly ssesseuueseeuusse 66 6 12 The stacked bar ranking for SNI displayed up to tier 1 67 6 13 Sorted stacked bar ranking of SNI displayed up to tier 2 67 6 14 Cob web chart showing the distribution of the criteria weights for all of SNI measures al one qlance 68 6 15 Pie charts showing each the product of the weights and values for all of the LUSTY SS rege ce er 68 XV Fig 6 16 A sensitivity graph in MCDA showing the sensitivity of the alternative s ranking to the weights of DP Er 69 List of Tables Table 5 1 Input values for the OOFIMS Tutorial Analysis Table 5 2 Input values for the OOFIMS Tutorial Buildings XVII Introduction 1 Introduction In the Project Syner G the development of a prototype software for end user was a very important goal One objective was to implement the methodologies developed in the various other work packages into the software package 1 1 ABOUT EQVIS EQvis is an advanced seismic loss assessment and risk management software which stands on the Consequence based Risk Management CRM methodology CRM p
16. framework encompasses in an integrated fashion all aspects in the chain from hazard to the vulnerability assessment of components and systems and to the socio economic impacts of an earthquake accounting for all relevant uncertainties within an efficient quantitative simulation scheme and modelling interactions between the multiple component systems The methodology and software tools are validated in selected sites and systems in urban and regional scale city of Thessaloniki Greece city of Vienna Austria harbour of Thessaloniki gas system of L Aquila in Italy electric power network roadway network and hospital facility again in Italy The scope of the present series of Reference Reports is to document the methods procedures tools and applications that have been developed in SYNER G The reports are intended to researchers professionals stakeholders as well as representatives from civil protection insurance and industry areas involved in seismic risk assessment and management Prof Kyriazis Pitilakis Aristotle University of Thessaloniki Greece Project Coordinator of SYNER G Fabio Taucer and Ufuk Hancilar Joint Research Centre Publishing Editors of the SYNER G Reference Reports Abstract This report should work as a first guideline for using the EQvis Platform It shows the user the most used features of the package and guides the user through a tutorial which explains many of the features in EQvis This document can o
17. from the previous task together with some additional information and starts the MCDA software with the requested input The additional information can be Urban Audit Data the required indicators and optional information like Shelter Accessibility and various different transformation functions O Shelter Accessibility MCDA Input All required fields must be completed Required Optional Basic Information Displaced Persons Index Y O Search a vi amp Search Urban Audit Data Fig 6 5 The Analysis MCDA Input left starting screen of MCDA right 63 MCDA SOFTWARE TUTORIAL 6 3 1 SHELTER NEEDS MODEL The integrated shelter needs model developed here is implemented based on the principles of multi criteria decision theory MCDA framework which allows the bringing together of parameters influencing the physical inhabitability of buildings with social vulnerability and coping capacity factors of the at risk population to determine as well as external factors to determine the desirability to evacuate and seek public shelter As shown in Fig 6 6 the mutli criteria framework can be described schematically as composed of the two main criteria overall population at risk of being displaced after an earthquake DPI and the proportion of this population likely to seek public shelter SSI The Displaced Persons Index DPI is given as occupants in Building Habitability Index BHI amplified by external
18. generated Introductory example Next click on Create a new custom report The selection of different items to insert in the Printout report is available Take the and a screenshot of the map c Vienna 2D i Select Report View jz Custom Report Editor 23 ic Report Element Properties v g Fig 3 72 Printout reports The embedding of the items in the report page is possible by dragging them defining a priori their position and size The will be shown in the table as well as the internal number of the building and the probabilities of being in a defined damage state The generation of a PDF file is possible by clicking in any position of the page Report Hilfe TEHTE helk O s h Blo rlu Kommentar Freigeben on P iEn lc ETE is ae Fig 3 73 Generated Pdf 43 Introductory example Print the report or save it by using the buttons Use the small arrow next to the save button to select a different format for saving the report such as PDF HTML etc 3 8 LOGFILE A session log file is available at the path CAEQvisWorkspaceX metadata It gives detailed information regarding the working sessions Example eclipse buildrd unknown java version 1 7 0 05 java vendor Oracle Corporation BootLoader constants OS win32 ARCH x86 WS win32 NL en US Command line arguments os win32 ws win32 arch x86 I ENTRY org eclipse jface 2 0 2012 10 08
19. is present a special function called Saved Analysis Workflows Under this name the software stores and gives direct access to the input forms of the launched analysis This function is very practical for frequent updates and tests on the model 4 Mappable Data i gt Building Structural Damage filtered gt amp Buildings Vienna gt Vienna City Plan Region of Interest E as Scenario Data 4 Lo Saved Analysis Workflows ML Create Scenario Earthquake Building Structural Damage Fig 4 5 Saved analysis workflows 4 3 4 Filtering See the section 4 2 Filtering Data User Interface 49 Using the OOFIMS Plug in 5 Using the OOFIMS Plug in The usage of the OOFIMS software is generally described in Deliverable 2 1 Deliverable 2 1 2009 The software generally starts with the input file which normally is filled within excel This input procedure has been changed to the EQvis platform The input can be given directly in the platform now There is still the option to manipulate the input file directly it is located at C EQvis OOFIMS oofims_in xls 5 1 USING OOFIMS EXAMPLE DATASET IN VIENNA 5 1 1 Download Unzip the data In order to use the OOFIMS software correctly the user has to unzip the data files provided in the OOFIMS Data Example zip file It contains all the necessary data to complete this tutorial The tutorial will explain the main functions on behalf of the Vien
20. of interest a 3 D bars view can be activated Right click the Building Damage layer in the Scenario View and choose Ranged 3D During this step is possible to select the fields to be displayed on the map In this case the chance of each damage state will be represented Select nsignific Moderate Heavy and Complete 39 Introductory example nm w oum SS S39 Select Fields for Damage Bars You must select at least 1 field to display 3D bars If you want to turn off 3D bars you need to unselect all fields sq foot F id str prob a stories b stories sqm repl cost str cost nstra cst nstrd cst int nr dwell per busin per no people traff dist no premis no win drs f widthl f width2 freq long freq cross lat lon n outline F gsq foot Uj gsq m bldg heift bldg heim immocc lifesfty F collprev O o insignific moderate heavy S S S S complete meandamage mdamagedev hazardval cost period Next Cancel Fig 3 68 Setting 3 D damage bars Click next In the next screen associate colors to the various fields Choose a reasonable set of colors or use the defaults then press finish Open the 3 D Visualization The damage bars have been added for each building The size of each color in the bar represents the likelihood that the building will be
21. rata Sek tau d UE Uva ida 43 o9 Generated ub uai cau uie tr nu ee 43 LEO 45 sean dadacatecdd LAER E RETER 47 aso sie 47 Zo aeo a iendanauuthn mudananudialiudananudhn iudanteuds 48 4 5 Saved analysis wOrkflOWs 3 5 ttis e erosion de Stereo sides Re SNO odes 48 6 1 The Analysis Read OOFIMS Output left sample Dataset right 57 6 2 The Analysis Create Intersections left sample Dataset right 58 6 3 Explanation about the computation of the Intersections 59 6 4 The Analysis Create MCDA SCDS left sample Dataset right 59 6 5 The Analysis MCDA Input left starting screen of MCDA right 60 6 6 Decision criteria for computing Shelter Needs Index SNI 61 6 7 Hierarchical Decision Criteria of Shelter Needs Model developed in MCDA using the TEG VIEW g 63 6 8 Hierarchical Data Matrix in MCDA which can be used to enter and edit the raw and normalized value of each of the criteria measures eene 63 6 9 The Criterion Value Function Dialogue Box which can be used to define the shape of the normalization curve of each selected criteria measure 64 6 10 The criteria aggregator dialogue box which can be used to define the aggregation relationship for
22. 0 1 7 TA N f 5 D 0 07 to 0 11 0 1 Sg 0 11 to 0 14 0 1 P 0 14 to 0 17 0 1 Buildings Vienna Vienna City Plan Region of Interest Vienna City Plan Scenario Data amp Saved Analysis Workflows p 4 dg Catalog X WL ES ap c LI fi Local Cache amp Buildings heavy 0 1 complete meandamage 0 mdamagedev 0 1 oldcode newcode haza amp Building Damage ver 4 0 00 0 00 0 00 0 00 Sd TL _ amp Building Fragilities 0 00 0 01 Sd TL F amp Building Fragility Mapping 0 00 0 00 i PGA Building Inventory v4 0 06 0 13 K Sd TL Display Only 0 00 0 00 j PGA amp Anonymous LineString based geo 9 99 0 00 1 f Sd TL E Vienna City Plan 0 03 0 03 i Sd TL e Hazards 0 00 0 00 i i Sd TL fi MAEviz Demo Data local 0 00 0 00 f j PGA 0 03 0 03 Sd TL 0 06 0 13 Sd TL nnn nan a n n b 16 3644 48 2438 WGS84 Map Width 1 3403 miles 7 076 9466 feet E Table Building Structural Damage 23 H TONER Fig 3 71 Filtering data 3 7 PRINTOUT REPORTS Once the user knows how to perform basic analysis on the available Dataset there is the possibility to generate reports automatically These reports can be created and afterwards exported as a PDF Right click the name of your Scenario in the Scenario View and select Reports This will open the Report Selection View It gives a list of reports that can be
23. 14 11 43 403 IMESSAGE Keybinding conflicts occurred They may interfere with normal accelerator operation I SUBENTRY 1 org eclipse jface 2 O 2012 10 08 14 11 43 403 IMESSAGE A conflict occurred for CTRL 3 BindingCCTRL 43 ParameterizedCommand Command at vce maeviz openMessage Open Message Dialog Open a message dialog Category at vce maeviz category Mail null true true null org eclipse ui defaultAcceleratorconfiguration org eclipse ui contexts window system Binding CTRL 3 Parameter zedCommand Command mai l openMessage Open Message Dialog Open a message dialog Category mail category Mail null true true null org eclipse ui defaultAcceleratorconfiguration org eclipse ui contexts window system I ENTRY org eclipse jface 2 0 2012 10 08 14 11 43 403 User Interface 4 User Interface 4 1 OVERVIEW The user interface of EQvis is flexible and modular Each module can be displayed in several positions of the main window or can be either minimized to a Taskbar In the Figure below the Taskbar is shown only on the right side but it could appear also on the other side depending on its position The EQvis workbench is built by a number of Views containing and displaying information about the specific modules Each View is like a sub window within main window and can be minimized maximized or moved from the main window into its own window These interactions are done by clicking the minimize max
24. C Show Properties E Saved An Render in 3D VTK Render in 20 So It Local Cache Buildings P Catalog 2 is Nas N SS LE n 16 3730 48 2261 WGS84 e Building Inventory v4 _ Buildings Vienna ie Display Only MaEviz Demo Data local Map Width 1 0429 miles 5 506 4639 feet Fig 3 30 From 2 D to 3 D render Click the Zoom to full extent button in the toolbar to restore the original default view Navigate the 3D render Introductory example File Edit Analysis Dataset Scenario MaEViz Scenarios 22 Reports File Window Help e 6 Fas A Building Inventory v4 E Buildings Vienna Display Only MaEviz Demo Data local 3 4 EXECUTE ANALYSIS Fig 3 31 3 D render 3 4 1 Analysis 1 Create Scenario Earthquake A basic map of the area of interest has been created in the previous section Adding Data to the Scenario The next step regards the setup and the run of an Analysis Its meant by Analysis any sort of calculation which leads to the generation of outcomes data The first reported type of analysis is a deterministic earthquake map based on a magnitude and epicentre input data Subsequently a building damage analysis will be performed in order to proficiently estimate the occurring damages information on buildings It will be based on both the created earthquake map and on the imported building characterization building inventory Thi
25. DA seeeeeseeeeeeee 57 6 2 3 Links to OOFIMS outputs i e visualization of simulations 57 6 2 4 Using the input interface in the SYNER G Platform to launch MCDA 59 MCDA SOFTWARE TUTORIAL 60 6 9 1 SHELTER NEEDS MODEL veni 60 6 3 2 Steps in developing the MOAEl ccccseccsseeeceeeceeeeceeeesseeseeeeceeeeseeesaeeeseees 61 6 3 3 Implementing the model in MCDA software 62 634 Displaying RESUS RET T T TT 66 xi Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig List of Figures Tol dnteracuve SurTaoce 0r EOV Seice torta osea Saeco Apache tosta uL ot 1 Sul Welcome SCHON ETE TET I TU TT TT 7 3 2 Working CNVIFONIMENL ussdsmeossecs ai 66 8 9 9 INCW SCOLTQEIO astuce 8 od edle 9 redut ma ntietie nds dues odd udut Mal T 9 3 6 Reglor of interest 2 iouis eee upto deo 10 S 7T Delaulbpsraltielel Raga Rh aud RERO aka Bodo ai a 10 3 89 Working environment E o 10 SRoNIgoicizeritzmt ret EE 11 Sn ICR on 11 LEE 12 3 12 Ingest a new Shapefilo T nenne 12 cu KE I eWeritao P ee th mn so See an ee nee ee Pee eee 12 3 14 Set attributes Mappings sssri ppa pe Ra LERTEGE aE RENTRER RERA 12 3 15 oet extra field M OFfTiallOFi s sce tos ocio A Ar ES 13 21G DESCHIPIVE dala ae E eer nee ate D T OU T 13 Sof Ande SUNG dudit bed nire dun det bed PU
26. Defaults then click am Select Analysis Defaults Select a default parameter set to use with this scenario This will minimize user selections for required analysis input parameters Select Default Analysis Parameter Set uoa A 1 ee Lem ne ra men Fig 3 7 Default parameter This screen allows the selection of a default set This will populate the analysis pages with default data where applicable e g fragilities fragility mapping etc User Interface File Edit Analysis Dataset Scenario Reports File Window Help Vienna 2D 33 J HRA L gt F AYVPAY 7 Region of Interest Wien Wien Mt Mappable Data Scenario Data Saved Analysis Workflows 0 MAEviz Demo Data local 16 3910 48 4084 WGS84 Map Width 18 4868 miles 97 610 0688 feet Fig 3 8 Working environment Introductory example At this point your scenario has been created It will appear on the list of the Scenario View A blank outline of Vienna will also appear in the Visualization View 3 3 ADDING DATA TO THE SCENARIO 3 3 1 Adding the City Plan of Vienna Right click on Local Cache bottom left area Select Ingest Dataset F e Eda Anas Dane Scenario Reports Fee Window Heip murve Scensnos Vienna 20 DESA 4 Be 8 Qu Views tgo Intere Mappadie Data a gt Scenano Data wv Served hys a Lp Catalog a Sx N Loca Car p mac
27. Downioad or Publish An Convert Repar Repertory Megrate Report ory Q bport pe WGSS4 Map Mern 18 4868 m es 97 610 0688 feet anges Dataset r Propere Fig 3 9 Ingest data Select Shapefile and click next _ an Select file type Please select the type of file to import Network Table Raster Hazard Mapping CollectionShapefile TextFiles Fragility Back Finish Cancel Fig 3 10 File type 11 Introductory example Click and go to the folder CAEQvis Data Vienna City Plan Organize New folder mo RESOURCES EU Masse J ts links radio A Strukturplan shp 26 11 2007 14 54 AutoCAD Shape So 3344 KB Scanin LS ae File name Strukturplan shp X shp X Fig 3 11 Browse Select the file Struckturplan shp and Click next Ingest a New Shapefile Please enter the paths to the shp file shp CASynerG Data Vienna City Plan Strukturplan shp Collection Name Strukturplan Add Location Tags Fig 3 12 Ingest a new Shapefile Select Anonymous LineString based geometry and click Next Select data type Please select the type of data for this file Select the data type for this file Anonymous LineString based j Anonymous MultiLineString based geometry Anonymous MultiPoint based geometry Anonymous MultiPolygon Anonymous Point based geometry Anonymous Polygon Bloc
28. EQvis Platform It shows the user the most used features of the package and guides the user through a tutorial which explains many of the features in EQvis This document can only serve as a starting point Many of the analyses need special datasets that have to be prepared first This Tutorial comes with a sample dataset for the city of Vienna with which the user can get through the analyses produced in this project More information together with the open source software code and the dataset for this Tutorial can be downloaded at the Syner G website www syner q eu As the Commission s in house science service the Joint Research Centre s mission is to provide EU policies with independent evidence based scientific and technical support throughout the whole policy cycle Working in close cooperation with policy Directorates General the JRC addresses key societal challenges while stimulating innovation through developing new standards methods and tools and sharing and transferring its know how to the Member States and international community Key policy areas include environment and climate change energy and transport agriculture and food security health and consumer protection information society and digital agenda safety and security including nuclear all supported through a cross cutting and multi disciplinary approach ISBN 3 5 32 73 3083 U Publications Office 917892791308390
29. In order to use MCDA comfortably we recommend the following system requirements o Operating system Windows XP Sp3 Vista 7 o CPU with 2 GHz o 2GBRAM o 200 MB hard disk capacity o Graphic card with OpenGL acceleration and a resolution of 1024 x 768 pixels onboard solutions and shared memory technologies are sufficient Using the MCDA Plug in When working on large systems huge amounts of data will be produced As soon as the main memory is not sufficient for taking the data the hard drive will take over 6 2 2 Quick step by step guide for installing MCDA Installing the MCDA Tool in EQvis is actually a very easy task The provided folder called MCDA has to be copied to the right folder Copy the MCDA folder to C EQvis If you want to start MCDA independently of the EQvis platform you have to double click the MCDA GUI jar file MCDA will open If you want to start the MCDA tool in EQvis there are two options either starting MCDA with the symbol in the left upper side of the platform or executing analyses before starting MCDA The first option is more or less the same as starting MCDA directly MCDA Software Interface in EQvis 6 2 3 Links to OOFIMS outputs i e visualization of simulations OOFIMS produced different outputs in different data files There are some matlab files excel files or even figures All these different files are put together in a GIS shapefile This is realised in different analyses that the
30. L MAJOR OCC BROAD OCC REPL COST STR COST NSTRA CST NSTRD CST DGN LVL OCC TYP2 TRACT ID INT NR STREET STREET NR DWELL USE DWELL PER BUSIN PER NO PEOPLE BLDG CORN BLDG ADJRE BLDG ADJLE 4 Id PARID CARD BLDG ID STR PROB A STORIES B STORIES BSMT TYPE SQM OCC DETAIL MAJOR OCC BROAD OCC REPL COST STR COST NSTRA CST NSTRD CST DGN LVL OCC TYP2 TRACT ID DWELL USE DWELL PER BUSIN PER NO PEOPLE BLDG CORN BLDG ADJRE BLDG ADJLE Fig 3 24 Set extra field information 17 Introductory example Give a descriptive name to the imported dataset e g Buildings Vienna Version number It Press Descriptive Data Please enter the following descriptive information Repository to ingest to Local Cache Descriptive name forthis dataset Buildings Vienna Version number of data 1 TORTE Fig 3 25 Descriptive data At this stage of the tutorial the dataset have been imported in the local cache repository Display the data on the map Double click Buildings Vienna in the Catalog bottom left in order to display the building set on the 2D map In alternative you can drag and drop it to the Visualization View File Edit Analysis Dataset Scenario Reports File Window Help Memag O88 HARK PAV FAY IS Vienna 7 Region of Interest Wien Wien ppa
31. MS Input In principle it is divided into 5 sections Analysis Seismic Buildings Water Supply System and Road Network The usage of these sections is described in Deliverable 2 1 In general the use of these input masks is very simple In order to complete the Tutorial you may enter the following inputs Analysis As the simulation method you should choose mcs Various new parameters show up but you can leave them in default 10 10 0 02 Seismic At first you have to specify the seismic shape file Now you can use the file that you imported earlier Click on Search and take the Seismic Shape Vienna OOFIMS file In the following table you may find the input you should input Using the OOFIMS Plug in Table 5 1 Input values for the OOFIMS Tutorial Analysis Ground Motion Prediction Equation AkkarBommer Primary IM PGA Landslide susceptibility map name None VS30 map name None Liquefaction susceptibility map name None Amplification method Gmpe oource model areaFault Number of step Longitude 20 Number of step Latitude Table 5 2 Input values for the OOFIMS Tutorial Buildings Study Region Num Step Longitude otudy Region Num Step Latitude of refinements Good weather fully usable Good weather partially usable Bad weather fully usable Bad weather partially usable Buildings In the Buildings section you have to define also the shapefiles that you
32. RI T A 13 3 18 VV OFKING CNVINONIMG I 14 Sel Moest DataS CL e P 14 O20 SOIC MM A 15 9 21 BOWS 6 15 3922 Slee data VDE 16 3 23 Set attribute mappings ccccceccsecccecesseecceeescececeeescesesseecceeesoeeeseaeseeeeseeeseeeees 16 9 24 ELEXA au e edbet petat en Sa aude end petiuit 17 3 25 Descriptiv dala i2 ctt dota A E 18 3 26 Display the data on the MADP cccsccccseecceeecsececseecceeeceueeseeeceucesuesseeessueeseeessaeess 18 327 AMANO CAV Cl SIVIC 19 9 29 Adjusting DAFAINGTClS uiu inesmsis 19 Seg VISUAIIZALION VIe Wiesen trema T tt haee ttm aded tene bidenan thes 20 3 30 From 2 D to 3 D rende uio 20 xiii 21 a indo REL EE uuo ndo ISL EU ndER REP Hut dude 21 FIG 3 00 SCCNANO SCISCHON RET 22 Fig 3 34 Create scenario earthquake 22 Fig 3 35 Create scenario earthquake advuanced 22 FIs 3 90 FIng the TOFTPsosd oes ufonultoa ue toda nu ul a os Cut onu de tol utu bn Cu uf le ton Cut Eon 23 FG 9 97 Select epiceritre DOSILIOR 24 gie mone m Ire 24 109 39 5vyner G TdDDOl o 25 E10 53 40 ImpoEETE SG MIO Saee Eae C di aa buda 25 Fig 3 41 Create MAPPING diosa eee cinco sec tod 26 Ho 342 Ingest thefragilleS n erenn M 26 10 949 5electtlle YPS Tad s E E 27 FiO 9 44 BOWS C anair A M M 27 FIGs 3 40 INGESE a Fragility F leen 27 F340 Seleer data VPE si 28 FIGs 347 o erauributes mabDblliQssiexeiod iun edis 28 Fig 3 48 Set extra fi
33. S Runner Report Viewer Scenario Browser style Editor P SynerGMapper Fig 3 39 Syner G mapper Press Import Fragilities i eri File Edit Analysis Dataset Scenario Reports File Window Help i MAEViz Scenarios 23 m Fa Vienna 2D e Style Editor 7 Vienna GD She Create Sce CI BIS S x Cjsonrosme Q Vienna m Region of Interest Wien Wien Mu Q Mappable Data Region of Interest Buildings Vienna EQ Vienna 4G EQ Vienna 2 Vienna City Plan Scenario Data Saved Analysis Workflows parsing Tsionis EtAl2011 MRF RC LR oldC Pilotis NonDuctile xml sing Tsionis EtAl12011 MRF RC MR oldC Bare NonDuctile xml sing Tsionis EtA12011 MRF RC MR oldC Infill NonDuctile xml sing Tsionisf EtA12011 MRF RC MR oldC Pilotis NonDuctile xml sing TsionistEtA12011 ShearWalls RC HR LC xml sing TsionistEtA12011 ShearWalls RC HR MC xml sing TsionisfEtA12011 ShearWalls RC MR HC xml sing Tsionisf EtA12011 ShearWalls RC MR LC xml sing Tsionisf EtA12011 ShearWalls RC MR MC xml sing UPAT 2011 Masonry FC 2storeys sing UPAT 2011 Masonry FC 4storeys sing UPAT 2011 Masonry FC 6storeys sing UPAT 2011 Masonry FT 2storeys s UPAT 2011 Masonry FT 4storeys UPAT 2011 Masonry FT 6storeys sing UPAT 2011 Masonry RC 2storeys sing UPAT 2011 Mesonry RC 4storeys sing UPAT 2011 Masonry RC 6storeys sing UPAT 2011 Masonry RT 2storeys sing UPAT 2011 Masonry RT 4storeys sing UPAT 2011 Ma
34. VIEW of MCDA SOFTWARE MCDA is a Java based software for multiple criteria decision In decision making problem the decision maker has some alternatives and some criteria on which the decision is based In MCDA the problem is structured hierarchically to form a value tree In this value tree each criterium is divided to its subcriteria which are weighted by their importance to decision maker On the lowest level criteria the alternatives are weighted The total weights of the alternatives are calculated from these local weights The local weights of criteria and alternatives are given directly or by using some sophisticated weighting method MCDA supports an interactive visual weighting method where the user can change and manipulate the existing weights and interactively investigate the changes upon the total ranking outcome in the analysis As a result of the decision making problem MCDA gives the total weights of the alternatives These weights are shown by bar graphs and bars which can be divided to segments by contribution of each criterion There is also a possibility to run a sensitivity analysis which gives more information about the sensitivity of the results Decision support for emergency management involves resolving conflicting objectives setting priorities and building census for the various perspectives of the many stakeholder groups The implementation of the shelter model has been tested and validated with the use of the MCDA s
35. a local Shelby County Essential Facilities MAEviz Demo Data local Shelby County No SF MAEviz Demo Data local Buildings Vienna Local Cache cana Fig 3 61 Search for Dataset 35 Introductory example Select the Hazard an Search for Dataset OO 6e LL Please select a dataset of type hazardRaster or deterministicHazardRaster or hazard type filter text USGS 500 Year 1 0 Sec SA MAEviz Demo Data local USGS 500 Year PGA MAEviz Demo Data local Zeytinburnu 7 5 M EarthquakeO 0 0 PGV MAEviz Demo Data local Zeytinburnu 7 5 M Earthquakel 0 0 PGA MAEviz Demo Data local Zeytinburnu 7 5 M Earthquake2 0 2 Sa MAEviz Demo Data local Zeytinburnu 7 5 M Earthquake3 1 0 Sa MAEviz Demo Data local EQ Vienna Local Cache EQ Vienna Local Cache EQ Vienna 2 Local Cache 4 Fig 3 62 Search for Dataset EQ Vienna Import the and the an Search for Dataset S EHI Please select a dataset of type buildingFragilities type filter text EQvis Building Fragility Default Building Fragilities MAEviz Demo Data local EQvis Building Fragility Local Cache Fig 3 63 Search for Dataset Building fragility Introductory example Import the m Wo c Sax Search for Dataset Please select a dataset of type buildingFragilityMapping type filter text EQvis Building Fragility
36. a Mappable Data layer in the Scenario View and by selecting Change Layer Style Several features are available such as colour shape and opacity of the map layer To apply the style changes click the Apply button in the view s toolbar 4 2 5 Table View The Table View is used to display tabular data generally the attributes of a set of inventory data or analysis results The most common way to see this view is by right clicking a Mappable Data layer in the Scenarios View and selecting Show Attribute Table 4 2 6 Reports View By right click a scenario name in Scenarios View and selecting is possible to access the Reports View From the Reports View it s possible to select a report to fill The selected report will be generated displayed and saved as PDF User Interface 4 2 7 Fragility View If you right click a fragility dataset from the Catalog View you can select View Fragility to access the Fragility View The Fragility View shows a list of fragility types that you can drill down into to select and view a particular fragility curve r 4 SynerG File Edit Analysis Dataset Scenario Reports File Window Help MatViz Scenarios 22 creiSi alx fey Vienna 7 4 M DB Region of Interest Wien Wien Munic Mappable Data fi a Building Structural Damage filter Buildings Vienna e G Vienna City PI y ah G Reg f Interest Yos Scenario Data M j ie Sav
37. alysis Dataset Scenario Reports File Window Help Matviz Scenarios 23 m r Vienna 2D D Style Editor re Vienna GD She Create Scenario Eartha Dbmeisg 4 x Vienna 3 Region of Interest Wien Wien Mu Mappable Data Region of Interest Buildings Vienna Vienna City Plan Scenario Data Saved Analysis Workflows gnitude Scaling Factors A r DD Catalog 8 ml ab mgx a Local Cache amp Buildings Building Inventory v4 E Buildings Vienna Display Only fi MAEviz Demo Data local Hh i988 S 9 9 S S e REITER 5 let le lel 3 el let 2 7 AL ij gd d Fig 3 35 Create scenario earthquake advanced Introductory example Filling the inputs Basic information Result Name EQ Vienna Periodic Spectrum Method NEHRP Spectrum Attenuation Campbell and Bozorgnia 2006 NGA File Edit Analysis Dataset Scenario Reports File Window Help MAEViz Scenarios 22 7 Big 3E NeISI Vienna 2D amp style Editor 72 Vienna GD Create Scenario Earthquake 3 Groundwater a amp Saved Analysis Workflows Execute Create Scenario Earthquake Required Optional v Basic Information Result Name EQ Vienna 2 Period Spectrum Method NEHRP Spectrum Attenuation Campbell and Bozorgnia 2006 NGA Earthquake Location Pp Select from Source Event O Select from USGS Latest Earthquakes
38. ard Housing Ratio DPI BHI SSI Desirability to seek public shelter DPI Desirability to Evacuate SSI Accessibility Index Importance oe Fig 6 14 Cob web chart showing the distribution of the criteria weights for all of SNI measures at one glance Alternatives SSI Desirability JDPI Desirability SSI Desirability JDPI Desirability to seek public o Lxacuace to seek public a Fvacuate shelter Ratio DPI Desirability adulter Ratin DPI Desirability of low eduction to E of low eduction to DPI Desirability SSI Desirability DPI Desirability z to seek public o Evacuate p Desirability Migrants from 2 A SSI Desirability to seek public a z shelter DPI Desirability shelter Migrants from l to 2a SSI Desirability SSI Desirability to seek public SSI Desirability to seel public to seek public shelter to seek public shelter shelter Unemployment shelter Unemployment Poverty Ratio Ratio Poverty Ratio Ratio SSI Desirability SSI Desirability to seek public SSI Desirability to seek public SSI Desirability DPI Desirability LA DPI ma Ho Index 6 DPI BHI 9 SSI Accessibility Index DPI Desirability to Evacuate Substandard Housing Ratio DPI Desirability to Evacuate Lone Parent Households with Children DPI Desirability to Evacuate Proportion of Children DPI Desirability to Evacua
39. at can be defined by the user The geographical unit could be a regional unit a provincial unit a local unit and it could be an arbitrary polygon regular or irregular Finally EQvis has a user friendly GUI that guides the user through the analyses In the catalogue box in the lower left corner the databases are stored and the user can utilize this box to select default data or their own data that are saved herein In the scenario box in the upper left corner the analyses that have been run can be selected and can be visualized on the right box of the GUI 1 2 USING THE MANUAL Many roads lead to Rome this policy also applies to working with EQvis graphics tables and the Data catalogue are on an equal footing To maintain the character of a reference book the manual follows the order and the structure of the commands The individual tables are described in detail column by column Instead of presenting general Windows features the manual rather gives practical hints and notes If you are new to the program you should work through the introductory example step by step Thereby you will get familiar with the most important features of EQvis Installation 2 Installation 2 1 SYSTEM REQUIREMENTS In order to use EQvis comfortably we recommend the following system requirements O O O Operating system Windows XP Sp3 Vista 7 CPU with 2 GHz 2 GB RAM DVD ROM and 3 5 disk drive for installation alternatively a netwo
40. ble Data a MaAEViz Scenarios 22 16 3702 48 2428 WGS84 p Width 1 0429 miles 5 506 4639 feet Fig 3 26 Display the data on the map Change layer style From Scenario View expand Vienna then Mappable Data Right click on Change Layer Style at SynerG Q MAEVE Scenarios E3 J MelSg 4 x Introductory example ESSE o o ra m File Edit Analysis Dataset Scenario Reports File Window Help B l vienna 20 2 4 Q Vienna Region of Interest Wien Q Mappable Data Region of Interest b Buildings Vienr Gb Vienna City Pla GJ B 2 AR OD Catalog 2 e 4059 0 Local Cache a Buildings i Building Invent Buildings V ic Display Only 3 0 MAEviz Demo Data loc ib Properties Wien Mu f PA 7 f f M ys f Z A Compare with m Show Attribute Table Show Chart Reports Paste Copy Delete Import Style Change Layer Style Zoom to Layer Toggle Visibility Export Dataset Publish Dataset Filter by Region of Interest Map Width 1 0429 miles 5 506 4639 feet Filter Fig 3 27 Change layer style In Style Editor select the Simple Style label Adjust colon and the other properties as required Once finished confirm by pressing the Apply style button in the Style Editor s tab bar File Edit Analysis Dataset Scenario Repo
41. ch scenario you can see a list of Mappable Data These are the layers of data that are possible to visualize on the rendered map The list of Scenario Data includes all non renderable data for the scenario e g tables The Scenario View is the platform where to perform the major operations on the scenarios such as adding an earthquake hazard or other data running damage analyses etc 4 2 2 Visualization View The Render Window is the area where the rendered maps appear Each scenario can have its own rendered 2 D and 3 D map where is possible to represent the results of your analyses The control of the camera position is possible by using the mouse or by clicking the view control buttons in the toolbar 4 2 3 Data Catalogue The Data Catalogue is the list of all the input data of the project It is constituted either by preloaded data such as libraries or by data ingested in the cache during the ongoing session It is organized by repositories which can represent local data or data stored on a remote server Within each repository the data are sorted by typology The data sorted in the Data Catalogue can be added to a Scenario and they can subsequently choose for being shown on the map The data can be added to the Scenario by drag and drop or double click 4 2 4 Style Editor View The Style Editor is used to adjust the way in which a layer of data is displayed in the Visualization View Style Editor is reachable by right clicking
42. click the field no stories This adds the field to the query at the bottom of the page Next click the lt sign button Finally insert the number 3 an Create Filter Create a new filter Fields no_stories FIELD SELECTION occ_type cont val VALUES OF THE FIELDS lt no_stories ke lo 3 no stories lt 3 FILTERING EQUATION Fig 3 70 Filtering data 41 Introductory example Press Finish Get Unique Values button After the selection of a field it is possible to get a list of the values that this field assumes in every line of the database by clicking the button Values When it is pressed a query is sent to the database and the values appear in the matrix They can be then inserted in the Filtering Equation Example We want to display on the map just the buildings with 1 2 and 3 floors Select the field no stories then press Get Unique Values The query from the database gives us the information that no stories can vary from 1 to 17 Then double click one value and complete the filtering equation File Edit Analysis Dataset Scenario Reports File Window Help MAEViz Scenarios 23 ESSI Vienna QD 3 ag eigivelxr j Jr Vienna D L3 Region of Interest Wien Wien Munici E Q Mappable Data Io EQ Vienna p apy amp Building Structural Damage filtere j Ranged by meandamage WB 0 00 to 0 04 0 1 y f CJ 0 04 to 0 07
43. ding Utility Results Buried Pipeline Inventory Buried Pipeline Inventory Damage Buried Pipeline Inventory Loss Results Buried Pipeline Inventory Results Buried Pipeline with Topology Business Content Loss Business Interruption Loss Business Inventory Loss Census Tracts Comparison lt Bi Computed Hazard Values Counties n Fig 3 22 Select data type Press next This page allows the user to import the information present in the database The association of the information contained in the imported database with preset labels allowing the mapping is here possible In this case nothing has to be changed ue EE a Set attribute mappings Please select the attribute columns to map to the MAEviz standard columns You can hold your mouse over a column name for detail the geom the geom vb parid PARID v struct typ STRUCT_TYP v year built YEAR_BUILT no stories NO STORIES occtype OCC_TYPE appr bldg APPR_BLDG v Unit Dollars v cont_val CONT_VAL v Unit Dollars efacility EFACILITY dwell unit DWELL UNIT sq foot SQ FOOT v Unit Square Feet v str_typ2 STR_TYP2 vii I i l lt Back C net gt Finish l Cancel Fig 3 23 Set attribute mappings Introductory example Press next Set extra field information Optionally you can specify friendly names and units for the remaining fields Id PARID CARD BLDG ID STR PROB A STORIES B STORIES BSMT TYPE SQM OCC DETAI
44. e is a i gt a Ingest a Fragility File Please enter the path to the fragility file Fragility File C SynerG Data Vienna Fragility Functions Files OUT Eqvis Mapping x Fig 3 53 Ingest a Fragility File Select data type Please select the type of data for this file Select the data type for this file Building Fragilities Fig 3 54 Select data type 31 Introductory example Click Set attribute mappings Please select the attribute columns to map to the MAEviz standard columns You can hold your mouse over a column name for detail ID FragilityIDCode Author StructureType Stories Description GroundMotions Code DamageType DemandType DemandUnits LimitStates TEqnType TEqnParamO TEqnParami TEqnParam2 EquationType Parameters 4 ID Code Author StructureType Stories Description GroundMotions Code DamageType DemandType DemandUnits LimitStates TEqnType TEqnParamo TEqnParam1 TEqnParam2 EquationType Parameters Fig 3 55 Set attribute mappings Introductory example Click Set extra field information Optionally you can specify friendly names and units for the remaining fields HLSG DSG FRMM1SG ESG ESG RSSG RSSG FRMM2SG FRMM2SG FSSG FSSG DamageScale DamageScale CSG CSG FRMSG FRMSG Region Region RSMSG RSMSG Units Units EUStructureType EUStructureType CMSG CMSG PaperReference PaperReference ConstructionMaterial Constructi
45. e you can provide additional information Options Use Region of Interest View on Completion Fig 3 4 Create scenario Select from the Country menu i l Select a Region of Interest You need to select at least one region or check not to use region of interest Region Selector Regions Selected Austria Hungary Turkey United States of America Region Preview Fig 3 5 Region of interest Select Brigittenau district and select the box A tick will appear next to the name Then click next Introductory example Select a Region of Interest Please select a region of interest for this scenario Region Selector Regions Selected Country Austria v Wien Wien Municipality Wien State Brigittenau District Wien Munici Margareten district Rudolfsheim district Favoriten district Hietzing district Meidling district EEG H Liesing district Floridsdorf district i F Leopoldstadt district Region Preview v Brigittenau district D bling district Wahring district Hernals district F Ottakring district Penzing district LUI Fig 3 6 Region of interest 2 This wizard allows adding multiple regions of interest by selecting more boxes at the same time Anyway this tutorial will only focus on Vienna From the dropdown menu select Empty
46. earches in the datasets for the necessary information that is needed as an input for the MCDA software This analysis produces a shapefile which can be visualised separately and can be used as an input for the MCDA software Execute Cancel amp Create MCDA SCDS All required fields must be completed Required Result Name AT Manually select SimulationResults BEDRIB Sa ws ol M Oofims3 Cells a lt Search Ave XA ARS Sub City Districts cee ESSO SC ODE Fig 6 4 The Analysis Create MCDA SCDS left sample Dataset right As previously explained the intersection is realised in the same way as the intersection from cells to Building Cells 6 2 4 Using the input interface in the SYNER G Platform to launch MCDA To get to the MCDA Plug in with the data produced in OOFIMS you may open the Execute Analysis window and choose Syner G MCDA and then MCDA Input This Analysis again divides in the 2 known categories Required and Optional 99 Using the MCDA Plug in The next field in the required mask is the Indicators field It divides in 4 categories and sets the initial values for each of the categories Once you have inserted all the necessary information the Execute button appears green and the analysis can be started At the end of this analysis the data is automatically loaded in the MCDA input file and MCDA is started 6 2 4 1 MCDA Input This analysis takes the shapefile
47. ed Analysis Workflows m 4 Dg catalog X BL G x Y o lect Rep Custom Re Report Ele E Table Buil a Local Cache amp Buildings A J Kappos G Panagopoulos C Panagiotopoulos G Penelis A hybrid method for the vulnerability assessmer Building Damage ver 4 Tsionis G A Papailia M N Fardis 2011 Analytical Fragility Functions for Reinforced Concrete Buildings and B M Building Fragilities S Cattari E Curti S Giovinazzi S Lagomarsino S Parodi A Penna Un modello meccanico per l analisi di vuln RISK UE An Advanced approach to earthquake risk scenarios with applications to different European towns W M Colombi B Borzi H Crowley M Onida F Meroni amp R Pinho Deriving vulnerability curves using Italian ear Borzi B Pinho R Crowley H Simplified pushover based vulnerability analysis for large scale assessment of RC RISK UE An Advanced approach to earthquake risk scenarios with applications to different European towns W EQvis Building Fragility Building Fragility Mapping Building Inventory v4 Display Only Hazards MaEviz Demo Data local FRAGILITY SET M Rota A Penna G Magenes A methodology for deriving analytical fragility curves for masonry buildings ba m r Fig 4 2 Fragility set Choose the suitable literature model and then view it to by right click Select then View Fragility Set to view a grap
48. eld Infortmation a u ee tret Sine eto Fete Sete D tee e Eumene ud Ud 29 FIG 3 49 Descriptive dala oie sr tr eed a eno RE e Sx Orne ER 29 womens Mares cug Data SE MERE E UU IEEE 30 miemoc eee UU ne eee eee 30 FIO Edu oia edu aM iR UPPER RUP eee ee 30 mie meo mesa gei curd Fragility uL 31 F19s 9 54 5elecr data IV DO ioci i Died t tea tide ease 31 Fig 3 55 SebEatriDute Hmabpllds 77 32 Fig 3 06 Set extra field Information iet co a a ie seu Ex EE LI Peg e Eee EH DEDE ERR 33 FIG 3 57 Descriptive dala seingir snein 34 Fig 3 58 Building Structural 8 6 60686888 34 Fig 9 59 5elect a 34 Fig 3 60 Building Structural Damage 35 gie oNoulb SCaICh tor Bii PRENNE CN 35 Fig 3 62 Search for Datasst EQOVenjyJJ nnne 36 Fig 3 63 Search for Dataset Building fragility 36 FIG 3 04 IMPOM fragility ADDING wits nete sime potest utu sitacatw tod Futu ead ir a auo Eta edet sita ato Cata edet siot tai eu 3 Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig Fig 37 DOO EXC CUT me 38 3 07 VIEW TeSUIIS as cese a ERU RAE Sr 39 3 68 Setting 3 D damage DarS c ccccecsecesceececeececcucescseeeccecescuseeceeeescesescusessceeesceess 40 95995 Eo Cee eee eo eee eO 41 SFO deor tT P E En 41 SMEs USENET 42 IeM vako Deb tudin Uo vaa Sek tuas Uo vao Sek tuu oU
49. es The output is now generated in rectangular cells 5 1 7 Creating the Intersections In order to get the intersection points of these cells with the original you have to click on the Execute Analysis button and choose Create Intersections in the Syner G OOFIMS field opecify the result name Intersections Vienna and provide the 2 datasets that are required The OOFIMS Output raw file and the original file with the Sub City Districts Sub City Districts Vienna 5 1 8 Creating the MCDA Sub City Districts file In order to be able to use the dataset one more analysis has to be performed Create MCDA SCDs is now filling the data into certain format which can be used in the MCDA Plug in There are mainly 3 datasets to be filled Oofims3 Cells is the name of the Create Intersections file Intersections Vienna and Sub City Districts is again the Sub City Districts file for Vienna Sub City Districts Vienna The results of the OOFIMS run can now be specified or EQvis takes the last run of the OOFIMS Runner If you want to specify the file yourself you have to check the box Manually select SimulationResults Note that you have to specify the right SimulationResult xls Set the result name to MCDA SCDs Vienna This file contains now all the information in the correct original format This data can be viewed and filtered again Using the MCDA Plug in 6 Using the MCDA Plug in 6 1 INTRODUCTION 6 1 1 OVER
50. h of the fragility curve Reinforced Concrete 0 4 05 o6 07 08 PGA g Serviceability Damage Control Collapse Fig 4 3 Fragility curve 47 User Interface 4 2 8 Status Bar The status bar is useful to recognize whether EQvis is proceeding in multitasking with background operations A label with the current operation will be shown in this position Such operations could be for instance look for new repositories load the cartography belonging to a determined scenario etc 4 3 SPECIAL FUNCTIONS 4 3 1 Managing the layers of the map The layers can be sorted by means of these buttons To optimize the render view keep the layer with the contour plot of the simulated Earthquake as last item of the list In this way it will be the background for the other layers File Edit Analysis Dataset Scenario Reports GA MAEViz Scenarios EL 1 He mS wx vienna M 5 Region of Interest Wien Wie rrmmemeram Mappabie Data Building Structural Damage filtered Buildings Vienna lt gt ve pu anm K 4b EQ Vienna ic Scenario Data ic Saved Analysis Workflows Fig 4 4 Layers 4 3 2 Improving the visualization In the Style Editor of the layer it is possible to select several options to improve and customize the 2 D or the 3 D renders For example it is possible to vary the chromatic scale for the representation 4 3 8 Saved Analysis Workflows Under Mappable Data
51. have imported earlier Sub City Districts Land Use Plan and Buildings Census When all the parameters are correct you may click on Execute Now the input excel file is written and stored in C EQvis OOFIMS 5 1 5 Running the analysis To run the analysis you have to open Window then Show View gt Other Then Choose the OOFIMS Runner On the screen you should now be able to see the Console and a button called run module Click on that button and the analysis will start Depending on the amount of data that you have specified the computing time varies Once the simulation is finished the console reads done and an output file is created in a new folder in C EQvis OOFIMS output 5 1 6 Read the output of OOFIMS If you want to display the results of the simulation you have to execute a new analysis in the oyner G Oofims field called Read Oofims Output Here you have to specify a name for the result which will then appear in the Scenario View on the left side You have two options now You can either display a specific file of the analysis by clicking manually selecting file o3 Using the OOFIMS Plug in or you can specify the number of the run you want to display For the tutorial write x OOFIMS Output raw click Manually select files and then press Execute Now the output of the OOFIMS plug in is read but the structure of this output does not fit to the original geometry of the input fil
52. he welcome screen Fig 3 1 u8 Synerc File Edit Analysis Dataset Scenario Reports File Window Help Welcome to SynerG Workbench Go to the workbench Fig 3 1 Welcome screen To begin working click the rightmost icon which will take you directly to the workbench Fig 3 2 Introductory example a8 SynerG m File Edit Analysis Dataset Scenario Reports File Window Help C OOFIMS Runner 23 3 MAEViz Scenarios 3 Al Ei s amp Fs Console run module a Dg Catalog 33 28 5 amp 0 Local Cache MaEviz Demo Data local alo Fig 3 2 Working environment 3 2 NEW SCENARIO From the application s menu bar click File gt New Scenario nalysis Dataset Scenario Reports File Window Help O O OOFIMS Runner p Console ak DIS f Local Cach ache MaEviz Demo Data local Fig 3 3 New scenario Alternatively you can click the New Scenario button from the Scenario View s tool bar Enter a for your scenario such as Vienna and then optionally enter any descriptive information about the scenario in the large text box Click next Introductory example us Create Scenario Please enter a name and description for this scenario Name Vienna v Author Institution or other Description Her
53. imize icons in the view s title bar or by clicking and dragging on the view s border or title bar 49 MAEViz Scenarios R amp A DAY V N H qm f 5 f Ey p em Us d x N E JE d f jf render Window Il A 7 l 4 1 9 Vienna Region of Interest Wien Wien Munic f je y Jy s io A zb 05 92 views 7 4 9 Mappable Data E ea Sail d e EQ Vienna gt Building Structural Damage filter p Buildings Vienna ff Vienna City Plan gt Region of Interest k gt Scenario Data gt Sgyed Analysis Workflows Scenario View 2 X amp ws se 8 P ud Y NN 4 fa Taskbar Catalog 45 Select Report View Custom Report Editor Report Element Proper Table Building Structu Local Cache HG gt U MAEviz Demo Data local parid struct_typ year_built no_stories occ_type Data Catalogue URM 0 3 Working area 530 53 i style editor tables results 550 000 RES3 S60 0 appr bldg S cont val S efacilit dwell uni 0 S3 0 0 Se RM 0 COMI URM 0 COM1 URM 0 COM1 3 COMI Status Bar Fig 4 1 Overview 4 2 TERMINOLOGY 4 2 1 Scenario View The Scenario View includes the list of the data pertinent to each scenario They can be either mappable or not Each scenario is listed as a top level item in the view It can be expanded by clicking the plus icon next to its name All the details become then visible 45 User Interface Inside ea
54. in a certain damage state Introductory example aR Symes w em a aE File Ede Analysis Ost staset Scenario Reports File Window Heip MAEVE Scenarios 1 E Vienna 20 7 Vienna 20 3 SBAARC PF aAver DO 7 Welg telix Vienna Region of Interest Wien Wien Municip Qo Saved Analysis Workflows DD Catalog 2 QL EJ X 7 AN Table Building Structural Damage 77 Bomgrisso Local Cache tuhi ns d im Mesfty 1 celprev 0 1 insignific 0 1 moderate 0 1 heavy 0 1 complete 0 meandamage 0 mdamaq J MAEviz Demo Data local HR 002 006 0 098 4008 0 04 010 007 035 MR 000 0 00 0 00 100 0 00 0 00 0 00 0 00 0 00 _ MR 00 00i 0 93 099 0 00 0 02 0 93 002 012 MR 000 0 010 100 402 0 08 010 0 05 023 Ti MR NC 0 00 0 0 0 00 1 00 0 00 0 00 0 00 0 00 0 00 Me 001 0 01 003 0 99 406 0 02 0 03 002 012 Ti MR 000 002 010 100 0 02 0 08 010 005 023 Ti MR 000 002 010 100 002 0 08 010 005 023 HR 002 006 910 0 98 0 03 0 04 010 007 025 Ti MR 0 00 0 02 010 100 0 02 0 08 010 0 05 0 23 MR 000 002 010 100 0 02 0 08 0 95 023 Ti MR NC 000 0 02 010 100 0 02 0 08 010 0 05 023 Ti MR 040 0 010 100 092 0 08 010 005 023 MR 001 001 0 03 099 0 00 0 02 0 03 00 012 Fig 3 69 3 D damage bars 3 6 FILTERING DATA Visualize buildings with less than 3 stories Right click the Building Damage layer and select Filter This brings up the filter dialog In the Create a Filter dialog double
55. ing It does not take long Run in Background Fig 3 17 Ingesting 13 Introductory example Double click Vienna City Plan bottom left of the main window to visualize a 2D render of the imported City Plan ua File Edit Analysis Dataset Scenario Reports File Window Help MaEViz Scenarios 22 El vienna 2D 32 egm ut vwpdz Ol ge gi 4lx Q Vienna m Region of Interest Wien Wien Mt Q Mappable Data Scenario Data Saved Analysis Workflows 4 0 Local Cache 4 Display Only 4 Anonymous LineString based _ Vienna City Plan MAEviz Demo Data local m 16 1976 48 1103 WGS84 Map Width 18 4868 miles 97 610 0688 feet Fig 3 18 Working environment 3 3 2 Adding the Building Dataset Importing Right click on Local Cache bottom left area Select Ingest Dataset F e Eda Anais Dant Scenario Reports Fee Window Heip Malye Scenanos Vienna 20 9eSBeaando gt raverd j Golge Q Vier h Region of Interest Wien Wien Ms Mappadie Data gt Scenano Data v Spred Anatys Workflow J Du S gt Ss TUM pt J p E J j d L az t gt J 9 4 M s 2 lt RU Diesen S ds J a d T 44 e x W Locat Car A mac Downioad or Publuim an Convert Repar Repoutory Megrate Report ory gt tUport 8739 NGG Map Width 18 4868 miles 97 610 0688 feet inges
56. ing of the problem and the values affecting a decision o Basis for further analyses and common language o In addition to identifying and specifying objectives criteria and attributes as well as decision alternatives the aim of problem structuring is the hierarchical modelling of the criteria o Top down approach Strategic approach starting with the determination of the most general objective which is then successively divided into sub objectives and on the lowest level measurable attributes o Bottom up approach Tactical approach starting with the identification of measurable attributes in which the performance of the alternatives differs which are then combined and structured into higher level objectives 6 1 3 Definition of Terms used in MCDA Alternatives possible countermeasure options that might be applicable for our problem Criteria Attribute Means that are important for the decision making process such as consequences deaths costs resources but also acceptance Attribute trees tree structure of criteria attributes that are relevant for the decision making process result of problem structuring Preferences Weights which of the above mentioned criteria attributes is more important for my decision making than others Final goal The objective of my process e g reduction of the amount of contaminated milk above a certain level 6 2 INSTALLING THE MCDA TOOL 6 2 1 Basic requirements for installing MCDA Tool
57. iversity METU Analysis and Monitoring of Environmental Risks AMRA University of Karlsruhe KIT U University of Patras UPAT Willis Willis Group Holdings WILLIS Mid America Earthquake Center University of Illinois UILLINOIS Kobe University UKOBE e Foreword SYNER G is a European collaborative research project funded by European Commission Seventh Framework Program Theme 6 Environment under Grant Agreement no 244061 The primary purpose of SYNER G is to develop an integrated methodology for the systemic seismic vulnerability and risk analysis of buildings transportation and utility networks and critical facilities considering for the interactions between different components and systems The whole methodology is implemented in an open source software tool and is validated in selected case studies The research consortium relies on the active participation of twelve entities from Europe one from USA and one from Japan The consortium includes partners from the consulting and the insurance industry SYNER G developed an innovative methodological framework for the assessment of physical as well as socio economic seismic vulnerability and risk at the urban regional level The built environment is modelled according to a detailed taxonomy grouped into the following categories buildings transportation and utility networks and critical facilities Each category may have several types of components and systems The
58. k Group Population Dislocation Bridge Damage Bridge Functionality Results Bridge Repair Cost Results Bridge Restrofit Cost Estimation Result Bridge Retrofit Benefit Cost Ratio Result Bridges Bridges with Retrofit Strategy Building Census Building Cost Benefit Ratio Result Building Damage ver 4 Building Decision Attribute Results Building Economic Loss Building Economic Loss Ver 4 Bi Building Expected Deaths Building Expected Injuries n Fig 3 13 Select data type Click next z SS M Set attribute mappings Please select the attribute columns to map to the MAEviz standard columns You can hold your mouse over a column name for detail the_geom the_geom Fig 3 14 Set attributes mappings Introductory example Click next Set extra field information Optionally you can specify friendly names and units for the remaining fields FID_ FID_ Entity Entity Handle Handle Layer Layer Color Color Linetype Linetype Elevation i Elevation Thickness Thickness Text 4 Fig 3 15 Set extra field information Give Vienna City Plan as name and version number 1 Descriptive Data Please enter the following descriptive information Repository to ingest to Local Cache Descriptive name forthis dataset Vienna City Plan Version number of data 1 Fig 3 16 Descriptive data while ingest
59. lling Updates and New Modules 6 3 Introductory example nie uina So roe EE P ota P deud ccou e c0 c3 icai dna Eo nuoc opio eru eeadwe 7 od WELCOME SCREEN c Ep Ma EM MdM IME M EM MEMM MIERM I MAMMA EIL ULLAS 7 9 2 NEW SGENARIO oett E S28 Eua ua a ERR qu Pus ES Eua Duo eu cS UA eS Da e Ud 8 3 9 ADDING DATA TO THE SCENARIO eive eve sra to pato ik paa co Ex itu reino Et pera iip 11 3 3 1 Adding the City Plan of Vienna cc ccccccecceceeceseeeeeceeeseeeeeseeeessueeeseeeesaaess 11 932 Adding the Buldmo Dataset sedute esum dela uti et exeun tenus 14 9 4 SEXECUTE ANALYSIS dai 6 21 3 4 1 Analysis 1 Create Scenario Earthquake 21 3 4 2 Analysis 2 Building Structural Damage 25 9 9 VEW THE RESULTS inis MR a 38 SA TADE T E 38 292 SO Damage Bal Ssss 39 30 MEINE ccm 41 37 JTRINTOUTI REPOBLISsti 42 B56 JOG E E E E 44 EE guiar 45 Z4 OVERVIEW unb tat arcu taa aia o Los tapa sU ca n erac ere ee 45 4 2 TERMINOLOGY upset cau ate aue ia Ratio od uter ated ated si 45 A251 OCENO VIOW cta tabe 45 4 2 2 Visualization View 46 423 Data catalogue 46 42A SMe Editor 46 42 5 Table VEW eina Ep c toni eee acta hd o tegi icd REEERE 46 420 i ioe AN E T I EI 46 Z 2 FAOI VOW a n erdum pn adu mant dun nbn dun xa pni UE 47 428 Status Bal iiec vi Hb ed I RT wi Hai edP Rd d VE ePi 48 43 SRBEOIALEERUNCTUIONS vssstsipteb 48
60. lter Needs model according to the equations presented in section 6 4 1 1 SNI use the expression SNI Weighted Product to produce the equation SNI SSI x DPI 2 DPI use the expression DPI weighted BHI 1 weighted Criterion Desirability to Evacuate 3 SSI use the expression SSI weighted Al 1 weighted Criterion Desirability to See Public Shelter 4 Desirability to Evacuate DE use weighted sum aggregator Desirability to Seek Public Shelter SPS use weighted sum aggregator Criteria aggregator Select aggregator and parameters for group Description Criteria are aggregated by evaluating of an mathematical expression Parameter weighted BHI 1 weighted Criterion Variable Description BHI The normalized value of the criterion BHI weighted BHI The weighted normalized value of the criterion BHI weightOf BHI The weight of the criterion BHI Criterion weighted Criterion The weighted normalized value ofthe criterion Criterion weightOf Criterion The weight of the criterion Criterion Fig 6 10 The criteria aggregator dialogue box which can be used to define the aggregation relationship for each criteria as weighted sum weighted product or a mathematical expression formula defined by the user 6 3 3 5 Assigning Weights Using the Data Edit Importance menu from the GUI the weights dialogue can be activated Weights are a loose term for the scaling
61. n the fly 6 3 4 Displaying Results 6 3 4 1 Stacked Bar Chart Ranks your alternatives with a stacked bar chart showing the contribution of the measures and or goals to the results by selecting Plots gt Stacked Bar for Alternatives Menu Each alternative s bar is made up of sub bars that show the contribution from individual measures or goals Alternatives with the minimum utility on a member will have no sub bar for that member Alternatives with the best utility on a member will have the longest sub bar for the member Members with more weight will have longer sub bars As shown inFig 6 12 to display the stacked bar rankings for the main goal SNI the up to tier 1 option has to be selected The sort option will then rank the highest to lowest SCD from left to right It can be seen in this example that SCD 1 has the highest shelter needs as both the contribution of Displaced Persons DPI and Shelter Seeking population SSI are the highest in this SCD By selecting up to tier 1 and up to tier 2 option the sub criteria at each tier will be added to the stacked bar chart Fig 6 12 and Fig 6 13 respectively Using the MCDA Plug in Stacked Bar Chart 1 05 1 00 4 0 95 1 0 90 4 v 0 85 4 Normalize to maximum value 0 80 f L Sort 0 75 1 0 70 4 0 65 1 0 60 1 0 55 1 0 50 1 Criteria 0 45 1 0 40 1 0 35 1 0 30 4 0 25 1 0 15 1 0 10 1 0 05 1 0 00 SCD1 SCD3 Alte
62. na test case on buildings When EQvis has been installed successfully the first calculations with the OOFIMS Plug on can be started 5 1 2 Ingesting the datasets The first things to be done are ingesting the needed data files into the platform For this Tutorial it is sufficient to ingest 4 data files 1 Seismic Shapefile Right click on the Local Cache button and choose Ingest dataset Select Shapefile as the dataset and click Next Choose the Seismic Shapefile for OOFIMS that you have downloaded together with this Tutorial and click next The data type you have to set to Seismic Shapefile click Next Click Next two times until you reach the Descriptive Data window Enter the name Seismic Shape Vienna OOFIMS and give it the number 1 then click Finish The shapefile is now ingested 2 Sub City Districts Right click on the Local Cache button and choose Ingest dataset Select Shapefile as the dataset and click Next Choose the Sub City Districts file that you have downloaded together with this Tutorial and click next The data type you have to set to Building Census click Next Click Next two times until you reach the Descriptive Data window Enter the name Sub City Districts Vienna and give it the number 1 then click Finish The shapefile is now ingested 3 Land Use Plan Right click on the Local Cache button and choose Ingest dataset Select Shapefile as the dataset and click Next
63. nges its color in the Visualization View Hold shift and click the last row with desired mean damage value e g 0 04 This will select all the buildings in between the specified range The whole set of building will change color in the Visualization View Introductory example Analysis Dataset Scenario Reports File Window Help iz Scenarios 23 m LC Vienna 2D X Gr NeiSi 4lx Q Vienna D Region of Interest Wien Wien Municil Mappable Data p Io EQ Vienna OMEN Building Structural Damage Ranged by meandamage y W 0 00 to 0 04 0 1 J 0 04 to 0 07 0 1 y 0 07 to 0 11 0 1 0 11 to 0 14 0 1 aS y NT Y NN 0 14 to 0 17 0 1 Saved Analysis Workflows 4 me 5 16 3692 48 2438 WGS84 ap Width 1 3403 miles 7 076 9466 feet QP cataog X BO B RY GE E Table Building Structural Damage 23 BERLT heavy 0 1 complete E meandamage 0 1 mdamagedev 0 1 oldcode newcode Building Damage ver 4 0 01 7 0 35 E Building Fragilities 0 06 013 Building Fragility Mapping 0 06 0 13 Building Inventory v4 0 06 0 13 Display Only 0 06 0 13 Anonymous LineString based geor _9 96 013 E Vienna City Plan 0 06 013 Hazards 0 06 043 MaEviz Demo Data local WE 0 04 0 01 0 04 0 01 nn nnc Fig 3 67 View results 3 5 2 3D Damage Bars To facilitate the visualization of the damages across the area
64. nly serve as a starting point Many of the analyses need special datasets that have to be prepared first This Tutorial comes with a sample dataset for the city of Vienna with which the user can get through the analyses produced in this project More information together with the open source software code and the dataset for this Tutorial can be downloaded at the Syner G website www syner g eu Keywords Tutorial User Manual EQvis Platform Software Acknowledgments The research leading to these results has received funding from the European Community s oeventh Framework Programme FP7 2007 2013 under grant agreement n 244061 Deliverable Contributors VCE KIT UROMA David Schafer Anna Bosi Thomas Gruber Helmut Wenzel Bijan Khazai Paolo Franchin Francesco Cavallieri vii Table of Contents H E Adeizuuchere m LIU ii FONOW ON ge C H PD SUN ACU eere Dr iii AcknoWledgmenls aes eoe uis vp S nico wena do ME nes Vosa ER ER s CE ELE Y ERI REN ERR A E Seu V D live rable Contributors Me RE EE vii Fable Of COMENTS osci a Ix xor mt xiii BI c xvii 1 Pee rtt 1 LH ABOUT Eta I En RM M Usi eee M BE CM pr 1 kit WIGINOCOIOGY ssnin a ea 2 Wel EID CLANS onesesimeddsime 2 12 USING THEMANUAL rii 3 ERE lcd S E E 5 21 SYSTEM REQGUIBEMENUIS sisdcasmieri 6 5 2 INSTALLATION 5 22 1 Molain TOn DVD 5 2 2 2 ANCTWORGIASTAN AMON cea eiae ne Landes EUR Rae 5 2 2 3 Insta
65. ns Office of the European Union 2013 European Union 2013 Reproduction is authorised provided the source is acknowledged Printed in Ispra Va Italy a iE Sw En G DELIVERABLE Systemic Seismic Vulnerability and Risk Analysis for Buildings Lifeline Networks and Infrastructures Safety Gain PROJECT INFORMATION Project Title Acronym SYNER G Project N 244061 Call N FP7 ENV 2009 1 Project start 01 November 2009 Duration 36 months DELIVERABLE INFORMATION D8 13 Systemic seismic vulnerability assessment Deliverable Title Software user s manual Date of issue 31 March 2012 Work Package WP8 Guidelines recommendations and dissemination Deliverable Task Leader Joint Research Centre Editors David Sch fer and Anna Bosi VCE Reviewer Ahmet Yakut METU REVISION Final Project Coordinator Prof Kyriazis Pitilakis Institution Aristotle University of Thessaloniki e mail kpitilak civil auth gr fax 30 2310 995619 PROGRAMME telephone 30 2310 995693 w r SS SEVENTH FRAMEWORK The SYNER G Consortium Aristotle University of Thessaloniki Co ordinator AUTH Vienna Consulting Engineers VCE u brain Bureau de Recherches Geologiques et Minieres BRGM European Commission Joint Research Centre JRC ee Norwegian Geotechnical Institute NGI NGI University of Pavia UPAV WES University of Roma La Sapienza UROMA Middle East Technical Un
66. nteractive surface of EQvis It enables policy makers and decision makers to ultimately develop risk reduction strategies and implement mitigation actions D Schafer M Pietsch H Wenzel 2013 In EQvis a wide range of user defined parameters are introduced The breadth of user defined parameters enables emergency planners to model a virtually unlimited number of scenarios Achs G et al 2010 Introduction EQvis is based on the open source platform MAEviz developed by the Mid America Earthquake MAE Center and the National Center for Supercomputing Applications NCSA MAEviz Mid America Earthquake Center 2009 It has an open source framework which employs the advanced workflow tools to provide a flexible and modular path It can run over 50 analyses ranging from direct seismic impact assessment to the modelling of socioeconomic implications It provides 2D and 3D mapped visualizations of source and result data and it provides tables charts graphs and printable reports for result data It is designed to be quickly and easily extensible 1 1 1 Methodology EQvis implements Consequence Based Risk Management CRM using a visual menu driven system to generate damage estimates from scientific and engineering principles and data It can also estimate impacts on transportation networks social or economic systems Duenas Osorio L A 2005 Kim Y S Spencer B F Song J Elnashai A S Stokes T 2007 It requires the following a
67. nvert Repar Regoutory Migrate Repoutory gt beot 0299 WGS Map Width 13 4868 miles 57 610 0683 feet V ingest Dataset Properers Q6 COuable B Reconneg Fig 3 42 Ingest the fragilities Introductory example Select from the menu t Qu s Select file type 3 You must select a type from the list below Network Table Shapefile Raster Hazard Mapping CollectionShapefile TextFiles Fragility Back Next gt Finish Fig 3 43 Select file type fragility Browse C EQvis Fragility Functions Files OUT show the files and choose Fragilities xml if Open QU Fragility Functions Files OUT search ou p Organize v New folder v uo KE Desktop Name Date modified Type J Downloads 4 fj Eqvis Fragilities xml 21 02 2012 10 57 XML Document G9 N shared E Eqvis Fragilities Test kurz xml 16 02 2012 21 28 XML Document RecentPlaces Eqvis Fragilities gek rzt xml 16 02 2012 21 14 XML Document Eqvis Fragilities ohne amp xml 21 02 2012 10 08 XML Document 53 Libraries Eqvis Mapping xml 21 02 2012 10 24 XML Document Documents Eqvis Weights xml 27 06 2011 16 01 XML Document 2 Music i Pictures B videos W Computer amp win7 C 4 m H File name Eqvis Fragilitie
68. oftware which was found to be a flexible and practical analytical platform for duplicating methodology The software supports performing sensitivity analyses which can be used to interactively demonstrate variability of the results to different indicators It also enables an evaluation of the stability of the methodology to variability of the input data The advantage of using such a tool is that it integrates the outputs of different physical risk models and that other indicators that may have previously not been available or simply overlooked in a previous analysis can be integrated into the framework interactively to obtain a new evaluation of shelter needs The software was developed at KIT starting September 2010 to present by Susan Vaziri Elahi and Tim Mueller at the Institute for Nuclear and Energy Technologies IKET KIT 6 1 2 Overview of MCDA Framework MAVT Multi Attrioute Value Theory is a MCDA framework that provides methods to structure and analyse problems by means of attribute trees and to elicit the relative importance of the criteria in such a tree oeveral key phases of MCDM resp of MAVT are distinguished 55 Using the MCDA Plug in a LH o o WD Problem Preference Aosvssaiion Sensitivity Final Decision structuring Elicitation sgreg Analysis Recommendation gs g A o Problem structuring can be described as the process of appropriately formulating rather than solving a problem o Better understand
69. on can be defined Criterion value function Criterion value function Lone Parent Households with Children WR MMC EPDEETEECET CA PRICE HEN Normalized value 100 12 5 150 17 5 200 225 2 Value e scb2 6 scp1 6 scp3 Select a criterion to display normalization function Lone Parent Households with Children v Parameter Criterion value function Adjusted simple linear Invert normalization func ele linear Peak linear Quadratic Simple quadratic Adjusted simple quadratic Piecewise linear Unlimited Fig 6 9 The Criterion Value Function Dialogue Box which can be used to define the shape of the normalization curve of each selected criteria measure Using the MCDA Plug in 6 3 3 4 Aggregation of Decision Criteria After the decision tree has been developed the aggregation functions between the various criterion and sub criterion have to be defined A criterion s members are said to interact when a high utility on any one member results in a high utility for the goal or when a low utility on any one member results in a low overall utility for the goal MCDA models interactions by defining a weighted sum weighted product or by allowing the user to enter an expression under the Aggregator option for each of the criteria The aggregator option can be accessed by right clicking on each of the criterion or sub criterion from the decision tree Fig 6 10 The following aggregators are defined for the She
70. onMaterial CLSG CLSG Observations Observations Height Height IMT IMT Methodology Methodology NSSG NSSG PSG PSG FSMSG FSMSG ElementAtRisk ElementAtRisk Taxonomy Taxonomy 4 Fig 3 56 Set extra field information 33 Introductory example Specify EQvis Building Fragility Mapping revision number 1 Click finish F am Descriptive Data Please enter the following descriptive information Repository to ingest to Local Cache Descriptive name for this dataset EQvis Building Fragiity Mapping Version number of data 1 lt Back Next Cancel Fig 3 57 Descriptive data Execute the Damage Analysis Analysis Wizard by clicking the Execute Analysis button on the toolbar Expand SynerG Building and select Building Structural Damage analysis Execute Analysis Please select an analysis Analysis Description s Bridge Computes the structural damage for a building lll Building XY Decision Support amp Socioeconomic Syner G Building S Building Structural Damage Syner G Oofims H Syner G Railway ty Syner G Railwaybridge A Syner G Railwaytunnel 9 Syner G Roadbridge A Syner G Roadtunnel Syner G ShelterNeedsIndex Syner G Water FAT Fig 3 58 Building Structural Damage Specify the Scenario of interest us Select a Scenario Please select a scenario Scenario Fig 3 59 Select a scenario Introduct
71. ory example Click on Building Structural Damage This page represents a graphical view of the damage analysis including the required inputs If the background of the Building Structural Damage button is red the input data are missing Under the tab of the form you will need to provide several inputs If the form is blank no datasets containing Fragilities Expected Value or Fragility have been defined Result name Building Structural Damage 4 Building Structural Damage All required fields must be completed Required Optional v Basic Information p Search po Search Hazard Create Remov v Advanced Parameters Use Hazard Uncertainty Include Liquefaction Fragelites 4 Search Fragsiity Mapping 9 Search Building Stock Uncertainty 0 0 Building Stock Uncertainty Tolerance 0 01 Expected Value a F Search Damage Method Default Building Structural Damage Help Fig 3 60 Building Structural Damage To run this analysis load datasets that contain the data press the Find Dataset button The window that appears contains a list box of all Fragilities Datasets that could be found in any of the connected data repositories Select Buildings Vienna local cache from the list and click Finish m I Search for Dataset Please select a dataset of type buildingv4 or buildingv5 r type filter text Buildings Vienna Shelby County Buildings all MAEviz Demo Dat
72. plies also to the intra model uncertainties associated with the weighting process and the implementation of transformation functions but also the uncertainties contained within the input data which can be substantial Therefore in order to analyse the robustness of the methodology a sensitivity analysis which demonstrates variability of the results should be conducted as a final step Implementing the model in MCDA software 6 3 3 1 Theroetical concept Creating the Decision Tree Using the hierarchical Tree View in the MCDA software under the View gt Frames Menu in the GUI the Shelter Needs Index SNI framework can be implemented by sequentially defining the following options in the decision tree Fig 6 7 1 2 Define Goal In this example Shelter Needs Index SNI is defined as the main goal Add Alternatives to SNI in this example case three Alternatives were added SCD1 SCD2 and SCD3 These are the sub city districts in the example for which the shelter needs is computed Add Criterion to Alternatives The two sub criterion as can be seen in the figure are added as Displaced Persons Index DPI and Shelter Seeking Index SSI Add Sub criterion to DPI This is the Building Habitability Index BHI and the Desirability to Evacuate sub criterion Add Sub criterion to Desirability to Evacuate sub criterion Here we add four indicators describing this sub criterion 1 Ratio of Lone Parent Households with Children
73. process the development of the theoretical indicator framework step 1 contains the specification of the various dimensions to be covered i e the sub systems of the physical risk and social vulnerability explained in depth in Reference Report 5 2 Indicator Selection The second step is defining and populating the indicators for each sub system according to the framework identified in step 1 and collection of the requisite data In order to guarantee the quality of the composite indicator framework the single sub indicators should meet some quality standards For example indicators used should be reliable accessible reproducible Senstity anaysis interpretable and accurate composite indicator value the sub indicator values must be normalized step 3 This is necessary because most of the sub indicators have different units and cannot be combined into the indicator framework in their original values 61 4 6 3 3 Using the MCDA Plug in Aggregation In the fourth step the sub indicators are combined together as a weighted sum which results in the form of one single aggregated index value UDHI and several sub levels Sensitivity Analysis Due to the difficulty in operationalizing all dimensions of vulnerability i e some dimensions cannot be measured and the high amount of underlying data the results might also be affected by different sources of uncertainty This ap
74. r default locale system does not specify a dot as decimal separator you will get a Warning Message at the start of the Fragility Function Manager Please go to your windows system settings and select English USA as your locale system Database of Vienna Copy the folder Data Vienna to C EQvis 2 2 3 Installing Updates and New Modules New versions of the suite will be delivered Introductory example 3 Introductory example This chapter helps you to become familiar with the most important functions of EQvis by using a simple example As there are so many different ways to achieve specific objectives it might make sense to use one or the other always depending on the situation and the user s preferences This example aims to inspire you to discover the possibilities and options of EQvis on your own In this tutorial EQvis will be used to determine the impact of an earthquake occurring in Vienna mainly on its buildings The tool will be used as a specific Emergency Manager would use it In the process it will be shown how to launch the application load the GIS data and generate earthquake hazard information based on the scenario of interest When the base information is loaded it s possible to choose and display information for specific items of interest such as buildings and load fragility information about these particular structures 3 1 WELCOME SCREEN When you start the software for the first time you will be led to t
75. re from the Data Menu in the GUI This brings up a hierarchical table which can be expanded fully and values for all of the indicators measures can be taken over from the Urban Audit or from input models such as the OOFIMS model to compute BHI or the Accessibility model to computer the Accessibility Index Al In this example some fictional values are used as the indicators for each of the three different Sub City Districts SCDs and are entered into the Table Fig 6 8 Input data Criteria SCD2 normalized SCD2 SCD1 normalized SCD1 SCD3 normalized SCD3 v m SNI 0 292883988690685 7 165 0 478000204385197 11 693611111111112 0 2291158069241163 5 6049999999999995 Y SSI 5 747999999999999 5 747999999999999 9 157333333333334 9 157333333333334 2 9759999999999995 2 9759999999999995 v Desirability to seek public shelter 15 5 15 5 27 0 27 0 7 75 F Unemployment Ratio 12 0 12 0 35 0 35 0 5 0 5 0 Ratio of low eduction popula 20 0 20 0 32 0 32 0 5 0 5 0 Poverty Ratio 18 0 18 0 23 0 23 0 8 0 8 0 Migrants from low HDI count 12 0 12 0 18 0 18 0 12 0 12 0 m Accessibility Index 0 872 0 872 0 236 0 236 0 589 0 589 v m DPI 14 25 14 25 24 375 24 375 18 75 18 75 BHI 10 0 10 0 20 0 20 0 30 0 30 0 v Desirability to Evacuate 18 5 18 5 28 75 28 75 7 5 75 Substandard Housing Ratio 25 0 25 0 32 0 32 0 11 0 11 0 Proportion of Children 13 0 13 0 25 0 25 0 5 0 5 0 Proportion of Elderly 18 0 18 0 23 0 23 0 6 0
76. rk installation is possible 1 GB hard disk capacity including approximately 500 MB for installation Graphic card with OpenGL acceleration and a resolution of 1024 x 768 pixels on board solutions and shared memory technologies are not recommended When working on large systems huge amounts of data will be produced As soon as the main memory is not sufficient for taking the data the hard drive will take over This can slow down the computer significantly Therefore an increased memory will speed up the calculation much more than a faster processor When selecting a motherboard make sure that the main memory can be expanded 2 2 INSTALLATION PROCESS 2 2 14 Installation from DVD Once you located the folder setup files follow the instructions reported in Network Installation 2 2 2 Network installation EQvis Create the following local folder and place here all the setup files C EQvis setup_files Install Oracle Java JRE by launching C EQvis setup_files jre 6u30 windows i586 s exe Install the software to the folder C EQvis by running C EQvis setup_files EQvis platform setup Installation OOFIMS Software Install Matlab compiler runtime by launching C EQvis setup files MCHRInstaller exe Copy the folder OOFIMS from setup files to C EQvis MCDA Copy the folder MCDA from setup files to C EQvis Fragility Function Manager Copy the folder Fragility Function Files to C EQvis If you
77. rnatives Fig 6 12 The stacked bar ranking for SNI displayed up to tier 1 on en Stacked Bar Chart DPI BHI OP Desrab ty to Evacuate Fig 6 13 Sorted stacked bar ranking of SNI displayed up to tier 2 Alt Accessib ty index E I Desr at ty to sect public seite 6 3 4 2 Criteria Importance The weights for each of the criteria and the indicators can be changed interactively by selecting the Data gt Edit Importance menu to bring up the weights dialogue box Furthermore by selecting Plots gt Criteria Importance from the drop down menu the importance level weights of each of the criteria sub criteria and measures describing these can be viewed for all the different tiers of the analysis in a cob web chart Fig 6 14 The importance of each of the criteria for the different alternatives can also be summarized by selecting Plots gt Pie Alternatives from the menu Fig 6 15 67 Using the MCDA Plug in SSI Desirability to seek public shelter Poverty Ratio SSI Desirability to seek public shelter Unemployment Ratio SSI Desirability to seek public shelter Migrants from low HDI countries DPI Desirability to Evacuate Proportion of Elderly SSI Desirability to seek public shelter Ratio of low eduction populati DPI Desirability to Evacuate Proportion of Children DPI sirability to Evacuate Lone Parent Households with Children DPI Desirability to Evacuate Substand
78. rovides the philosophical and practical bond between the cause and effect of the disastrous event and mitigation options File Edit Analysis Dataset Scenario Reports File Window Help MAEViz Scenarios 22 mL A Vienna 2D Cl NeIS 4 x Vienna m Region of Interest Wien Wien Municipal Mappable Data gt Building Structural Damage filtered x x i amp Buildings Vienna t Ay NLD G Vienna City Plan B ima o z Region of Interest EQ Vienna Hazard type Sa B 0 08 g to 0 09 g t B 0 09 9to010 g 7 0 10 gto0 12g eer 7 012 gto0 13g 7 013 9to 014 g 7 0 14 9t0015 9 9 015 gto0 16 g B 0 16 gto0 18g BH 0 18 gto0 199g amp Scenario Data amp Saved Analysis Workflows eI dba am F Tr M A i ed Oe AA j n 16 3943 48 2659 WGS84 Map Width 7 4543 miles 39 358 8586 feet 19i Catalog 3 43 3 S MEL Select Report je Custom Repo Report Eleme E Fragility Sets la Fragility Graph Table Buildi 3 a Local Cache H ES MaEviz Demo Data local year built no stories occ type appr_bldg S cont val S efacilit COM1 50 000 30 000 COM7 70 000 50 000 RES3 80 000 60 000 COM1 550 000 30 000 COM1 50 000 30 000 COM1 50 000 30 000 COM1 50 000 30 000 COM4 60 000 40 000 URM 0 S3 0 S3 0 RM 0 0 0 0 0 OQ Um 0 CO WwW Fig 1 1 I
79. rts File Window Help Symbol Apply Style cm Saved Analysis Workflows Shape square Fill Line Color m Width 1 Label Field to be labeled Opacity 100 r dg Catalog 25 Ig als 0 Local Cache Buildings Building Inventory v4 EJ Buildings Vienna Display Only IJ MatEviz Demo Data local o IX Fig 3 28 Adjusting parameters Navigate the 2D render To zoom View pan etc use the controls at the top of the Visualization 19 Introductory example a8 SynerG File Edit Analysis Dataset Scenario Reports File Window Help ELI Ol mge jgv4ilx Vienna C Region of Interest Wien Wien Mu Q Mappable Data Saved Analysis Workflows Vd QA catalog 25 Local Cache Buildings Building Inventory v4 E Buildings Vienna Display Only MaEviz Demo Data local atin j 16 3661 48 2432 WGS84 Map Width 1 0429 miles 5 506 4639 feet Fig 3 29 Visualization view Right click on Mappable Data then Render in 3D VIK This will bring up a Visualization View with the map in a 3d rendered perspective File Edit Analysis Dataset Scenario e AEViz Scenario L Ol mNeISI tx 20 3 syetdto O F BHAA 5 vpad O0 NJ e 4 Q Vienna NS D Region of Interest Wien Wien Mu a Mappabir Paia i T Regia Delete Gb Buildi Add New Map Gb Vienn E Scenario
80. s and observe the 2D map Emed File Edit Analysis Dataset Scenario Reports File Window Help MaEviz Scenarios 22 m Vienna 2D Ol mel Sy Alx Q vi C Region of Interest Wien Wien Mt Q Mappable Data Region of Interest Buildings Vienna EQ Vienna EQ Vienna 2 Saved Analysis Workflows gjm hey QP catalog 23 jm aisiaz 0 Local Cache Buildings Building Inventory v4 Buildings Vienna Display Only MAEviz Demo Data local 16 1818 48 3768 WGS84 Map Width 19 0212 miles 100 431 8753 feet Fig 3 38 View results Introductory example 3 4 2 Analysis 2 Building Structural Damage Building characterization importing the fragility curves Deliverable 7 1 2009 For this purpose the fragility mapping file containing the fragility functions to associate to the buildings is assigned to the taxonomy contained in the building dataset shapefile Click on Window then Show View Expand the subfolder other Double click on SynerGMapper df Show View gt General GIS gt Help MAEViz MAEviz internal gt Reporting Other 48 Show View oa type filter text P DatabaseView if Dataset Chart 1 Decision Analyses Lal Default Set Editor Fragility Mapping Editor rg ImageViewer z ImportExportView z InventoryBrowser E Lag View she Mew Analysis View OOFIM
81. s inputs hazard inventory and fragility models Flesch R 1993 Genct rk B Elnashai A S and Song J 2008 This information is useful to estimate the damage and the losses It can consider different types of assets such as buildings bridges and lifeline gas water electric facilities etc Kim Y S 2007 Kim Y B F Spencer and A S Elnashai 2008 With regards to buildings it estimates structural and non structural damage economic losses and liquefaction damage With regards to bridges it computes damage loss of functionality and repair cost analysis For what concerns lifelines it calculates the network damage and the repair rate analysis Finally it computes socio economic losses such as shelter needs fiscal and business interruption 1 1 2 IT Details EQvis is open source software It is written in Java Language and using Eclipse RCP J McAffer J M Lemieux C Aniszczyk 2010 E Clayberg D Rubel 2008 Eclipse RCP is a platform for building and deploying rich client applications It includes Equinox a component framework based on the OSGi standard the ability to deploy native GUI applications to a variety of desktop operating systems such as Windows Linux and Mac OSX and an integrated update mechanism for deploying desktop applications from a central server RCP made it possible to make EQvis modular and extensible In fact EQvis provides a framework to add new data and algorithms or update existing ones
82. s section goes through all the procedure preliminary to the run Launch the Run Analysis Wizard by clicking the Execute Analysis button Expand and select Create Scenario Earthquake Press Execute Analysis Please select an analysis Analysis Wif Bridge lll Building XY Decision Support n Syner G Building Syner G Oofims H Syner G Railway H Syner G Railwaybridge A Syner G Railwaytunnel H Syner G Road H Syner G Roadbridge A Syner G Roadtunnel Fig 3 32 Execute analysis E Compute Hazard Values at Points Lj Create Scenario Earthqua Generate LPI Map Shelby TN ke 21 Introductory example Select the scenario Vienna ds Select a Scenario Please select a scenario Scenario v Fig 3 33 Scenario selection In the Analysis Wizard simple or complete click on the red button Earthquake in order to access the input form of SynerG File Edit Analysis Dataset Scenario Reports File Window Help MaAeviz Scenarios 23 mL c Vienna 2D D Style Editor fe Vienna GD Cl mel Syel Vienna m Region of Interest Wien Wien Mu Q Mappable Data G Region of Interest Buildings Vienna Vienna City Plan Scenario Data Saved Analysis Workflows m OQ Catalog 25 ELI aoe x a Local Cache amp Buildings Building Inventory v4 E Buildings Vienna Display Only MaEviz Demo Data local File Edit An
83. s xml v xml M Fig 3 44 Browse Click next an Oma o 80 Ingest a Fragility File Please enter the path to the fragility file Fragility File C SynerG Data Vienna Fragility Functions Files OUT Eqvis Fragilities 1 Fig 3 45 Ingest a Fragility File 2 Introductory example Select Building Fragilities on Select data type Please select the type of data for this file x Back Next gt Finish Fig 3 46 Select data type Click r 2 T Set attribute mappings Please select the attribute columns to map to the MAEviz standard columns You can hold your mouse over a column name for detail 1D ID m FragilityIDCode Code Author Author StructureType StructureType Stones Stories Description Description GroundMotions GroundMotions Code Code Damagelype DamageType DemandType DemandType DemandUnits DemandUnits LimitStates LimitStates TEanType TEqntype gt TEgnParamo TEqnParamo TEgnParami T qnParami TEgnParam2 TEqnParam2 EquationType Equationlype Parameters Parameters Fig 3 47 Set attributes mapping Click Introductory example SS ooo Set extra field information Optionally you can specify friendly names and units for the remaining fields an HLSG HLSG Unit None X DSG DSG Unit None FRMM1SG FRMM1SG Unit None ESG ESG Unit None X RSSG RSSG Unit
84. small chapter the calculations for the intersections are explained In Fig 6 3 one can see a typical case of a cell that is produced by OOFIMS This cell contains information about building damage displaced people etc This cell does not coincide with the format of the Sub City Districts It is a completely new grid that is produced The information has to be transformed into the right geometries in this case the Building Cell structure which was the Original input in OOFIMS To do this the cells of the OOFIMS output are intersected with the Original files geometrically In Fig 6 3 one can see a cell brown and one line of an original building cell green area The calculation is now done via the intersection The area of the cell is being calculated and the percentage in relation to the whole area is calculated This percentage is now added to the respective Building Cell it belongs to This calculation is done for each output cell In the end for each cell the user gets a transformation of the information into the original Building Cell structure This procedure is again performed in the next step of the analysis Create MCDA SCDS The calculated Building Cells now represent the cells and they are being intersected with the original file for Sub City Districts Using the MCDA Plug in Fig 6 3 Explanation about the computation of the Intersections 6 2 3 2 2 Create MCDA SCDS This analysis does not perform new computations It s
85. sonry RT 6storeys sing Vacarenau EtA12004 RC 13storeys xml si Vargas EtA12010 RC B8storeys xmldone m i a O 8 x gt Ra Catalog 5 0 Local Cache Buildings Building Inventory v4 EJ Buildings Vienna Display Only 0 MAEviz Demo Data local BERREREREREE Fig 3 40 Import fragilities 25 Introductory example When the fragilities are imported click create mapping the number of the specified buildings It may take a while depending on File Window Help MaEViz Scenarios 25 m ie Vienna 2D e Style Editor Fas Vienna 3D She Create Sce GE BI e S 4 impor Egite create mapping Q Vienna D Region of Interest Wien Wien Mu Mappable Data Region of Interest Buildings Vienna found 22051 RISK UE2003 MACompositeSlabsURM HR MC G EQ Vienna CIMNEApproach EQ Vienna 2 found 22051 RISK UE2003 MACompositeSlabsURM MR MC Vienna City Plan CIMNEApproach es io Dat selected for Int Nr 32 points 22051 gt RISK UE2003 M12 HR cenario Data UNIGEZApproach Saved Analysis Workflows found 22464 Borzi EtA12008b MABrick HighPercentageVoids 2storeys found 22464 Borzi EtA12008b MABrick HighPercentageVoids 3storeys found 22464 Borzi EtA12008b MABrick LowPercentageVoids 2storeys found 22464 Borzi EtA12008b MABrick LowPercentageVoids 3storeys found 22464 Borzi EtA12008b MAStone HighQuality
86. t Dataset Propertert Cwiable Reconnect Fig 3 19 Ingest Dataset Introductory example Select Shapefile and click next E o e Select file type Please select the type of file to import Network Table Raster Hazard Mapping CollectionShapefile TextFiles Fragility Fig 3 20 Select file type Click and go to the folder CAEQvis Data Vienna Buildings Vienna F QC SynerG Data Vienna Buildings Vienna v 4 Search Buildings Vienna Organize Y New folder Yr Favorites ie Name Date modified z jy PROJECTS A Buildings vienna NewTaxonomy_Europe_20110606 shp 04 08 2011 13 39 Aut dJ 1 Uruguay J 2 MFS J 3 Holland J 4 Infralife J 5 Eqvis B RESOURCES J links J radio J Scanin EE Desktop J Downloads O backup GP N shared Y m File name Buildings Vienna NewTaxonomy Europ v shp Fig 3 21 Browse 15 Introductory example Click Define the data set by selecting Building Inventory v4 an Select data type Please select the type of data for this file Select the data type for this file B Building Inventory v5 0 Building Liquefaction Building Non Structural Content Damage Building Non Structural Content Damage V4 Building Population Dislocation Building Repair Cost Results Building Retrofit Benefit Cost Ratio Result Building Retrofit Cost Estimation Result Buil
87. te Proportion of Elderly SSI Desirability to seek public shelter Unemployment Ratio 6 SSI Desirability to seek public shelter Poverty Ratio SSI Desirability to seek public shelter Migrants from low HDI countries SSI Desirability to seek public shelter Ratio of low eduction population ISCED 1 2 Fig 6 15 Pie charts showing each the product of the weights and values for all of the alternatives 6 3 4 3 Analyzing Stability of Analysis By selecting Plots gt Display Solutions Stability from the Menu in the GUI the effect of changing a measure s or criteria s overall weight can be seen Fig 6 16 When you select this option MCDA displays a dialog box where you choose a criterion to analyze e g DPI Using the MCDA Plug in You can also choose a normalized solution in the options The options are to sort the alternatives in the key by Name by their overall ranking or by their ranking on the selected criterion The alternative lines are colored in the order they are shown in the key As such MCDA draws a graph showing the effect of varying the measure s or goal s percentage of the overall weight from O to 100 percent The graph s horizontal axis is the criterion s percentage of the overall weight At 100 percent weight the measure is the only concern and an alternative s overall ranking will match its ranking on the measure At zero percent the measure is not a concern and its weight is distributed among the o
88. ther measures A vertical line represents the measure s percentage of the overall weight in the active preference set d Analyse stability Ce Impact when changing criterion DPI 3 5U 22 6 Importance Criterion to analyse DPI LO JL e J Fig 6 16 A sensitivity graph in MCDA showing the sensitivity of the alternative s ranking to the weights of DPI 69 Heferences References Deliverable 7 1 D7 1 Fragility Curves Archive Syner G Project No 244061 FP7 ENV 2009 1 Deliverable 2 1 D2 1 General methodology for systemic vulnerability assessment Syner G Project No 244061 FP7 ENV 2009 1 MAEviz software tool http mae cee illinois edu software and tools maeviz html J McAffer J M Lemieux C Aniszczyk 2010 Eclipse Rich Client Platform Second Edtion Addison Wesley ISBN 13 978 0 321 60378 8 ISBN 10 0 321 60378 8 E Clayberg D Rubel 2008 Eclipse Plug ins Third Edition Addison Wesley ISBN 13 978 0 321 55346 1 ISBN 10 0 321 55346 2 D Sch fer M Pietsch H Wenzel EQvis A consequence based risk management software tool SEMC Conference Cape Town 2013 Achs G et al 2010 Erdbeben im Wiener Becken Wien www seismid com Duenas Osorio L A 2005 Interdependent Response of Networked Systems to Natural Hazards and Intentional Disruptions Ph D Dissertation Georgia Institute of Technology Flesch R 1993 Baudynamik Band 1 Bauverlag Genct rk B Elnashai A
89. user can perform within the platform There is a logic behind all these steps which will be shown in this chapter 6 2 3 1 Reading the OOFIMS Outputs This analysis reads the outputs from OOFIMS and stores them internally The user has to provide the run number which shall be displayed within the platform or manually select the files The user has to provide a folder 4 Read Oofims Output All required fields must be completed Required Basic Information Oofims2 Result Name Oofims Source Manually select files Run File Number 1 A If WM a Cg 16 3434 48 2458 WGSB4 Fig 6 1 The Analysis Read OOFIMS Output left sample Dataset right ir ums S LS ERR LT E Map Width 2 2439 miles 11 847 9774 feet 57 Using the MCDA Plug in 6 2 3 2 Create Intersections This analysis takes the file from the last analysis and intersects the results with the original Sub City Districts file The output of OOFIMS is characterised through cells which can be defined prior to the calculations done in OOFIMS Depending on the size of the cells the results may vary 4 Create Intersections All required fields must be completed Required Result Name Oofims2 Cells 9 Search 18 Create d Sub City Districts Search Fig 6 2 The Analysis Create Intersections left sample Dataset right 6 2 3 2 1 Explanation about the calculations In this

Download Pdf Manuals

Related Search

Related Contents

Yamaha 02R96 Product Sheet : Free Download, Borrow, and Streaming : Internet Archive  BEDIENUNGSANLEITUNG  Honeywell HS-120C Series User's Manual  企 警 告 取り扱いを誤ると、死亡または重厚などを負う可能性があります。  Réflexions basées sur un examen multi organismes - Inter  Mazda CX-9 Navigation Manual  Yuma Quickstart Guide  StarTech.com 0.5m Micro USB Cable - A to Up Angle Micro B  

Copyright © All rights reserved. Failed to retrieve file