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A Simulation and Visualization Environment for Spatiotemporal Disaster Risk Assessments of Network Infrastructures

Bibliographic Data

ID14701426
AuthorsMagnus Heitzler (0000-0002-9021-4170, Institute of Cartography and Geoinformation / ETH Zurich / Zurich / Switzerland, corresponding author), Juan Carlos Lam (0000-0003-3898-1468, ETH Zurich), Jürgen Hackl (0000-0002-8849-5751, ETH Zurich), Bryan T Adey (0000-0002-4932-5901, ETH Zurich), L Hurni (0000-0002-0453-8743, ETH Zurich)
Year2017
Volume52
Issue4
Pages349-363
Publication date2017-12-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCartographica The International Journal for Geographic Information and Geovisualization (JOURNAL)
Journal identifiersISSN: 0317-7173 • E-ISSN: 1911-9925
PublisherUniversity of Toronto Press Inc. (UTPress) (PUBLISHER)
DOI10.3138/cart.52.4.2017-0009
OpenAlexW2777463893
LanguageEN
References cited22

Emerging methodologies for risk assessments of civil infrastructure networks require the coupling of several spatiotemporal models that need to be executed multiple times with varying parametrizations to account for model uncertainty and to investigate “what-if” scenarios. These requirements led to the development of a software environment to support the simulation process and the visual analysis of its results. The simulation engine component of the environment makes it possible to define, couple, and execute models. An embedded infrastructure model facilitates the development of functionality to estimate and aggregate capacity measures of single objects affected by multiple hazards. The simulation manager component can be used to execute multiple instances of the simulation engine conveniently with varying parametrizations. The included visualization tool provides two complementary views. The ensemble view can be used to analyze the data at a highly aggregated level with information visualization techniques and the simulation view can be used to investigate simulations in greater detail via an interactive map window and a state dependency graph. The software environment is used in a risk assessment for the region of Chur, Switzerland, which comprises the simulation of multiple natural hazard scenarios that lead to impaired transport infrastructure capacities and thus to disrupted traffic flows

Aggregate (composite · Component (thermodynamics · Data mining · Dependency (UML · Distributed computing · Hazard · Microsimulation · Process (computing · Simulation modeling · Software engineering · Traffic simulation · Transport engineering · Visualization · Computer Science · Data Management and Algorithms · Data Visualization and Analytics · Engineering · Geographic Information Systems Studies · Software

  • Modelling Transport

    Open Access•Juan De Dios Ortúzar, Luis G Willumsen et al.•Modelling Transport•2011

  • Gephi

    Open Access•Mathieu Bastian, Sébastien Heymann et al.•Proceedings of the International…•2009

  • Cartographic Visualization of Vulnerability to Natural Hazards

    Tomasz Opach, Jan Ketil Rød•Cartographica The International…•2013

Citation velocityhistorical
Highly citedNo

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