Emergency Preparedness in the Case of a Tsunami—Evacuation Analysis and Traffic Optimization for the Indonesian City of Padang

Gregor Lämmel (), Marcel Rieser, Kai Nagel, Hannes Taubenböck, Günter Strunz, Nils Goseberg, Thorsten Schlurmann, Hubert Klüpfel, Neysa Setiadi and Jörn Birkmann
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Gregor Lämmel: TU Berlin, Transport Systems Planning and Transport Telematics
Marcel Rieser: TU Berlin, Transport Systems Planning and Transport Telematics
Kai Nagel: TU Berlin, Transport Systems Planning and Transport Telematics
Hannes Taubenböck: German Aerospace Center (DLR), German Remote Sensing Data Center (DFD)
Günter Strunz: German Aerospace Center (DLR), German Remote Sensing Data Center (DFD)
Nils Goseberg: Leibniz University of Hannover, Franzius Institut for Hydraulic, Waterways and Coastal Engineering
Thorsten Schlurmann: Leibniz University of Hannover, Franzius Institut for Hydraulic, Waterways and Coastal Engineering
Hubert Klüpfel: TraffGo HT GmbH
Neysa Setiadi: United Nations University, Institute for Environment and Human Security
Jörn Birkmann: United Nations University, Institute for Environment and Human Security

A chapter in Pedestrian and Evacuation Dynamics 2008, 2010, pp 171-182 from Springer

Abstract: Summary The “Last-Mile Evacuation” research project develops a numerical last mile tsunami early warning and evacuation information system on the basis of detailed earth observation data and techniques as well as unsteady, hydraulic numerical modeling of small-scale flooding and inundation dynamics of the tsunami including evacuation simulations in the urban coastal hinterland for the city of Padang, West Sumatra, Indonesia. It is well documented that Sumatra’s third largest city with almost one million inhabitants is located directly on the coast and partially sited beneath the sea level, and thus, is located in a zone of extreme risk due to severe earthquakes and potential triggered tsunamis. “Last-Mile” takes the inundation dynamics into account and additionally assesses the physical-technical susceptibility and the socio-economic vulnerability of the population with the objective to mitigate human and material losses due to possible tsunamis. By means of discrete multi-agent techniques risk-based, time- and site-dependent forecasts of the evacuation behavior of the population and the flow of traffic in large parts of the road system in the urban coastal strip are simulated and concurrently linked with the other components.

Keywords: Nash Equilibrium; Street Network; Cellular Automaton; Evacuation Time; Tsunami Inundation (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-04504-2_13

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DOI: 10.1007/978-3-642-04504-2_13

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