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The contribution of tsunami evacuation analysis to evacuation planning in Chile: Applying a multi-perspective research design

Kubisch, Susanne; Guth, Johanna 1,2; Keller, Sina 1; Bull, María T.; Keller, Lars; Braun, Andreas Ch. 2
1 Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)
2 Institut für Regionalwissenschaft (IfR), Karlsruher Institut für Technologie (KIT)

Abstract:
Research on evacuation behavior in natural disasters provides a valuable contribution in the development of effective short- and long-term strategies in disaster risk management (DRM). Many studies address evacuation simulation utilizing mathematical modeling approaches or GIS-based simulation. In this contribution, we perform a detailed analysis of an entire evacuation process from the decision to evacuate right up to the arrival at a safe zone. We apply a progressive research design in the community of Talcahuano, Chile by means of linking a social science approach, deploying standardized questionnaires for the tsunami affected population, and a GIS-based simulation. The questionnaire analyzes evacuation behavior in both an event-based historical scenario and a hypothetical future scenario. Results reveal three critical issues: evacuation time, distance to the evacuation zone, and method of transportation. In particular, the excessive use of cars has resulted in congestion of street sections in past evacuations, and will most probably also pose a problem in a future evacuation event. As evacuation by foot is generally recommended by DRM, the results are extended by a GIS-based modeling simulating evacuation by foot. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000105414
Veröffentlicht am 14.02.2020
Originalveröffentlichung
DOI: 10.1016/j.ijdrr.2019.101462
Scopus
Zitationen: 7
Dimensions
Zitationen: 10
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Photogrammetrie und Fernerkundung (IPF)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 05.2020
Sprache Englisch
Identifikator ISSN: 2212-4209
KITopen-ID: 1000105414
Erschienen in International journal of disaster risk reduction
Verlag Elsevier
Band 45
Seiten Article No.101462
Vorab online veröffentlicht am 11.01.2020
Nachgewiesen in Dimensions
Scopus
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