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| Titel |
A spatiotemporal optimization model for the evacuation of the population exposed to flood hazard |
| VerfasserIn |
H. Alaeddine, K. Serrhini, M. Maizia, E. Néron |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Sciences ; 15, no. 3 ; Nr. 15, no. 3 (2015-03-30), S.687-701 |
| Datensatznummer |
250119381
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| Publikation (Nr.) |
 copernicus.org/nhess-15-687-2015.pdf |
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| Zusammenfassung |
| Managing the crisis caused by natural disasters, and
especially by floods, requires the development of effective evacuation
systems. An effective evacuation system must take into account certain
constraints, including those related to traffic network, accessibility, human
resources and material equipment (vehicles, collecting points, etc.). The
main objective of this work is to provide assistance to technical services
and rescue forces in terms of accessibility by offering itineraries relating
to rescue and evacuation of people and property. We consider in this paper
the evacuation of an urban area of medium size exposed to the hazard of
flood. In case of inundation, most people will be evacuated using their own
vehicles. Two evacuation types are addressed in this paper: (1) a preventive
evacuation based on a flood forecasting system and (2) an evacuation during
the disaster based on flooding scenarios. The two study sites on which the developed
evacuation model is applied are the Tours valley (Fr, 37), which
is protected by a set of dikes (preventive evacuation), and the Gien valley
(Fr, 45), which benefits from a low rate of flooding (evacuation before and
during the disaster). Our goal is to construct, for each of these two sites,
a chronological evacuation plan, i.e., computing for each individual the
departure date and the path to reach the assembly point (also called shelter)
according to a priority list established for this purpose. The
evacuation plan must avoid the congestion on the road network. Here we
present a spatiotemporal optimization model (STOM) dedicated to the
evacuation of the population exposed to natural disasters and more
specifically to flood risk. |
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