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  1. 防災科研関係論文

Identifying evacuees’ demand of tsunami shelters using agent based simulation

https://nied-repo.bosai.go.jp/records/4106
https://nied-repo.bosai.go.jp/records/4106
c913b403-c43b-449f-93f2-4f626ef01a72
Item type researchmap(1)
公開日 2023-03-30
タイトル
言語 en
タイトル Identifying evacuees’ demand of tsunami shelters using agent based simulation
著者 Erick Mas

× Erick Mas

en Erick Mas

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Bruno Adriano

× Bruno Adriano

en Bruno Adriano

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Shunichi Koshimura

× Shunichi Koshimura

en Shunichi Koshimura

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Fumihiko Imamura

× Fumihiko Imamura

en Fumihiko Imamura

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Julio H. Kuroiwa

× Julio H. Kuroiwa

en Julio H. Kuroiwa

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Fumio Yamazaki

× Fumio Yamazaki

en Fumio Yamazaki

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Carlos Zavala

× Carlos Zavala

en Carlos Zavala

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Miguel Estrada

× Miguel Estrada

en Miguel Estrada

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抄録
内容記述タイプ Other
内容記述 © 2014, Springer Science+Business Media Dordrecht. In plain areas prone to tsunami, finding a way to shelter and escape from the inundation becomes a difficult task for residents. The 2011 Great East Japan Tsunami has shown that the horizontal evacuation using cars can compromise the safety of people. Another alternative is the vertical evacuation. In many cases, not only the capacity of these shelters plays an important role, but the spatial distribution and the evacuee preference for the nearest shelter. Such preference and location creates a conflict between capacity offer and demand. In this paper, we used an agent based model to simulate the evacuation of pedestrians and cars in La Punta, Peru. Twenty designated buildings for vertical evacuation are available for sheltering and escape from tsunami. The stochastic simulation of population spatial distribution and their refuge preferences revealed the over demand of some shelters. Finally, a capacity-demand map was created to share results with local authorities as a first step for future countermeasures in the district.
言語 en
書誌情報 en : Advances in Natural and Technological Hazards Research

巻 35, p. 347-358
ISSN
収録物識別子タイプ EISSN
収録物識別子 2213-6959
DOI
関連識別子 10.1007/978-94-007-7269-4_19
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