Identifying evacuees’ demand of tsunami shelters using agent based simulation

Erick Mas, Bruno Adriano, Shunichi Koshimura, Fumihiko Imamura, Julio H. Kuroiwa, Fumio Yamazaki, Carlos Zavala, Miguel Estrada

    Research output: Chapter in Book/Report/Conference proceedingChapter

    6 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationAdvances in Natural and Technological Hazards Research
    PublisherSpringer Netherlands
    Pages347-358
    Number of pages12
    DOIs
    Publication statusPublished - 2014

    Publication series

    NameAdvances in Natural and Technological Hazards Research
    Volume35
    ISSN (Print)1878-9897
    ISSN (Electronic)2213-6959

    Keywords

    • Agent based model
    • Evacuation simulation
    • Tsunami evacuation building
    • Tsunami simulation

    ASJC Scopus subject areas

    • Global and Planetary Change
    • Geography, Planning and Development
    • Economic Geology
    • Computers in Earth Sciences
    • Management, Monitoring, Policy and Law

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