Decision-making and Evacuation of Beachgoer Against Tsunami Disaster

Mitsudo, Kenji; Kawanaka, Ryuji; Ishigaki, Taisuke; Shimada, Hiroaki

doi:10.2208/kaigan.66.1316

Cited by 4 publications

(1 citation statement)

References 1 publication

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“…Japan, one of the study areas in this paper, is no exception. An examination of Japanese reports found that disaster consciousness was identified as a key determinant of evacuation success (e.g., Kawata et al, 1999;Miyase et al, 2009;Matsumoto et al, 2010;Saiga et al, 2011;Yoshida et al, 2011;Sugimoto et al, 2012;Tatsukawa et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

A Comparison of the Reasons for Evacuation Behavior during Floods

Oikawa

Keerati

Katada

et al. 2016

Journal of Natural Disaster Science

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The state of so-called disaster consciousness has generally been seen as one of the typical determinants of evacuation behavior during floods. However, the preconception that a high level of disaster consciousness ought to lead to a high rate of evacuation, and that a low rate of evacuation is because of a low level of disaster consciousness, is overly simplistic. In this paper, a counterexample from Thailand is given in which a high level of disaster consciousness leads to a low rate of evacuation, and this is then contrasted with a case from Japan in which a high level of consciousness leads to a high rate of evacuation. Using a questionnaire survey, unified data were collected. The investigation found that the respondents in Thailand tended to remain in their own homes during a flood disaster because of their high disaster consciousness. Consequently, in such a region, disaster risk management education that aims to raise disaster consciousness should be implemented after social unrest is quelled.

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Section: Introductionmentioning

confidence: 99%

A Comparison of the Reasons for Evacuation Behavior during Floods

Oikawa

Keerati

Katada

et al. 2016

Journal of Natural Disaster Science

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Effectiveness of hard and soft tsunami countermeasures on loss of life under different population scenarios

Takabatake

Esteban

Nistor

et al. 2020

International Journal of Disaster Risk Reduction

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Crowd flow forecasting via agent-based simulations with sequential latent parameter estimation from aggregate observation

Makinoshima

Oishi

2022

Sci Rep

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Unlike conventional crowd simulations for what-if analysis, agent-based crowd simulations for real-time applications are an emerging research topic and an important tool for better crowd managements in smart cities. Recent studies have attempted to incorporate the real-time crowd observations into crowd simulations for real-time crowd forecasting and management; however, crowd flow forecasting considering individual-level microscopic interactions, especially for large crowds, is still challenging. Here, we present a method that incorporates crowd observation data to forecast a large crowd flow, including thousands of individuals, using a microscopic agent-based model. By sequentially estimating both the crowd state and the latent parameter behind the crowd flows from the aggregate crowd density observation with the particle filter algorithm, the present method estimates and forecasts the large crowd flow using agent-based simulations that incorporate observation data. Numerical experiments, including a realistic evacuation scenario with 5000 individuals, demonstrated that the present method could successfully provide reasonable crowd flow forecasting for different crowd scenarios, even with limited information on crowd movements. These results support the feasibility of real-time crowd flow forecasting and subsequent crowd management, even for large but microscopic crowd problems.

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Decision-making and Evacuation of Beachgoer Against Tsunami Disaster

Cited by 4 publications

References 1 publication

A Comparison of the Reasons for Evacuation Behavior during Floods

A Comparison of the Reasons for Evacuation Behavior during Floods

Effectiveness of hard and soft tsunami countermeasures on loss of life under different population scenarios

Crowd flow forecasting via agent-based simulations with sequential latent parameter estimation from aggregate observation

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