Abstract

Tsunamis could cause devastating damage to vast coastal areas. In order to understand tsunami hazards in a certain area, it is important to assess the potential casualties that can result from a given event. Although many studies related to tsunami casualty estimations exist, most of them have not taken detailed evacuation behavior of at-risk individuals into account. For instance, although people have been found to have a variety of triggers that can prompt them to evacuate (e.g. feeling earthquake shaking, seeing others evacuating), to the authors’ knowledge these effects have been ignored when conducting an estimation of the numbers of potential casualties. For some coastal areas, during a tsunami large number of visitors could be present, who have less knowledge about the locations of safe places. Nevertheless, there has also been little consideration regarding their presence and behavior. In this study, an advanced approach for estimating the number of tsunami casualties is presented and applied to Yuigahama Beach, Kamakura City, Japan, which has a high risk of tsunami and large number of tourists throughout the whole year.

Highlights

  • Tsunamis could cause devastating damage to vast coastal areas

  • The approach presented in this study is based on Takabatake et al (2018), and uses an agent-based tsunami evacuation simulation model that considers a variety of types of evacuation behavior of local resident and visitors

  • Behavior parameters are incorporated using the results from previous questionnaire surveys, which had investigated tsunami awareness and intended evacuation behavior of local residents and visitors (e.g. Carlos-Arce et al 2017)

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Summary

Introduction

Tsunamis could cause devastating damage to vast coastal areas. In order to understand tsunami hazards in a certain area, it is important to assess the potential casualties that can result from a given event. METHODOLOGY The approach presented in this study is based on Takabatake et al (2018), and uses an agent-based tsunami evacuation simulation model that considers a variety of types of evacuation behavior of local resident and visitors. Behavior parameters are incorporated using the results from previous questionnaire surveys, which had investigated tsunami awareness and intended evacuation behavior of local residents and visitors (e.g. Carlos-Arce et al 2017).

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