Hybrid system for generating data on human flow in a Tsunami disaster

Takehiro Kashiyama, Yoshihide Sekimoto, Masao Kuwahara, Takuma Mitani, Shunichi Koshimura

Research output: Contribution to journalArticle

Abstract

Japan has suffered significant damage from countless earthquakes throughout its history. Thus, it is important to take prompt and effective measures against major future earthquakes predicted. Among the components of damage, measures against tsunamis are a top priority, as demonstrated by the catastrophic losses caused by the Great East Japan Earthquake (GEJE). To date, many studies have been conducted on tsunamis to investigate detection, prediction of flooding, and models of evacuation behaviors. Therefore, this study sought to integrate the results of increasingly advanced research in various fields to construct a system that generates data on human flow during a tsunami disaster. We proceeded with a scenario assuming the Great Nankai Trough Earthquake and considered Kochi City as a case study to conduct a trial tsunami evacuation simulation. We validated and evaluated the evacuation behaviors as a scheme for utilizing knowledge of the ever-changing conditions of evacuation and conducted a visualization and analysis of the simulation results.

Original languageEnglish
Pages (from-to)347-357
Number of pages11
JournalJournal of Disaster Research
Volume13
Issue number2
DOIs
Publication statusPublished - 2018 Mar

Keywords

  • Damage prediction
  • Evacuation behavior
  • Migration data
  • Traffic simulation
  • Tsunami damage

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Engineering (miscellaneous)

Fingerprint Dive into the research topics of 'Hybrid system for generating data on human flow in a Tsunami disaster'. Together they form a unique fingerprint.

  • Cite this