Agent-Based Flood Evacuation Simulation across Administrative Borders - Case Study in Downstream Basin of Ane and Takatoki River -

Hatayama, Michinori; Yukawa, Seitaro; Edahiro, Atushi; Tatano, Hirokazu

doi:10.2208/journalip.27.323

Cited by 3 publications

(1 citation statement)

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“…Up to the present time, a variety of evacuation simulation models have been developed (e.g., Katada et al 2006;Kaji and Nakahara 1994;Yokoyama et al 1995;Hatayama et al 2010;Bretschneider 2013, Gai, Du andDeng 2018;Klingsch et al 2010); Naser and Kamrani 2012; Lindell et al 2018). However, none of them modeled the evacuees' psychological mechanism for their evacuation behavior.…”

Section: Literature Reviewmentioning

confidence: 99%

Regional differences in cognitive dissonance in evacuation behavior at the time of the 2011 Japan earthquake and tsunami

2021

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This paper constructs an evacuation decision-making model that takes cognitive dissonance into consideration. The purpose of this construction is to clarify the psychological mechanism for the evacuation behavior of residents during an emergency, based on Akerlof and Dickens (Akerlof and Dickens Am Econ Rev 72:307–319, 1982) "The economic consequences of cognitive dissonance". Specifically, we empirically explore people’s psychological mechanism (e.g., cognitive dissonance) for evacuation behavior when a tsunami disaster occurs. As a result, we show that the level of anxiety depends on the area where residents live and that the average anxiety of residents is mostly correlated with the level of damage of past disasters, and that it is affected also by the ages of residents. Since the level of anxiety largely affects an individual’s evacuation behavior, this result can indicate for what kinds of people intervention and assistance are required based on the level of anxiety. A high level of anxiety basically promotes evacuation. Since our results show that anxiety is increased by the experience of tsunamis, education having people virtually experience tsunamis may increase evacuation rates efficiently.

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Section: Literature Reviewmentioning

confidence: 99%