Developing a Model for Estimating the Home Return of Evacuees Based on the 2011 Tohoku Earthquake Tsunami—Utilizing Mobile Phone GPS Big Data

Yoshiki Ogawa (), Taisei Sato, Yuki Akiyama, Ryosuke Shibasaki and Yoshihide Sekimoto
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Yoshiki Ogawa: The University of Tokyo
Taisei Sato: The University of Tokyo
Yuki Akiyama: The University of Tokyo
Ryosuke Shibasaki: The University of Tokyo
Yoshihide Sekimoto: The University of Tokyo

A chapter in Advances and New Trends in Environmental Informatics, 2018, pp 227-240 from Springer

Abstract: Abstract When considering evacuation center plans for earthquake disasters, it is necessary to know how many people will evacuate in each stage after the disaster over the long term. In this paper, by using mobile phone GPS data and tsunami survey data for the 2011 Tohoku Earthquake Tsunami disaster, we developed a home-return model. The model can estimate the rate of people who will have returned home any number of days after an earthquake disaster. As a result, we obtained high the root-mean-square error (RMSE) accuracy of the model. The study leads to a new understanding of the quantitative relationship between people returning home after evacuation and local vulnerability and tsunami hazards.

Keywords: People flow; Restoration; Building collapse; Tsunami inundation depth; Water supply (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-99654-7_15

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DOI: 10.1007/978-3-319-99654-7_15

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