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J-GLOBAL ID：201902283367869358   Reference number：19A2681886

An Analysis of Factors Influencing Disaster Mobility Using Location Data from Smartphones: Case Study of Western Japan Flooding

スマートフォンからの位置データを用いた災害の移動性に影響する要因の分析:西日本洪水の事例研究

Author (4)： Joo Soohyun (Department of Civil Engineering, The University of Tokyo) ,  Kashiyama Takehiro (Institute of Industrial Science, The University of Tokyo) ,  Sekimoto Yoshihide (Institute of Industrial Science, The University of Tokyo) ,  Seto Toshikazu (Institute of Industrial Science, The University of Tokyo)
Material： Journal of Disaster Research  (J Disaster Res)
Volume： 14  Issue： 6  Page： 903-911(J-STAGE)  Publication year： 2019 
JST Material Number： F1399A  ISSN： 1881-2473  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *smartphone ,  *location information ,  flood damage ,  property ,  Hiroshima prefecture ,  *refuge ,  bias ,  *agnosia ,  alarm system ,  information
Semi thesaurus term： risk information ,  ambulatory ,  flooding disaster ,  *cognitive disability

Author keywords (3)： Western Japan flooding ,  GPS data ,  multinomial logistic regression

JST classification (1)： Natural disasters  (RA02030M)

Reference (27)：

• [1] “I am OK with myself...Lag behind evacuation behavior ‘Normality bias’,” The Sankei News, 2018.7.20, https://www.sankei.com/west/news/180719/wst1807190107-n1.html (in Japanese) [accessed February 28, 2019]
• [2] Kyodo, “At least 176 die in west Japan from heavy rain, flooding,” Top News, 2018.7.20, https://alpha.japantimes.co.jp/article/top_news/201807/1429/ (in Japanese) [accessed February 19, 2019]
• [3] M. C. Gonzáles, C. A. Hidalgo, and A. L. Barabási, “Understanding individual human mobility patterns,” Nature, Vol.453, pp. 779-782, 2008.
• [4] A. Sevtsuk and C. Ratti, “Does urban mobility have a daily routine? Learning from the aggregate data of mobile networks,” J. of Urban Technology, Vo.17, Issue 1, pp. 41-60, 2010.
• [5] D. Ashbrook and T. Starner, “Using GPS to learn significant locations and predict movement across multiple users,” Personal and Ubiquitous Computing, Vol.7, Issue 5, pp. 275-286, 2003.

Terms in the title (8)： スマートフォン ,  位置データ ,  災害 ,  要因 ,  分析 ,  西日本 ,  洪水 ,  研究