A Simulation Model of Escapable and Non-Escapable Areas from Which Pregnant Women Can Reach Tsunami Evacuation Buildings: The Case in 110 Elementary School Districts in Nagoya City, Aichi, Japan

Author:

Miyagawa Shoko,Hattori Ritsuko,Hattori Kanetoshi

Abstract

Abstract Objective: The objective of this study was to establish a method for evaluating the possibility of pregnant women evacuating to tsunami evacuation buildings in coastal areas affected by tsunami. Methods: We used data published by the Japanese government and a general-purpose geographic information system to develop a simulation method for evaluating the possibility of evacuation. The data included the number of pregnant women in each elementary school district, tsunami inundation forecast maps, location information of tsunami evacuation buildings, and the number of ordinary buildings. We used our method to conduct a tsunami evacuation possibility simulation for pregnant women in each elementary school district in 7 wards of Nagoya, Japan. Results: Dense population areas at low elevations are high-risk areas from which many pregnant women may not be able to evacuate. Districts with evenly distributed tsunami evacuation buildings tend to have a lower risk. Conclusions: The proposed simulation method was able to determine the risk in elementary school districts in densely populated low-lying areas. However, it is suggested that the risk tends to be estimated higher in school districts where there are differences in elevation and the building distribution is not uniform.

Publisher

Cambridge University Press (CUP)

Subject

Public Health, Environmental and Occupational Health

Reference21 articles.

1. Tsunami evacuation simulation for the District of Tofino, Vancouver Island, Canada

2. 13. Ministry of Internal Affairs and Communication. Population by age groups of cities, wards, towns and villages. Survey of population, population dynamics, and number of households based on basic resident registry. Accessed December 20, 2020. https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00200241&tstat=000001039591&cycle=7&year=20170&month=0&tclass1=000001039601&result_back=1

3. 14. QGIS Project. QGIS 3.12 Bucuresti. Accessed January 2, 2020. https://www.qgis.org/ja/site/forusers/download.html

4. Differences in trunk control between early and late pregnancy during gait

5. 10. Aichi Prefectural Disaster Prevention Conference. Results of damage prediction survey of Aichi Prefecture TohkAai Earthquake, Tohnankai Earthquake, Nankai Earthquake, etc. Accessed May 5, 2020. In Japanese. https://www.pref.aichi.jp/bousai/2014higaiyosoku/whitebooknew2.pdf

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