Miyagawa Shoko, Hattori Ritsuko, Hattori Kanetoshi
Faculty of Nursing and Medical Care, Keio University, Fujisawa-shi, Kanagawa, Japan.
Faculty of Health Science, Nara Gakuen University, Nara-shi, Nara, Japan.
Disaster Med Public Health Prep. 2022 Sep 6;17:e218. doi: 10.1017/dmp.2022.189.
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.
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.
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.
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.
本研究的目的是建立一种方法，用于评估孕妇向受海啸影响的沿海地区的海啸避难建筑疏散的可能性。
我们使用日本政府公布的数据和通用地理信息系统来开发一种评估疏散可能性的模拟方法。数据包括每个小学学区的孕妇数量、海啸淹没预测图、海啸避难建筑的位置信息以及普通建筑的数量。我们使用我们的方法对日本名古屋7个区的每个小学学区的孕妇进行了海啸疏散可能性模拟。
低海拔的人口密集地区是高风险区域，许多孕妇可能无法从这些地区疏散。海啸避难建筑分布均匀的地区风险往往较低。
所提出的模拟方法能够确定人口密集的低洼地区小学学区的风险。然而，建议在海拔有差异且建筑分布不均匀的学区，风险往往会被高估。
