@article{oai:muroran-it.repo.nii.ac.jp:02000101,
 author = {GOTO, Kaisyu and 後藤, 海周 and OKUMURA, Kota and 奥村, 航太 and ASADA, Takumi and 浅田, 拓海 and ARIMURA, Mikiharu and 有村, 幹治},
 issue = {5},
 journal = {Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management), 土木学会論文集D3（土木計画学）},
 month = {},
 note = {2019 年 2 月 21 日に北海道胆振地方中東部地震の最大余震が発災した際，札幌市都心部においては公共交通の復旧を待つ人々が溢れ返った．積雪寒冷地においては冬期の発災シナリオを含めて発災タイミングの違いを考慮した帰宅困難者数の推定が緊急時の避難体制を構築するうえで必要不可欠である．従来，帰宅困難者数の推計に関しては，国勢調査とパーソントリップ調査を用いた事例が多く報告されている．しかし，各時間や遠方からの滞在人口を考慮し，各メッシュ単位における帰宅手段や活動目的別の分析はみられなかった．そこで本研究では，札幌市において PT 調査，携帯電話位置情報データ（モバイル空間統計）および各避難所や面積を用いて帰宅困難者数の推計を行い，帰宅困難者数の空間分布を可視化した．, When aftershock of the Hokkaido Eastern Iburi earthquake struck on February 21, 2019, there were a flood of people waiting for the restoration of public transportation in central Sapporo, including Sapporo Station. Estimating the number of people who have difficulty returning home, including the disaster scenario in winter, considering the difference in the timing of the disaster is indispensable for building an emergency evacuation system. Many existing studies on the estimation of the number of people who have difficulty returning home have been reported using the national census and the person trip survey (hereinafter referred to as the PT survey). However, considering the population staying at each time and from a distance, no analysis was found for each mesh unit by means of returning home or activity purpose. Therefore, in this study, we estimated the number of people who have difficulty returning home and visualized the spatial distribution of the number of people who have difficulty returning home. By using PT surveys, mobile phone location information data (mobile spatial statistics), and each evacuation center and area in Sapporo City.},
 pages = {I_173--I_180},
 title = {ESTIMATION OF THE HOURLY NUMBER OF PEOPLE WHO HAVE DIFFICULTY RETURNING HOME IN THE HOKKAIDO EASTERN IBURI EARTHQUAKE BY POPULATION DISTRIBUTION STATISTICS},
 volume = {77},
 year = {2022},
 yomi = {アサダ, タクミ}
}