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タイトル: Simulation of tourists' wayfinding during evacuation based on experiments in Kyoto
著者: Sabashi, Koichi
Ben-Moshe, Boaz
Schmöcker, J.-D.
Hadas, Yuval
Nakao, Satoshi  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-1359-4747 (unconfirmed)
著者名の別形: 佐橋, 功一
中尾, 聡史
キーワード: Tourists’ evacuation planning
Wayfinding
Virtual Reality
Evacuation simulation
発行日: 2022
出版者: Elsevier BV
誌名: Transportation Research Procedia
巻: 62
開始ページ: 640
終了ページ: 647
抄録: Tourists are often more vulnerable than residents in sudden disaster situations due to lack of knowledge regarding evacuation routes and safe areas. To establish protocols and the schemes for tourist evacuation to safe areas, it is necessary to gather their likely behavior during an evacuation. Since there are few actual data available we conducted a VR (Virtual Reality) experiment assuming a sudden disaster situation and estimated tourists’ route choice based on the experiment. In the experiment pictures of intersection in the touristic Higashiyama area of Kyoto, Japan, where shown to participants and they could choose the direction they want to proceed until reaching an open space or designated shelter. As a result, we could quantify the impact of road width and, to some degree, network structure. The results reveal the tendency to select wide roads and to proceed straight. If the participants were put under time pressure these tendencies are intensified. Utilizing these results we constructed an evacuation simulation. We estimated the distribution and amount of tourists using data obtained from a mobile phone service provider. We conducted the simulation using VisWalk with various guidance situations and compared those results. The results illustrate potential capacity bottlenecks of designated shelter locations and the importance to provide route guidance and certain points in the network.
記述: 24th EURO Working Group on Transportation Meeting, EWGT 2021, 8-10 September 2021, Aveiro, Portugal
著作権等: © 2022 The Author(s). Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license.
URI: http://hdl.handle.net/2433/279206
DOI(出版社版): 10.1016/j.trpro.2022.02.079
出現コレクション:学術雑誌掲載論文等

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