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ファイル | 記述 | サイズ | フォーマット | |
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j.trpro.2022.02.079.pdf | 1.15 MB | Adobe PDF | 見る/開く |
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 ![]() ![]() ![]() |
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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