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  1. 工学部
  1. 工学部
  2. 学術雑誌掲載論文 (工学部)

Path-Based Multi-Passenger Ridesharing User Equilibrium Model for a Large Network

http://hdl.handle.net/10458/0002002075
http://hdl.handle.net/10458/0002002075
457404df-2b88-43a8-b4fe-69f1ca80bd76
名前 / ファイル ライセンス アクション
PaperFormatModel_RS_final2.pdf Manuscript (1.2 MB)
アイテムタイプ 学術雑誌論文 / Journal Article(1)
公開日 2025-12-23
タイトル
タイトル Path-Based Multi-Passenger Ridesharing User Equilibrium Model for a Large Network
言語 en
言語
言語 eng
キーワード
言語 en
キーワード equilibrium
キーワード
言語 en
キーワード mathematical modeling
キーワード
言語 en
キーワード network assignment
キーワード
言語 en
キーワード planning and analysis
キーワード
言語 en
キーワード public transportation
キーワード
言語 en
キーワード transportation network modeling
資源タイプ
資源タイプ journal article
アクセス権
アクセス権 open access
著者 嶋本, 寛

× 嶋本, 寛

WEKO 25643
e-Rad_Researcher 90464304

ja 嶋本, 寛
宮崎大学

ja-Kana シマモト, ヒロシ

en Shimamoto, Hiroshi
University of Miyazaki

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抄録
内容記述タイプ Abstract
内容記述 Ridesharing has the potential to enable more efficient use of private vehicles and, therefore, to solve various transportation-related problems, such as traffic congestion and environmental pollution. Furthermore, the implementation of ridesharing will make private cars more convenient, which may cause a modal shift from public transportation to automobiles. Here, we introduce a logit-based stochastic ridesharing user equilibrium (RUE) model that can be solved even for a larger-sized network. In the proposed model, travelers have three options: as a rideshare driver (RD), who travels in their own vehicle to their destination while allowing for shared seating; a rider (R) who rides with an RD; and a public transportation user (PT), who takes public transportation to their destinations. The proposed model explicitly considers the en-route transfer-free condition of riders by generating a set of paths from a path of the RD. With some simplifying assumptions, the proposed model is formulated as the Beckmann transformation in the mathematical problem formulation, in which a unique solution is guaranteed. The solution algorithm that combines the column generation approach and the Lagrangian relaxation method was adopted. The proposed model was then applied to the Sioux Falls network to confirm the convergence process and model outputs, as well as to perform a parameter sensitivity analysis. Finally, to confirm the convergence process and model outputs, the proposed model was applied to the Anaheim network, as an example of a network of larger size than those represented by other models.
言語 en
書誌情報 en : Transportation Research Record

巻 2679, 号 11, p. 987-1002, 発行日 2025-09-08
出版者
出版者 SAGE Publications
言語 en
ISSN
収録物識別子タイプ EISSN
収録物識別子 21694052
ISSN
収録物識別子タイプ ISSN
収録物識別子 03611981
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1177/03611981251351872
権利
権利情報 © The Author(s) 2025.
言語 en
著者版フラグ
出版タイプ VoR
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