• ISSN 0258-2724
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Volume 30 Issue 3
Jun.  2017
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Journal of Southwest Jiaotong University  > 2017  >  30(3): 639-645.
LI Yong-Le, XU Yao-Lin, CHEN Ji-Min, CHEN Bo. Rain-Wind-Induced Vibration of Cables in Cable-Stayed Bridges (Ⅰ): Mechanism Analysis[J]. Journal of Southwest Jiaotong University, 2011, 24(4): 529-535. doi: 10.3969/j.issn.0258-2724.2011.04.001
Citation: YAO Enjian, JIN Fanglei, HU Qianwen, ZHANG Yongsheng, YANG Yang. Analysis of Route Choice Behavior of Urban Rail Passengers Considering Transfer Thresholds[J]. Journal of Southwest Jiaotong University, 2017, 30(3): 639-645. doi: 10.3969/j.issn.0258-2724.2017.03.028
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Analysis of Route Choice Behavior of Urban Rail Passengers Considering Transfer Thresholds

doi: 10.3969/j.issn.0258-2724.2017.03.028
  • Received Date: 09 Jul 2015
  • Publish Date: 25 Jun 2017
    Abstract
  • In order to investigate the route choice behavior differences of commuters and non-commuters due to different time constraints, the disaggregate theory is employed to construct a route choice model. First, the concept of transfer threshold is proposed, which attempts to analyze the difference of penalty on perception utility of passengers under various conditions of transfers. Then, on the basis of the alternative route set generated from the transit network data of Guangzhou metro, the transfer thresholds are estimated using the revealed preference data of passengers. Finally, based on the estimation results from the proposed path-sized logit (PSL) model, passengers route choice preferences are analyzed. The results show that the parameter values of transfer time with a high number of transfers are 1.114 5 and 1.037 9 times that with a low number of transfers for commuters and non-commuters, respectively, indicating that commuters are more sensitive to transfer time with a high number of transfers.

     

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  • 张永生,姚恩建,代洪娜. 成网条件下地铁换乘量预测方法研究[J]. 铁道学报,2013,35(11): 1-6. ZHANG Yongsheng, YAO Enjian, DAI Hongna. Transfer volume forecasting method for the metro in networking conditions[J]. Journal of the China Railway Society, 2013, 35(11): 1-6.
    BOVY P H L, HOOGENDOORN L S. Modelling route choice behaviour in multi-modal transport networks[J]. Transportation, 2005, 32(4): 341-368.
    HOCHMAIR H. The influence of map design on route choice from public transportation maps in urban areas[J]. The Cartographic Journal, 2009, 46(3): 242-256.
    RAVEAU S, GUO Z, MUOZ J C, et al. A behavioural comparison of route choice on metro networks: Time, transfers, crowding, topology and socio-demographics[J]. Transportation Research Part A: Policy and Practice, 2014, 66(1): 185-195.
    LEURENT F. On seat congestion, passenger comfort and route choice in urban transit: a network equilibrium assignment model with application to Paris[C]//Annual Meeting of the Transportation Research Board Session Transit Capacity and Quality of Service. Washington D C:[s.n.], 2009:1-17.
    TIRACHINI A, HENSHER D A, ROSE J M. Crowding in public transport systems: Effects on users, operation and implications for the estimation of demand[J]. Transportation Research Part A Policy and Practice, 2013, 53(53): 36-52.
    KHATTAK A J, YIM Y, STALKER L. Does travel information influence commuter and noncommuter behavior?: results from the San Francisco Bay Area TravInfo Project[J]. Transportation Research Record: Journal of the Transportation Research Board 1999, 1694(1): 48-58.
    LI H, GUENSLER R, OGLE J. Analysis of morning commute route choice patterns using global positioning system-based vehicle activity data[J]. Transportation Research Record Journal of the Transportation Research Board, 2005, 1926(1): 162-170.
    李小静,刘林忠. 基于累积前景理论的通勤者路径选择模型[J]. 交通运输系统工程与信息,2015,15(1): 173-178. LI Xiaojing, LIU Linzhong. Route choice model for commuters based on cumulative prospect theory[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(1): 173-178.
    夏金娇,隽志才,高晶鑫. 基于前景理论的出行路径选择行为[J]. 公路交通科技,2012,29(4): 126-131. XIA Jinjiao, JUAN Zhicai, GAO Jingxin. Travel routing behaviors based on prospect theory[J]. Journal of Highway and Transportation Research and Development, 2012, 29(4): 126-131.
    解晓灵,张星臣,陈军华,等. 城市轨道交通乘车路径随机效用模型[J]. 交通运输系统工程与信息,2014,14(2): 127-131. XIE Xiaoling, ZHANG Xingchen, CHEN Junhua, et al. The discrete choice model of urban rail transit passengers' route choice[J]. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(2): 127-131.
    SUN Y, XU R. Rail transit travel time reliability and estimation of passenger route choice behavior: analysis using automatic fare collection data[J]. Transportation Research Record Journal of the Transportation Research Board, 2012, 2275(1): 58-67.
    PRASHKER J N, BEKHOR S. Route choice models used in the stochastic user equilibrium problem: a review[J]. Transport Reviews, 2004, 24(4): 437-463.
    CANTILLO V, ORTZAR J D D. A semi-compensatory discrete choice model with explicit attribute thresholds of perception[J]. Transportation Research Part B: Methodological, 2005, 39(7): 641-657.
    RAVEAU S, MUOZ J C, GRANGE L D. A topological route choice model for metro[J]. Transportation Research Part A Policy and Practice, 2011, 45(2): 138-147.
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