Exploring the correlation between ride-hailing and multimodal transit ridership in toronto

被引:15
|
作者
Li, Wenting [1 ]
Shalaby, Amer [1 ]
Habib, Khandker Nurul [1 ]
机构
[1] Univ Toronto, Dept Civil & Mineral Engn, 35 St George St, Toronto, ON M5S 1A4, Canada
关键词
Ride-hailing; Public transit; Ridership; Temporal analysis; Level of service; DETERMINANTS; SERVICES; UBER;
D O I
10.1007/s11116-021-10193-5
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Ride-hailing (RH) services have been growing rapidly and gaining popularity worldwide. However, many transit agencies are experiencing ridership stagnation or even decline. Understanding the correlation between RH trips and transit ridership has become an urgently important matter for transit agencies. This study aimed to explore the relationship between RH and public transit ridership and provide a starting point for future studies. This study benefitted from having access to detailed data on trip-level RH trips, transit supply and transit ridership in Toronto for three years (2016-2018). With this dataset, the study utilized random-effects panel data models and log-log regression models to estimate the correlation of RH pickup/drop-off counts with subway station and surface transit route (buses and streetcars) ridership within transit catchment areas, broken down into five different periods of a non-summer weekday. The results show that RH services generally have a positive association with subway station ridership while negatively correlating with surface transit route ridership. The positive relationship between RH and subway station ridership is the strongest during the mid-day and early evening. In contrast, the negative relationship between surface transit routes and RH ridership is the highest during peak commuting hours. Additionally, RH trip volume is more positively related to ridership at terminal/transfer subway stations in Toronto's city centre while more negatively associated with routes with relatively poor services (e.g., low on-time performance, low vehicle running speed and low frequency) in the city centre where traffic congestion can be severe. According to the above findings, the degree of the relationship between RH and public transit demand tends to be mixed, varying by transit mode, time of day and transit level-of-service. The gained knowledge about RH and transit can provide insights for transit agencies to improve transit services, which are discussed in this paper.
引用
收藏
页码:765 / 789
页数:25
相关论文
共 50 条
  • [31] Exploring the Impact of Spatiotemporal Granularity on the Demand Prediction of Dynamic Ride-Hailing
    Liu, Kai
    Chen, Zhiju
    Yamamoto, Toshiyuki
    Tuo, Liheng
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (01) : 104 - 114
  • [32] Traditional taxi, e-hailing or ride-hailing? A GSEM approach to exploring service adoption patterns
    Vega-Gonzalo, Maria
    Aguilera-Garcia, Alvaro
    Gomez, Juan
    Vassallo, Jose Manuel
    [J]. TRANSPORTATION, 2024, 51 (04) : 1239 - 1278
  • [33] Exploring the impact of rider-driver ethnicity match/mismatch in ride-hailing
    Idug, Yavuz
    Gligor, David
    Porchia, Jamie
    Niranjan, Suman
    Manuj, Ila
    Nowicki, David R.
    [J]. INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT, 2024, 54 (03) : 301 - 329
  • [34] Exploring the Equity of Traditional and Ride-Hailing Taxi Services during Peak Hours
    Pan, Renbin
    Yang, Hongtai
    Xie, Kun
    Wen, Yi
    [J]. TRANSPORTATION RESEARCH RECORD, 2020, 2674 (09) : 266 - 278
  • [35] Who uses ride-hailing? Policy implications and evidence from the Greater Toronto and Hamilton Area
    Shi, Hong Yun
    Sweet, Matthias N.
    [J]. CANADIAN GEOGRAPHER-GEOGRAPHE CANADIEN, 2021, 65 (02): : 197 - 214
  • [36] Beyond binary relationship: Multivariant analysis between ride-hailing and public transit based on multi-sourcing data
    Cui, Liangbin
    Deng, Yajuan
    Bai, Yu
    Peng, Qinxin
    [J]. TRAVEL BEHAVIOUR AND SOCIETY, 2025, 38
  • [37] Ride-Hailing Preferences for First- and Last-Mile Connectivity at Intercity Transit Hubs
    Widiastuti, Nur Oktaviani
    Irawan, Muhammad Zudhy
    [J]. SUSTAINABILITY, 2024, 16 (07)
  • [38] The formation of passenger loyalty: Differences between ride-hailing and traditional taxi services
    Nguyen-Phuoc, Duy Q.
    Phuong Thi Kim Tran
    Diep Ngoc Su
    Oviedo-Trespalacios, Oscar
    Johnson, Lester W.
    [J]. TRAVEL BEHAVIOUR AND SOCIETY, 2021, 24 : 218 - 230
  • [39] The impact of shared mobility on metro ridership: The non-linear effects of bike-sharing and ride-hailing services
    Gao, Fan
    He, Sylvia Y.
    Han, Chunyang
    Liang, Jian
    [J]. TRAVEL BEHAVIOUR AND SOCIETY, 2024, 37
  • [40] Evolutionary Game between Government and Ride-Hailing Platform: Evidence from China
    Sun, Qipeng
    He, Yuqi
    Wang, Yongjie
    Ma, Fei
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2019, 2019