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Why they don't choose bus service? Understanding special online car-hailing behavior near bus stops

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  • Bi, Hui
  • Ye, Zhirui
  • Hu, Liyang
  • Zhu, He

Abstract

People are more likely to choose to take a bus for travel theoretically if both the origin and destination are located near bus stops. However, many of these trips are now replaced by online car-hailing service in China. This study makes the first attempt to look into this special hailing behavior by conducting a contrast analysis between hailing trip and its corresponding bus journey with the same origin and destination. We proposed an identification approach to classify the special hailing trips into four types of hailing behaviors with various hailing willingness. Structural equation modeling is then used to explore the impacts of land use characteristics, features of transport facilities and hailing ridership characteristics on the performance of special hailing behavior. Based on the results, 10.86 percent of special hailing trips have origins and destinations that are located within 100 m distance of the bus stop. Imbalance travel demand for special hailing at different periods of the day indicates the time-varying characteristic, which reaches its highest level in the afternoon. Especially through the major mobility trends of these trips, the spatial patterns of special hailing behavior can be divided into two regimes (i.e. urban and suburban areas) corresponding to the agglomeration area of varied social activities and residential areas. The generalized travel costs of bus and online car-hailing reflect the hailing willingness of travelers to some extent. People face the tradeoff between the two travel modes and tend to choose instead to use online car-hailing in different situations, and the SEM results support this. Notably, the accessibility of bus stops and users' bus travel experience show significant negative effects on special hailing behavior, and the need to transfer during a bus journey can particularly influence a traveler's initiative to take a bus. The findings provide insights into the special online car-hailing usage patterns at bus stop level and its role in urban transport, which can support accurate planning and upgrading of sustainable public transit to increase competitiveness at the big picture.

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  • Bi, Hui & Ye, Zhirui & Hu, Liyang & Zhu, He, 2021. "Why they don't choose bus service? Understanding special online car-hailing behavior near bus stops," Transport Policy, Elsevier, vol. 114(C), pages 280-297.
    • Handle: RePEc:eee:trapol:v:114:y:2021:i:c:p:280-297
    DOI: 10.1016/j.tranpol.2021.09.013
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    References listed on IDEAS

    as
    1. Kamruzzaman, Md. & Shatu, Farjana Mostafiz & Hine, Julian & Turrell, Gavin, 2015. "Commuting mode choice in transit oriented development: Disentangling the effects of competitive neighbourhoods, travel attitudes, and self-selection," Transport Policy, Elsevier, vol. 42(C), pages 187-196.
    2. Harry Foster & James Burrows, 2017. "Hypothetical bias: a new meta-analysis," Chapters, in: Daniel McFadden & Kenneth Train (ed.), Contingent Valuation of Environmental Goods, chapter 10, pages 270-291, Edward Elgar Publishing.
    3. van den Berg, Pauline & Arentze, Theo & Timmermans, Harry, 2011. "Estimating social travel demand of senior citizens in the Netherlands," Journal of Transport Geography, Elsevier, vol. 19(2), pages 323-331.
    4. Saxena, N. & Rashidi, T.H. & Dixit, V.V. & Waller, S.T., 2019. "Modelling the route choice behaviour under stop-&-go traffic for different car driver segments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 62-72.
    5. Jerrod M Penn & Wuyang Hu, 2018. "Understanding Hypothetical Bias: An Enhanced Meta-Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(4), pages 1186-1206.
    6. Ke, Jintao & Yang, Hai & Li, Xinwei & Wang, Hai & Ye, Jieping, 2020. "Pricing and equilibrium in on-demand ride-pooling markets," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 411-431.
    7. Zong, Fang & Yu, Ping & Tang, Jinjun & Sun, Xiao, 2019. "Understanding parking decisions with structural equation modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 408-417.
    8. Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2018. "Understanding the determinants of travel mode choice of residents and its carbon mitigation potential," Energy Policy, Elsevier, vol. 115(C), pages 486-493.
    9. Park, Chung & Lee, Jungpyo & Sohn, So Young, 2019. "Recommendation of feeder bus routes using neural network embedding-based optimization," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 329-341.
    10. Jonas De Vos & Patricia L. Mokhtarian & Tim Schwanen & Veronique Van Acker & Frank Witlox, 2016. "Travel mode choice and travel satisfaction: bridging the gap between decision utility and experienced utility," Transportation, Springer, vol. 43(5), pages 771-796, September.
    11. Rayle, Lisa & Dai, Danielle & Chan, Nelson & Cervero, Robert & Shaheen, Susan PhD, 2016. "Just A Better Taxi? A Survey-Based Comparison of Taxis, Transit, and Ridesourcing Services in San Francisco," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt60v8r346, Institute of Transportation Studies, UC Berkeley.
    12. Dissakoon Chonsalasin & Sajjakaj Jomnonkwao & Vatanavongs Ratanavaraha, 2020. "Key Determinants of Airline Loyalty Modeling in Thailand," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
    13. Bi, Hui & Ye, Zhirui & Zhao, Jiahui & Chen, Enhui, 2020. "Real trip costs: Modelling intangible costs of urban online car-hailing in Haikou," Transport Policy, Elsevier, vol. 96(C), pages 128-140.
    14. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    15. Sun, Daniel(Jian) & Ding, Xueqing, 2019. "Spatiotemporal evolution of ridesourcing markets under the new restriction policy: A case study in Shanghai," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 227-239.
    16. Chen, Fangxi & Yin, Zhiwei & Ye, Yingwei & Sun, Daniel(Jian), 2020. "Taxi hailing choice behavior and economic benefit analysis of emission reduction based on multi-mode travel big data," Transport Policy, Elsevier, vol. 97(C), pages 73-84.
    17. Rayle, Lisa & Dai, Danielle & Chan, Nelson & Cervero, Robert & Shaheen, Susan, 2016. "Just a better taxi? A survey-based comparison of taxis, transit, and ridesourcing services in San Francisco," Transport Policy, Elsevier, vol. 45(C), pages 168-178.
    18. Kong, Hui & Zhang, Xiaohu & Zhao, Jinhua, 2020. "How does ridesourcing substitute for public transit? A geospatial perspective in Chengdu, China," Journal of Transport Geography, Elsevier, vol. 86(C).
    19. Chen, Ching-Fu & Lai, Wen-Tai, 2011. "The effects of rational and habitual factors on mode choice behaviors in a motorcycle-dependent region: Evidence from Taiwan," Transport Policy, Elsevier, vol. 18(5), pages 711-718, September.
    20. Deka, Devajyoti & Fei, Da, 2019. "A comparison of the personal and neighborhood characteristics associated with ridesourcing, transit use, and driving with NHTS data," Journal of Transport Geography, Elsevier, vol. 76(C), pages 24-33.
    21. Liu, Yan & Wang, Siqin & Xie, Bin, 2019. "Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia," Transport Policy, Elsevier, vol. 76(C), pages 78-89.
    22. Mandhani, Jyoti & Nayak, Jogendra Kumar & Parida, Manoranjan, 2020. "Interrelationships among service quality factors of Metro Rail Transit System: An integrated Bayesian networks and PLS-SEM approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 320-336.
    23. Daniel (Jian) Sun & Lily Elefteriadou, 2014. "A Driver Behavior-Based Lane-Changing Model for Urban Arterial Streets," Transportation Science, INFORMS, vol. 48(2), pages 184-205, May.
    24. Wang, Yihong & Correia, Gonçalo Homem de Almeida & de Romph, Erik & Timmermans, H.J.P., 2017. "Using metro smart card data to model location choice of after-work activities: An application to Shanghai," Journal of Transport Geography, Elsevier, vol. 63(C), pages 40-47.
    25. Huang, Yuqiao & Gao, Linjie & Ni, Anning & Liu, Xiaoning, 2021. "Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 93(C).
    26. Veronique Acker & Frank Witlox, 2011. "Commuting trips within tours: how is commuting related to land use?," Transportation, Springer, vol. 38(3), pages 465-486, May.
    27. Habib, Khandker Nurul, 2019. "Mode choice modelling for hailable rides: An investigation of the competition of Uber with other modes by using an integrated non-compensatory choice model with probabilistic choice set formation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 205-216.
    28. Wei, Sheng & Zheng, Wei & Wang, Lei, 2021. "Understanding the configuration of bus networks in urban China from the perspective of network types and administrative division effect," Transport Policy, Elsevier, vol. 104(C), pages 1-17.
    29. Hélène Bouscasse & Iragaël Joly & Patrick Bonnel, 2018. "How does environmental concern influence mode choice habits? A mediation analysis," Post-Print hal-01868333, HAL.
    30. Nguyen-Phuoc, Duy Q. & Phuong Tran, Anh Thi & Nguyen, Tiep Van & Le, Phuong Thi & Su, Diep Ngoc, 2021. "Investigating the complexity of perceived service quality and perceived safety and security in building loyalty among bus passengers in Vietnam – A PLS-SEM approach," Transport Policy, Elsevier, vol. 101(C), pages 162-173.
    31. Tiglao, Noriel Christopher C. & De Veyra, Janna M. & Tolentino, Niki Jon Y. & Tacderas, Mark Angelo Y., 2020. "The perception of service quality among paratransit users in Metro Manila using structural equations modelling (SEM) approach," Research in Transportation Economics, Elsevier, vol. 83(C).
    32. De Vos, Jonas & Ettema, Dick & Witlox, Frank, 2018. "Changing travel behaviour and attitudes following a residential relocation," Journal of Transport Geography, Elsevier, vol. 73(C), pages 131-147.
    33. Ghadiri, Mehdi & Rassafi, Amir Abbas & Mirbaha, Babak, 2019. "The effects of traffic zoning with regular geometric shapes on the precision of trip production models," Journal of Transport Geography, Elsevier, vol. 78(C), pages 150-159.
    34. Penn, Jerrod & Hu, Wuyang, 2019. "Cheap talk efficacy under potential and actual Hypothetical Bias: A meta-analysis," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 22-35.
    35. Zgheib, Najib & Abou-Zeid, Maya & Kaysi, Isam, 2020. "Modeling demand for ridesourcing as feeder for high capacity mass transit systems with an application to the planned Beirut BRT," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 70-91.
    36. Kattreeya Chanpariyavatevong & Warit Wipulanusat & Thanapong Champahom & Sajjakaj Jomnonkwao & Dissakoon Chonsalasin & Vatanavongs Ratanavaraha, 2021. "Predicting Airline Customer Loyalty by Integrating Structural Equation Modeling and Bayesian Networks," Sustainability, MDPI, vol. 13(13), pages 1-21, June.
    37. Bwambale, Andrew & Choudhury, Charisma F. & Hess, Stephane, 2019. "Modelling departure time choice using mobile phone data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 424-439.
    38. Jie Bao & Chengcheng Xu & Pan Liu & Wei Wang, 2017. "Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests," Networks and Spatial Economics, Springer, vol. 17(4), pages 1231-1253, December.
    Full references (including those not matched with items on IDEAS)

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    2. Jin, Hui & Liu, Yue & Wu, Telan & Zhang, Yanpei, 2022. "Site-specific optimization of bus stop locations and designs over a corridor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
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