IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v176y2023ics0965856423002392.html
   My bibliography  Save this article

Understanding the influencing factors of taxi ride-sharing: A case study of Chengdu, China

Author

Listed:
  • Dong, Xianlei
  • Wang, Ying
  • Li, Xufeng
  • Zhong, Zhenfang
  • Shen, Xinyi
  • Sun, Huijun
  • Hu, Beibei

Abstract

The emergence and development of taxi ride-sharing can improve the efficiency of urban transportation systems and reduce carbon dioxide emissions in cities. Using GPS tracking data from taxis in Chengdu, China, we firstly provide a method for judging the conditions under which taxi rides are shareable, and then analyse the potential demand for taxi ride-sharing from both time and space perspectives. We develop a variable selection model to evaluate the key influencing factors for taxi ride-sharing. The results show there is a large potential taxi ride-sharing market in Chengdu, and the development of shared transportation is dependent on certain practical conditions. Both orders for taxis and those for taxi ride-sharing are concentrated in central city zones. It is verified that the number of taxi orders is positively correlated to the potential demand for taxi ride-sharing. It is also learnt that factors including population density, average traffic speed and regional GDP are negatively correlated to the demand for taxi ride-sharing. Factors such as traffic facilities, bus stops and life services have positive effects. In terms of the first-grade indices, weather and climatic conditions, traffic infrastructure construction and some land-use functions have a positive effect on the demand, while population and regional economic conditions and other environmental features have negative effects. In fact, only the indicators of population density, GDP, average traffic speed and the number of traffic facilities and bus stops have great effects on the demand for taxi ride-sharing. The other 29 factors in our indicator system play a much less important role. This quantitative model finds the key influencing factors and can help us to understand the dynamics driving residents’ demand for taxi ride-sharing. It may assist the relevant government departments to optimize taxi resources and promote the sustainable development of taxi ride-sharing.

Suggested Citation

  • Dong, Xianlei & Wang, Ying & Li, Xufeng & Zhong, Zhenfang & Shen, Xinyi & Sun, Huijun & Hu, Beibei, 2023. "Understanding the influencing factors of taxi ride-sharing: A case study of Chengdu, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    • Handle: RePEc:eee:transa:v:176:y:2023:i:c:s0965856423002392
    DOI: 10.1016/j.tra.2023.103819
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856423002392
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2023.103819?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anil Yazici, M. & Kamga, Camille & Singhal, Abhishek, 2016. "Modeling taxi drivers’ decisions for improving airport ground access: John F. Kennedy airport case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 48-60.
    2. Catherine Morency, 2007. "The ambivalence of ridesharing," Transportation, Springer, vol. 34(2), pages 239-253, March.
    3. Gurumurthy, Krishna Murthy & Kockelman, Kara M., 2022. "Dynamic ride-sharing impacts of greater trip demand and aggregation at stops in shared autonomous vehicle systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 114-125.
    4. Yu, Biying & Ma, Ye & Xue, Meimei & Tang, Baojun & Wang, Bin & Yan, Jinyue & Wei, Yi-Ming, 2017. "Environmental benefits from ridesharing: A case of Beijing," Applied Energy, Elsevier, vol. 191(C), pages 141-152.
    5. Clewlow, Regina R. & Mishra, Gouri S., 2017. "Disruptive Transportation: The Adoption, Utilization, and Impacts of Ride-Hailing in the United States," Institute of Transportation Studies, Working Paper Series qt82w2z91j, Institute of Transportation Studies, UC Davis.
    6. Kim, Kyeongsu, 2015. "Can carsharing meet the mobility needs for the low-income neighborhoods? Lessons from carsharing usage patterns in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 249-260.
    7. Hyland, Michael & Mahmassani, Hani S., 2020. "Operational benefits and challenges of shared-ride automated mobility-on-demand services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 251-270.
    8. Yu, Haitao & Peng, Zhong-Ren, 2019. "Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression," Journal of Transport Geography, Elsevier, vol. 75(C), pages 147-163.
    9. Peng, Zixuan & Shan, Wenxuan & Zhu, Xiaoning & Yu, Bin, 2022. "Many-to-one stable matching for taxi-sharing service with selfish players," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 255-279.
    10. Rick Grahn & Corey D. Harper & Chris Hendrickson & Zhen Qian & H. Scott Matthews, 2020. "Socioeconomic and usage characteristics of transportation network company (TNC) riders," Transportation, Springer, vol. 47(6), pages 3047-3067, December.
    11. Loa, Patrick & Hossain, Sanjana & Liu, Yicong & Nurul Habib, Khandker, 2022. "How has the COVID-19 pandemic affected the use of ride-sourcing services? An empirical evidence-based investigation for the Greater Toronto Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 46-62.
    12. Correia, Gonçalo & Viegas, José Manuel, 2011. "Carpooling and carpool clubs: Clarifying concepts and assessing value enhancement possibilities through a Stated Preference web survey in Lisbon, Portugal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 81-90, February.
    13. Cui, JianXun & Liu, Feng & Janssens, Davy & An, Shi & Wets, Geert & Cools, Mario, 2016. "Detecting urban road network accessibility problems using taxi GPS data," Journal of Transport Geography, Elsevier, vol. 51(C), pages 147-157.
    14. Prieto, Marc & Baltas, George & Stan, Valentina, 2017. "Car sharing adoption intention in urban areas: What are the key sociodemographic drivers?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 218-227.
    15. Stiglic, Mitja & Agatz, Niels & Savelsbergh, Martin & Gradisar, Mirko, 2015. "The benefits of meeting points in ride-sharing systems," Transportation Research Part B: Methodological, Elsevier, vol. 82(C), pages 36-53.
    16. Shixiong Jiang & Wei Guan & Zhengbing He & Liu Yang, 2018. "Measuring Taxi Accessibility Using Grid-Based Method with Trajectory Data," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    17. Loa, Patrick & Nurul Habib, Khandker, 2021. "Examining the influence of attitudinal factors on the use of ride-hailing services in Toronto," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 13-28.
    18. 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.
    19. Ron Buliung & Kalina Soltys & Randy Bui & Catherine Habel & Ryan Lanyon, 2010. "Catching a ride on the information super-highway: toward an understanding of internet-based carpool formation and use," Transportation, Springer, vol. 37(6), pages 849-873, November.
    20. Shaheen, Susan PhD & Chan, Nelson & Gaynor, Theresa, 2016. "Casual Carpooling in the San Francisco Bay Area: Understanding User Characteristics, Behaviors, and Motivations," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4dh2h0rf, Institute of Transportation Studies, UC Berkeley.
    21. Anable, Jillian & Gatersleben, Birgitta, 2005. "All work and no play? The role of instrumental and affective factors in work and leisure journeys by different travel modes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 163-181.
    22. Stiglic, M. & Agatz, N.A.H. & Savelsbergh, M.W.P. & Gradisar, M., 2015. "The Benefits of Meeting Points in Ride-sharing Systems," ERIM Report Series Research in Management ERS-2015-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    23. VANOUTRIVE, Thomas & VAN CDE VIJVER, Elien & VAN MALDEREN, Lautrent & JOURQUIN, Bart, 2012. "What determines carpooling to workplaces in Belgium: location, organisation, or promotion?," LIDAM Reprints CORE 2418, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    24. Misra, Aditi & Shirgaokar, Manish & Weinstein Agrawal, Asha & Dobbs, Bonnie & Wachs, Martin, 2022. "How older adults use Ride-hailing booking technology in California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 11-30.
    25. Hu, Beibei & Zhong, Zhenfang & Zhang, Yanli & Sun, Yue & Jiang, Li & Dong, Xianlei & Sun, Huijun, 2022. "Understanding the influencing factors of bicycle-sharing demand based on residents’ trips," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    26. Páez, Antonio & Scott, Darren M. & Morency, Catherine, 2012. "Measuring accessibility: positive and normative implementations of various accessibility indicators," Journal of Transport Geography, Elsevier, vol. 25(C), pages 141-153.
    27. Wang, Yaoli & Kutadinata, Ronny & Winter, Stephan, 2019. "The evolutionary interaction between taxi-sharing behaviours and social networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 170-180.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Neoh, Jun Guan & Chipulu, Maxwell & Marshall, Alasdair & Tewkesbury, Adam, 2018. "How commuters’ motivations to drive relate to propensity to carpool: Evidence from the United Kingdom and the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 128-148.
    2. Liu, Xiaobing & Yan, Xuedong & Liu, Feng & Wang, Rui & Leng, Yan, 2019. "A trip-specific model for fuel saving estimation and subsidy policy making of carpooling based on empirical data," Applied Energy, Elsevier, vol. 240(C), pages 295-311.
    3. Julie Bulteau & Thierry Feuillet & Sophie Dantan & Souhir Abbes, 2023. "Encouraging carpooling for commuting in the Paris area (France): which incentives and for whom?," Transportation, Springer, vol. 50(1), pages 43-62, February.
    4. Amirmahdi Tafreshian & Neda Masoud & Yafeng Yin, 2020. "Frontiers in Service Science: Ride Matching for Peer-to-Peer Ride Sharing: A Review and Future Directions," Service Science, INFORMS, vol. 12(2-3), pages 44-60, June.
    5. Gheorghiu, Alexandra & Delhomme, Patricia, 2018. "For which types of trips do French drivers carpool? Motivations underlying carpooling for different types of trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 460-475.
    6. Mourad, Abood & Puchinger, Jakob & Chu, Chengbin, 2019. "A survey of models and algorithms for optimizing shared mobility," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 323-346.
    7. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    8. Xiaolei Wang & Hai Yang & Daoli Zhu, 2018. "Driver-Rider Cost-Sharing Strategies and Equilibria in a Ridesharing Program," Transportation Science, INFORMS, vol. 52(4), pages 868-881, August.
    9. Collins, Mor & Etzioni, Shelly & Ben-Elia, Eran, 2024. "Travel behavior and system dynamics in a simple gamified automated multimodal network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    10. Meng Li & Guowei Hua & Haijun Huang, 2018. "A Multi-Modal Route Choice Model with Ridesharing and Public Transit," Sustainability, MDPI, vol. 10(11), pages 1-14, November.
    11. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    12. Zhang, Wenqing & Liu, Liangliang, 2022. "Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 180-195.
    13. Helai Huang & Jialing Wu & Fang Liu & Yiwei Wang, 2020. "Measuring Accessibility Based on Improved Impedance and Attractive Functions Using Taxi Trajectory Data," Sustainability, MDPI, vol. 13(1), pages 1-23, December.
    14. Zhang, Zhaolin & Zhai, Guocong & Xie, Kun & Xiao, Feng, 2022. "Exploring the nonlinear effects of ridesharing on public transit usage: A case study of San Diego," Journal of Transport Geography, Elsevier, vol. 104(C).
    15. Paul Czioska & Ronny Kutadinata & Aleksandar Trifunović & Stephan Winter & Monika Sester & Bernhard Friedrich, 2019. "Real-world meeting points for shared demand-responsive transportation systems," Public Transport, Springer, vol. 11(2), pages 341-377, August.
    16. Hu, Beibei & Xia, Xuanxuan & Sun, Huijun & Dong, Xianlei, 2019. "Understanding the imbalance of the taxi market: From the high-quality customer’s perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    17. Peng, Zixuan & Shan, Wenxuan & Zhu, Xiaoning & Yu, Bin, 2022. "Many-to-one stable matching for taxi-sharing service with selfish players," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 255-279.
    18. Federico Librino & M. Elena Renda & Paolo Santi & Francesca Martelli & Giovanni Resta & Fabio Duarte & Carlo Ratti & Jinhua Zhao, 2020. "Home-work carpooling for social mixing," Transportation, Springer, vol. 47(5), pages 2671-2701, October.
    19. Yi, Xu & Lian, Feng & Yang, Zhongzhen, 2022. "Research on commuters’ carpooling behavior in the mobile internet context," Transport Policy, Elsevier, vol. 126(C), pages 14-25.
    20. Benita, Francisco, 2020. "Carpool to work: Determinants at the county-level in the United States," Journal of Transport Geography, Elsevier, vol. 87(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:176:y:2023:i:c:s0965856423002392. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.