IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v50y2023i3d10.1007_s11116-022-10268-x.html
   My bibliography  Save this article

How carpool drivers choose their passengers in Nanjing, China: effects of facial attractiveness and credit

Author

Listed:
  • Dawei Li

    (Southeast University
    Jiangsu Key Laboratory of Urban ITS, Southeast University
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University)

  • Yuchen Song

    (Southeast University
    Jiangsu Key Laboratory of Urban ITS, Southeast University
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University)

  • Dongjie Liu

    (Southeast University
    Jiangsu Key Laboratory of Urban ITS, Southeast University
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University)

  • Qi Cao

    (Southeast University
    Jiangsu Key Laboratory of Urban ITS, Southeast University
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University)

  • Junlan Chen

    (Southeast University
    Jiangsu Key Laboratory of Urban ITS, Southeast University
    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University)

Abstract

Carpooling, as an increasingly popular ridesharing service available in China, offers car access to those who do not own a private vehicle. However, disclosing passengers’ personal information to drivers, especially their photos and gender, may encourage facial discrimination or violent crimes. In this paper, we explore the passenger choice behavior of carpool drivers in China. A stated preference survey was designed to collect drivers’ choices. An ordered choice model considering drivers’ observed taste heterogeneity and random effects within panel data was employed to find the associations between passengers’ personal information and drivers’ choice behavior. Behavioral findings show that carpool drivers’ passenger choice behavior is significantly affected by not only the attributes that are trip specific, but also the characteristics of drivers and passengers, and the interactions among these characteristics. Value of facial attractiveness (VOFA) and value of credit (VOC) are both defined and calculated to show that the charges are less important to carpool drivers in China. We then discuss research questions in depth, i.e., the drivers’ purposes, the implications of drivers’ passenger choices on equality, operational suggestions, and the reflection of discrimination and risk problems on the management of Internet companies, the government regulatory system, and the social ethics concerns.

Suggested Citation

  • Dawei Li & Yuchen Song & Dongjie Liu & Qi Cao & Junlan Chen, 2023. "How carpool drivers choose their passengers in Nanjing, China: effects of facial attractiveness and credit," Transportation, Springer, vol. 50(3), pages 929-958, June.
    • Handle: RePEc:kap:transp:v:50:y:2023:i:3:d:10.1007_s11116-022-10268-x
    DOI: 10.1007/s11116-022-10268-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-022-10268-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-022-10268-x?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. 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.
    2. Daniel Kaimann, 2020. "Behind the Review Curtain: Decomposition of Online Consumer Ratings in Peer-to-Peer Markets," Sustainability, MDPI, vol. 12(15), pages 1-17, July.
    3. 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.
    4. Francesca Martelli & M. Elena Renda & Jinhua Zhao, 2021. "The Price of Privacy Control in Mobility Sharing," Journal of Urban Technology, Taylor & Francis Journals, vol. 28(1-2), pages 237-262, April.
    5. 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.
    6. Yuanyuan Zhang & Yuming Zhang, 2018. "Examining the Relationship between Household Vehicle Ownership and Ridesharing Behaviors in the United States," Sustainability, MDPI, vol. 10(8), pages 1-24, August.
    7. Scott Middleton & Jinhua Zhao, 2020. "Discriminatory attitudes between ridesharing passengers," Transportation, Springer, vol. 47(5), pages 2391-2414, October.
    8. Furuhata, Masabumi & Dessouky, Maged & Ordóñez, Fernando & Brunet, Marc-Etienne & Wang, Xiaoqing & Koenig, Sven, 2013. "Ridesharing: The state-of-the-art and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 28-46.
    9. Yu Cui & Ramandeep Singh Manjeet Singh Makhija & Roger B. Chen & Qing He & Alireza Khani, 2021. "Understanding and Modeling the Social Preferences for Riders in Rideshare Matching," Transportation, Springer, vol. 48(4), pages 1809-1835, August.
    10. Shaheen, Susan A. & Chan, Nelson D. & Gaynor, Teresa, 2016. "Casual carpooling in the San Francisco Bay Area: Understanding user characteristics, behaviors, and motivations," Transport Policy, Elsevier, vol. 51(C), pages 165-173.
    11. Juan Julià & Rafael Chaves, 2012. "Introduction: social economy, a third sector in a plural people-oriented economy," Service Business, Springer;Pan-Pacific Business Association, vol. 6(1), pages 1-4, March.
    12. Agatz, Niels & Erera, Alan & Savelsbergh, Martin & Wang, Xing, 2012. "Optimization for dynamic ride-sharing: A review," European Journal of Operational Research, Elsevier, vol. 223(2), pages 295-303.
    13. Su, Qing & Zhou, Liren, 2012. "Parking management, financial subsidies to alternatives to drive alone and commute mode choices in Seattle," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 88-97.
    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. 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.
    2. Julie Bulteau & Thierry Feuillet & Sophie Dantan & Souhir Abbes, 2021. "Encouraging carpooling for commuting in the Paris area (France): which incentives and for whom?," Post-Print hal-04362180, HAL.
    3. Anne Aguiléra & Eléonore Pigalle, 2021. "The Future and Sustainability of Carpooling Practices. An Identification of Research Challenges," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    4. Punel, Aymeric & Stathopoulos, Amanda, 2017. "Modeling the acceptability of crowdsourced goods deliveries: Role of context and experience effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 18-38.
    5. 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.
    6. María del Carmen Rey-Merchán & Antonio López-Arquillos & Manuela Pires Rosa, 2022. "Carpooling Systems for Commuting among Teachers: An Expert Panel Analysis of Their Barriers and Incentives," IJERPH, MDPI, vol. 19(14), pages 1-12, July.
    7. Omer Faruk Aydin & Ilgin Gokasar & Onur Kalan, 2020. "Matching algorithm for improving ride-sharing by incorporating route splits and social factors," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-23, March.
    8. Lars E. Olsson & Raphaela Maier & Margareta Friman, 2019. "Why Do They Ride with Others? Meta-Analysis of Factors Influencing Travelers to Carpool," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    9. Ye Ma & Biying Yu & Meimei Xue, 2018. "Spatial Heterogeneous Characteristics of Ridesharing in Beijing–Tianjin–Hebei Region of China," Energies, MDPI, vol. 11(11), pages 1-21, November.
    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. Romero, Fernando & Gomez, Juan & Paez, Antonio & Vassallo, José Manuel, 2020. "Toll roads vs. Public transportation: A study on the acceptance of congestion-calming measures in Madrid," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 319-342.
    12. André de Palma & Lucas Javaudin & Patrick Stokkink & Léandre Tarpin-Pitre, 2021. "Modelling Ridesharing in a Large Network with Dynamic Congestion," THEMA Working Papers 2021-16, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    13. Xiao Lingling & Zhou Zhitian, 2020. "Traveler’s Willingness to Accept and Provide Carpooling Services: A Case Study in Beijing," Journal of Systems Science and Information, De Gruyter, vol. 8(4), pages 356-366, August.
    14. 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.
    15. 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.
    16. He, Zhengbing, 2021. "Portraying ride-hailing mobility using multi-day trip order data: A case study of Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 152-169.
    17. José Alberto Molina & J. Ignacio Giménez-Nadal & Jorge Velilla, 2020. "Sustainable Commuting: Results from a Social Approach and International Evidence on Carpooling," Sustainability, MDPI, vol. 12(22), pages 1-12, November.
    18. André Palma & Lucas Javaudin & Patrick Stokkink & Léandre Tarpin-Pitre, 2024. "Ride-sharing with inflexible drivers in the Paris metropolitan area," Transportation, Springer, vol. 51(3), pages 963-986, June.
    19. Inayatullah Shah & Mohammed El Affendi & Basit Qureshi, 2020. "SRide: An Online System for Multi-Hop Ridesharing," Sustainability, MDPI, vol. 12(22), pages 1-29, November.
    20. Yang, Jie & Zhao, Daozhi & Wang, Zeyu & Xu, Chunqiu, 2022. "Impact of regulation on on-demand ride-sharing service: Profit-based target vs demand-based target," Research in Transportation Economics, Elsevier, vol. 92(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:kap:transp:v:50:y:2023:i:3:d:10.1007_s11116-022-10268-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.