IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v146y2021icp1-12.html
   My bibliography  Save this article

Does ridesourcing impact driving decisions: A survey weighted regression analysis

Author

Listed:
  • Zou, Zhenpeng
  • Cirillo, Cinzia

Abstract

The initial public offerings (IPOs) of Uber and Lyft in 2019 marked a milestone for the decade-old ridesourcing. As we start to embrace ridesourcing in our daily life, we also rearrange our daily travel amongst different modes of transportation. As the fundamental decisions in travel behavior, car ownership and car travel should be re-examined in the advent of shared mobility. In this paper, we applied a vehicle choice model that factors in ridesourcing frequency to understand the decisions about (1) how many cars an individual would declare as the primary driver of, and (2) the annual vehicle miles traveled (VMT) for all cars he or she drive. We used a subsample of the latest 2017 National Household Travel Survey (NHTS) data that focus on the Capital region (Washington, D.C. – Maryland – Virginia) as our study area. We applied a weighted regression analysis following the NHTS survey design and derived population-representative results on both decisions. In addition, we calculated the driving cost for each household vehicle based on the latest fuel economy data and incorporated driving cost into the car travel model. The results suggest that ridesourcing is associated with a smaller chance of an individual being the primary driver of a car. However, the elasticity indicates that ridesourcing usage has a small impact on the number of primarily driven cars. Furthermore, ridesourcing has no significant impact on the annual VMT, either. Driving cost, on the other hand, still plays the key role in determining driving distances.

Suggested Citation

  • Zou, Zhenpeng & Cirillo, Cinzia, 2021. "Does ridesourcing impact driving decisions: A survey weighted regression analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 1-12.
    • Handle: RePEc:eee:transa:v:146:y:2021:i:c:p:1-12
    DOI: 10.1016/j.tra.2021.02.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856421000343
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2021.02.006?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. Young, Mischa & Farber, Steven, 2019. "The who, why, and when of Uber and other ride-hailing trips: An examination of a large sample household travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 383-392.
    2. Joshua Linn, 2016. "The Rebound Effect for Passenger Vehicles," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    3. Liran Einav & Chiara Farronato & Jonathan Levin, 2016. "Peer-to-Peer Markets," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 615-635, October.
    4. 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.
    5. 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.
    6. Gillingham, Kenneth, 2014. "Identifying the elasticity of driving: Evidence from a gasoline price shock in California," Regional Science and Urban Economics, Elsevier, vol. 47(C), pages 13-24.
    7. 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.
    8. Shaheen, Susan & Cohen, Adam & Zohdy, Ismail & Kock, Beaudry, 2016. "Smartphone Applications to Influence Travel Choices: Practices and Policies," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8dq801g7, Institute of Transportation Studies, UC Berkeley.
    9. Stanislav Kolenikov, 2010. "Resampling variance estimation for complex survey data," Stata Journal, StataCorp LP, vol. 10(2), pages 165-199, June.
    10. Shaheen, Susan PhD & Chan, Nelson, 2016. "Mobility and the Sharing Economy: Potential to Overcome First- and Last-Mile Public Transit Connections," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8042k3d7, Institute of Transportation Studies, UC Berkeley.
    11. Felipe F. Dias & Patrícia S. Lavieri & Venu M. Garikapati & Sebastian Astroza & Ram M. Pendyala & Chandra R. Bhat, 2017. "A behavioral choice model of the use of car-sharing and ride-sourcing services," Transportation, Springer, vol. 44(6), pages 1307-1323, November.
    12. Liu, Yangwen & Tremblay, Jean-Michel & Cirillo, Cinzia, 2014. "An integrated model for discrete and continuous decisions with application to vehicle ownership, type and usage choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 315-328.
    13. Young, Mischa & Farber, Steven, 2019. "The Who, Why, and When of Uber and other Ride-hailing Trips: An Examination of a Large Sample Household Travel Survey," OSF Preprints x7ryj, Center for Open Science.
    14. Anne Brown, 2019. "Redefining Car Access," Journal of the American Planning Association, Taylor & Francis Journals, vol. 85(2), pages 83-95, April.
    15. Judd Cramer & Alan B. Krueger, 2016. "Disruptive Change in the Taxi Business: The Case of Uber," American Economic Review, American Economic Association, vol. 106(5), pages 177-182, May.
    16. Biao Yin & Liu Liu & Nicolas Coulombel & Vincent Viguie, 2018. "Appraising the environmental benefits of ride-sharing: The Paris region case study," Post-Print hal-01695082, HAL.
    17. Kellie J. Archer & Stanley Lemeshow, 2006. "Goodness-of-fit test for a logistic regression model fitted using survey sample data," Stata Journal, StataCorp LP, vol. 6(1), pages 97-105, March.
    18. Young, Mischa & Allen, Jeff & Farber, Steven, 2020. "Measuring when Uber behaves as a substitute or supplement to transit: An examination of travel-time differences in Toronto," Journal of Transport Geography, Elsevier, vol. 82(C).
    19. Hughes, Ryan & MacKenzie, Don, 2016. "Transportation network company wait times in Greater Seattle, and relationship to socioeconomic indicators," Journal of Transport Geography, Elsevier, vol. 56(C), pages 36-44.
    20. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    21. 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.
    22. Cetin, Tamer & Deakin, Elizabeth, 2019. "Regulation of taxis and the rise of ridesharing," Transport Policy, Elsevier, vol. 76(C), pages 149-158.
    23. 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.
    24. Young, Mischa & Tanguay, Georges A. & Lachapelle, Ugo, 2016. "Transportation costs and urban sprawl in Canadian metropolitan areas," Research in Transportation Economics, Elsevier, vol. 60(C), pages 25-34.
    25. 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.
    26. Hall, Jonathan D. & Palsson, Craig & Price, Joseph, 2018. "Is Uber a substitute or complement for public transit?," Journal of Urban Economics, Elsevier, vol. 108(C), pages 36-50.
    27. Alejandro Henao & Wesley E. Marshall, 2019. "The impact of ride-hailing on vehicle miles traveled," Transportation, Springer, vol. 46(6), pages 2173-2194, December.
    28. Manski, Charles F & Lerman, Steven R, 1977. "The Estimation of Choice Probabilities from Choice Based Samples," Econometrica, Econometric Society, vol. 45(8), pages 1977-1988, November.
    29. Yanbo Ge & Christopher R. Knittel & Don MacKenzie & Stephen Zoepf, 2016. "Racial and Gender Discrimination in Transportation Network Companies," NBER Working Papers 22776, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Xin & Zhong, Shiquan & Ling, Shuai & Jia, Ning & Qi, Hang & He, Zhengbing, 2022. "How to promote the transition from solo driving to mobility services delivery? An empirical study focusing on ridesharing," Transport Policy, Elsevier, vol. 129(C), pages 176-187.
    2. 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).
    3. Tian, Guang & Ewing, Reid & Li, Han, 2023. "Exploring the influences of ride-hailing services on VMT and transit usage – Evidence from California," Journal of Transport Geography, Elsevier, vol. 110(C).

    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. Nair, Gopindra S. & Bhat, Chandra R. & Batur, Irfan & Pendyala, Ram M. & Lam, William H.K., 2020. "A model of deadheading trips and pick-up locations for ride-hailing service vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 289-308.
    2. Soria, Jason & Stathopoulos, Amanda, 2021. "Investigating socio-spatial differences between solo ridehailing and pooled rides in diverse communities," Journal of Transport Geography, Elsevier, vol. 95(C).
    3. 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).
    4. Brown, Anne, 2022. "Not all fees are created equal: Equity implications of ride-hail fee structures and revenues," Transport Policy, Elsevier, vol. 125(C), pages 1-10.
    5. Barajas, Jesus M. & Brown, Anne, 2021. "Not minding the gap: Does ride-hailing serve transit deserts?," Journal of Transport Geography, Elsevier, vol. 90(C).
    6. Qiao, Si & Yeh, Anthony Gar-On, 2021. "Is ride-hailing a valuable means of transport in newly developed areas under TOD-oriented urbanization in China? Evidence from Chengdu City," Journal of Transport Geography, Elsevier, vol. 96(C).
    7. Aguilera-García, Álvaro & Gomez, Juan & Velázquez, Guillermo & Vassallo, Jose Manuel, 2022. "Ridesourcing vs. traditional taxi services: Understanding users’ choices and preferences in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 161-178.
    8. Qiao, Si & Zhang, Mengzhu & Yeh, Anthony Gar-On, 2023. "Mind the gender gap in ride-hailing from the demand side," Journal of Transport Geography, Elsevier, vol. 107(C).
    9. 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.
    10. Tirachini, Alejandro & del Río, Mariana, 2019. "Ride-hailing in Santiago de Chile: Users’ characterisation and effects on travel behaviour," Transport Policy, Elsevier, vol. 82(C), pages 46-57.
    11. Alejandro Tirachini, 2020. "Ride-hailing, travel behaviour and sustainable mobility: an international review," Transportation, Springer, vol. 47(4), pages 2011-2047, August.
    12. Li, Shengxiao(Alex) & Zhai, Wei & Jiao, Junfeng & Wang, Chao (Kenneth), 2022. "Who loses and who wins in the ride-hailing era? A case study of Austin, Texas," Transport Policy, Elsevier, vol. 120(C), pages 130-138.
    13. Dean, Matthew D. & Kockelman, Kara M., 2021. "Spatial variation in shared ride-hail trip demand and factors contributing to sharing: Lessons from Chicago," Journal of Transport Geography, Elsevier, vol. 91(C).
    14. Quirós, Cipriano & Portela, Javier & Marín, Raquel, 2021. "Differentiated models in the collaborative transport economy: A mixture analysis for Blablacar and Uber," Technology in Society, Elsevier, vol. 67(C).
    15. Yan, Xiang & Liu, Xinyu & Zhao, Xilei, 2020. "Using machine learning for direct demand modeling of ridesourcing services in Chicago," Journal of Transport Geography, Elsevier, vol. 83(C).
    16. Gehrke, Steven R., 2020. "Uber service area expansion in three major American cities," Journal of Transport Geography, Elsevier, vol. 86(C).
    17. Brown, Anne, 2021. "Not All Fees are Created Equal: Equity Implications of Ride-hail Fee Structures," OSF Preprints cpsqu, Center for Open Science.
    18. 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.
    19. Rezwana Rafiq & Michael G. McNally, 2023. "An exploratory analysis of alternative travel behaviors of ride-hailing users," Transportation, Springer, vol. 50(2), pages 571-605, April.
    20. Meredith-Karam, Patrick & Kong, Hui & Wang, Shenhao & Zhao, Jinhua, 2021. "The relationship between ridehailing and public transit in Chicago: A comparison before and after COVID-19," Journal of Transport Geography, Elsevier, vol. 97(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:146:y:2021:i:c:p:1-12. 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.