IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v52y2015icp46-55.html
   My bibliography  Save this article

The effect of carsharing on vehicle holdings and travel behavior: A propensity score and causal mediation analysis of the San Francisco Bay Area

Author

Listed:
  • Mishra, Gouri Shankar
  • Clewlow, Regina R.
  • Mokhtarian, Patricia L.
  • Widaman, Keith F.

Abstract

We examine the impacts of carsharing on travel behavior utilizing a San Francisco Area subsample of the 2010–2012 California Household Travel Survey. We control for self-selection bias due to differences in observed characteristics of the respondents using propensity-score based matching. We find that vehicle holdings of carsharing members are substantially and significantly lower than for non-members with similar characteristics in terms of individual and household demographics and built environment features of both residential and job location. These differences increase as the propensity to enroll in carsharing programs increases. A latent construct, which measures the propensity to own or utility from owning vehicles and rises with numbers of vehicles owned, is lower for members by 0.3–1.3 standard deviations relative to non-members. Members are also likely to walk, bike, and use transit more frequently than non-members. However, these differences are relatively minor and tend to be statistically non-significant. Future research should control for self-selection bias arising from differences in unobserved characteristics of respondents, as well as simultaneity bias whereby decisions concerning vehicle ownership both influence and are influenced by the decision to join carsharing programs.

Suggested Citation

  • Mishra, Gouri Shankar & Clewlow, Regina R. & Mokhtarian, Patricia L. & Widaman, Keith F., 2015. "The effect of carsharing on vehicle holdings and travel behavior: A propensity score and causal mediation analysis of the San Francisco Bay Area," Research in Transportation Economics, Elsevier, vol. 52(C), pages 46-55.
  • Handle: RePEc:eee:retrec:v:52:y:2015:i:c:p:46-55
    DOI: 10.1016/j.retrec.2015.10.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885915000542
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.retrec.2015.10.010?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Mokhtarian, Patricia L. & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 204-228, March.
    2. Firnkorn, Jörg & Müller, Martin, 2011. "What will be the environmental effects of new free-floating car-sharing systems? The case of car2go in Ulm," Ecological Economics, Elsevier, vol. 70(8), pages 1519-1528, June.
    3. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    4. repec:cdl:itsrrp:qt6wr90040 is not listed on IDEAS
    5. Bhat, Chandra R. & Pulugurta, Vamsi, 1998. "A comparison of two alternative behavioral choice mechanisms for household auto ownership decisions," Transportation Research Part B: Methodological, Elsevier, vol. 32(1), pages 61-75, January.
    6. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    7. Bhat, Chandra R. & Eluru, Naveen, 2009. "A copula-based approach to accommodate residential self-selection effects in travel behavior modeling," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 749-765, August.
    8. Fox, John, 2003. "Effect Displays in R for Generalised Linear Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 8(i15).
    9. repec:cdl:itsdav:qt08x1k476 is not listed on IDEAS
    10. repec:cdl:itsrrp:qt6dw9d79z is not listed on IDEAS
    11. repec:cdl:uctcwp:qt8bz3z5qm is not listed on IDEAS
    12. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204, May.
    13. repec:cdl:itsrrp:qt6xt6d5jv is not listed on IDEAS
    14. repec:cdl:uctcwp:qt5b76c5kg is not listed on IDEAS
    15. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, January.
    16. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-338, May.
    17. Elliot Martin & Susan Shaheen, 2011. "The Impact of Carsharing on Public Transit and Non-Motorized Travel: An Exploration of North American Carsharing Survey Data," Energies, MDPI, vol. 4(11), pages 1-21, November.
    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. Gouri Shankar Mishra & Patricia L. Mokhtarian & Regina R. Clewlow & Keith F. Widaman, 2019. "Addressing the joint occurrence of self-selection and simultaneity biases in the estimation of program effects based on cross-sectional observational surveys: case study of travel behavior effects in ," Transportation, Springer, vol. 46(1), pages 95-123, February.
    2. Matilde Cappelletti & Leonardo M. Giuffrida, 2024. "Targeted Bidders in Government Tenders," CESifo Working Paper Series 11142, CESifo.
    3. Gerhard Krug, 2017. "Augmenting propensity score equations to avoid misspecification bias – Evidence from a Monte Carlo simulation [Erweiterung der Propensity Score Gleichung zur Vermeidung von Fehlspezifikationen? Ein," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 11(3), pages 205-231, December.
    4. Gary King & Christopher Lucas & Richard A. Nielsen, 2017. "The Balance‐Sample Size Frontier in Matching Methods for Causal Inference," American Journal of Political Science, John Wiley & Sons, vol. 61(2), pages 473-489, April.
    5. Fukui Hideki, 2023. "Evaluating Different Covariate Balancing Methods: A Monte Carlo Simulation," Statistics, Politics and Policy, De Gruyter, vol. 14(2), pages 205-326, June.
    6. Verena Lauber & Johanna Storck, 2016. "Helping with the Kids? How Family-Friendly Workplaces Affect Parental Well-Being and Behavior," SOEPpapers on Multidisciplinary Panel Data Research 883, DIW Berlin, The German Socio-Economic Panel (SOEP).
    7. Verena Lauber & Johanna Storck, 2016. "Helping with the Kids? How Family-Friendly Workplaces Affect Parental Well-Being and Behavior," Discussion Papers of DIW Berlin 1630, DIW Berlin, German Institute for Economic Research.
    8. Franz R. Hahn & Werner Hölzl & Claudia Kwapil, 2016. "The Credit Channel and the Role of Monetary Policy Before, During and After the Global Financial Crisis. A Micro Data Approach to the Analysis of Bank-firm Relationships," WIFO Studies, WIFO, number 59233.
    9. Chetan Doddamani & M. Manoj, 2023. "Analysis of the influences of built environment measures on household car and motorcycle ownership decisions in Hubli-Dharwad cities," Transportation, Springer, vol. 50(1), pages 205-243, February.
    10. K. Poehlmann & R. Helm & O. Mauroner & J. Auburger, 2021. "Corporate spin-offs’ success factors: management lessons from a comparative empirical analysis with research-based spin-offs," Review of Managerial Science, Springer, vol. 15(6), pages 1767-1796, August.
    11. Mahdi Rezapour & F. Richard Ferraro, 2021. "The impact of commuters’ psychological feelings due to delay on perceived quality of a rail transport," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-8, December.
    12. Stokkink, Patrick & Geroliminis, Nikolas, 2021. "Predictive user-based relocation through incentives in one-way car-sharing systems," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 230-249.
    13. Ugur, Mehmet & Trushin, Eshref, 2018. "Asymmetric information and heterogeneous effects of R&D subsidies: evidence on R&D investment and employment of R&D personel," Greenwich Papers in Political Economy 21943, University of Greenwich, Greenwich Political Economy Research Centre.
    14. Fabrice Defever & Alejandro Riano & Gonzalo Varela, 2020. "Evaluating the impact of export finance support on firm-level export performance: Evidence from Pakistan," Discussion Papers 2020-07, University of Nottingham, GEP.
    15. Hohendanner Christian, 2011. "Ein-Euro-Jobs und reguläre Beschäftigung / One-Euro-Jobs and Regular Employment: Eine Analyse potenzieller Substitutionseffekte mit Daten des IAB-Betriebspanels / An Analysis of Potential Substitution," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(2), pages 210-246, April.
    16. Do Xuan Luan, 2015. "Microcredit and Poverty Reduction: A Case Study of Microfinance Fund for Community Development in Northern Vietnam," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 7(8), pages 1-44, July.
    17. Riccardo Turati, 2025. "Networks abroad and culture: global individual-level evidence," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(1), pages 1-42, March.
    18. Credit, Kevin, 2025. "The Impact of Light Rail Construction on Regional On-Road CO2 Emissions Per Capita," OSF Preprints euyj6_v2, Center for Open Science.
    19. repec:cdl:itsdav:qt1kq5d07p is not listed on IDEAS
    20. Gregory S. Crawford & Nicola Pavanini & Fabiano Schivardi, 2018. "Asymmetric Information and Imperfect Competition in Lending Markets," American Economic Review, American Economic Association, vol. 108(7), pages 1659-1701, July.
    21. Arthur Charpentier & Emmanuel Flachaire & Ewen Gallic, 2023. "Optimal Transport for Counterfactual Estimation: A Method for Causal Inference," Papers 2301.07755, arXiv.org.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:retrec:v:52:y:2015:i:c:p:46-55. 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/620614/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.