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The effectiveness of ridesharing incentives: Discrete-choice models of commuting in Southern California

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  • Brownstone, David
  • Golob, Thomas F.

Abstract

This paper studies the effects of certain incentives designed to promote ridesharing on work trips to reduce congestion and air pollution. Ordered probit discrete choice models of commuters' mode choices (always rideshare, sometimes rideshare, and always drive alone) are estimated using a new study of full-time workers' commuting behavior in the greater Los Angeles area. We find that women and those who have larger households with multiple workers, longer commutes, and larger worksites are more likely to rideshare. Partial equilibrium policy simulations with our model indicate that providing all workers with reserved parking, ridesharing subsidies, guaranteed rides home, and high-occupancy vehicle lanes would reduce drive-alone commuting between 11 and 18 percent.
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  • Brownstone, David & Golob, Thomas F., 1992. "The effectiveness of ridesharing incentives: Discrete-choice models of commuting in Southern California," Regional Science and Urban Economics, Elsevier, vol. 22(1), pages 5-24, March.
    • Handle: RePEc:eee:regeco:v:22:y:1992:i:1:p:5-24
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    1. Marlon G. Boarnet & Sharon Sarmiento, 1998. "Can Land-use Policy Really Affect Travel Behaviour? A Study of the Link between Non-work Travel and Land-use Characteristics," Urban Studies, Urban Studies Journal Limited, vol. 35(7), pages 1155-1169, June.
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    8. Pédussel Wu, Jennifer, 2004. "Measuring and explaining levels of regional economic integration," ZEI Working Papers B 12-2004, University of Bonn, ZEI - Center for European Integration Studies.
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    14. 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.
    15. Evelyn Blumenberg & Michael Smart, 2010. "Getting by with a little help from my friends…and family: immigrants and carpooling," Transportation, Springer, vol. 37(3), pages 429-446, May.
    16. Brownstone, David, 1997. "Multiple Imputation Methodology for Missing Data, Non-Random Response, and Panel Attrition," University of California Transportation Center, Working Papers qt2zd6w6hh, University of California Transportation Center.
    17. Ma, Rui & Zhang, H.M., 2017. "The morning commute problem with ridesharing and dynamic parking charges," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 345-374.
    18. Drusilla van Hengel & Joseph DiMento & Sherry Ryan, 1999. "Equal Access? Travel Behaviour Change in the Century Freeway Corridor, Los Angeles," Urban Studies, Urban Studies Journal Limited, vol. 36(3), pages 547-562, March.
    19. Kim, Seyoung, 1994. "Gender Differences in Commuting: An Empirical Study of the Greater Los Angeles Metropolitan Area," University of California Transportation Center, Working Papers qt2n60d857, University of California Transportation Center.
    20. Kim, Seyoung, 1993. "After the Resolution: Excess Commuting for Two-Worker Households in the Los Angeles Metropolitan Area," University of California Transportation Center, Working Papers qt2km7f60d, University of California Transportation Center.
    21. Haoran Chen & Xuedong Yan & Xiaobing Liu & Tao Ma, 2023. "Exploring the operational performance discrepancies between online ridesplitting and carpooling transportation modes based on DiDi data," Transportation, Springer, vol. 50(5), pages 1923-1958, October.
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    23. Rezwana Rafiq & Suman Kumar Mitra, 2020. "Shared school transportation: determinants of carpooling as children’s school travel mode in California," Transportation, Springer, vol. 47(3), pages 1339-1357, June.
    24. Anfeng Xu & Jiming Chen & Zihui Liu, 2021. "Exploring the Effects of Carpooling on Travelers’ Behavior during the COVID-19 Pandemic: A Case Study of Metropolitan City," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    25. Rui Mu & Martin De Jong, 2018. "A Tale of Two Chinese Transit Metropolises and the Implementation of Their Policies: Shenyang and Dalian (Liaoning Province, China)," Energies, MDPI, vol. 11(3), pages 1-18, February.

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