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The relationship between financial incentives provided by employers and commuters' decision to use transit: Results from the Atlanta Regional Household Travel Survey

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  • Ghimire, Ramesh
  • Lancelin, Colby

Abstract

Local employers can play an important role in the transportation or travel demand management (TDM) effort by influencing commuters' mode choice through financial incentives. Using the 2011 Atlanta Regional Household Travel Survey data, this paper analyzes the relationship between free or subsidized transit pass or parking provided by employers and commuters' decision to use transit in metro Atlanta. We find that employees who were provided free or subsidized transit pass had 156% higher odds to commute on transit, but employees who were provided free or subsidized parking had 71% lower odds to commute on transit, all else equal, compared to their counterparts. Hence, encouraging local employers to offer free or subsidized transit pass instead of free or subsidized parking to their employees would be an effective strategy to manage transportation or travel demand in metro Atlanta.

Suggested Citation

  • Ghimire, Ramesh & Lancelin, Colby, 2019. "The relationship between financial incentives provided by employers and commuters' decision to use transit: Results from the Atlanta Regional Household Travel Survey," Transport Policy, Elsevier, vol. 74(C), pages 103-113.
    • Handle: RePEc:eee:trapol:v:74:y:2019:i:c:p:103-113
    DOI: 10.1016/j.tranpol.2018.11.005
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    References listed on IDEAS

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    1. Wilson, Richard W., 1992. "Estimating the travel and parking demand effects of employer-paid parking," Regional Science and Urban Economics, Elsevier, vol. 22(1), pages 133-145, March.
    2. Mark R. Stevens, 2017. "Does Compact Development Make People Drive Less?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(1), pages 7-18, January.
    3. Chakrabarti, Sandip, 2017. "How can public transit get people out of their cars? An analysis of transit mode choice for commute trips in Los Angeles," Transport Policy, Elsevier, vol. 54(C), pages 80-89.
    4. Willson, Richard W. & Shoup, Donald C., 1990. "Parking Subsidies and Travel Choices: Assessing the Evidence," University of California Transportation Center, Working Papers qt3256f490, University of California Transportation Center.
    5. Shahram Bohluli & Siamak Ardekani & Farzad Daneshgar, 2014. "Development and validation of a direct mode choice model," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(7), pages 649-662, October.
    6. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    7. Vega, Amaya & Reynolds-Feighan, Aisling, 2009. "A methodological framework for the study of residential location and travel-to-work mode choice under central and suburban employment destination patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 401-419, May.
    8. Wilson, Richard W. & Shoup, Donald C., 1990. "Parking Subsidies and Travel Choices: Assessing the Evidence," University of California Transportation Center, Working Papers qt5w24532x, University of California Transportation Center.
    9. Zhang, Zheng & Fujii, Hidemichi & Managi, Shunsuke, 2014. "How does Commuting Behavior Change Due to Incentives? An Empirical Study of the Beijing Subway System," MPRA Paper 54691, University Library of Munich, Germany.
    10. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    11. Rey, David & Dixit, Vinayak V. & Ygnace, Jean-Luc & Waller, S. Travis, 2016. "An endogenous lottery-based incentive mechanism to promote off-peak usage in congested transit systems," Transport Policy, Elsevier, vol. 46(C), pages 46-55.
    12. Cynthia Chen & Hongmian Gong & Robert Paaswell, 2008. "Role of the built environment on mode choice decisions: additional evidence on the impact of density," Transportation, Springer, vol. 35(3), pages 285-299, May.
    13. Gärling, Tommy & Eek, Daniel & Loukopoulos, Peter & Fujii, Satoshi & Johansson-Stenman, Olof & Kitamura, Ryuichi & Pendyala, Ram & Vilhelmson, Bertil, 2002. "A conceptual analysis of the impact of travel demand management on private car use," Transport Policy, Elsevier, vol. 9(1), pages 59-70, January.
    14. Savage, Ian, 2013. "Comparing the fatality risks in United States transportation across modes and over time," Research in Transportation Economics, Elsevier, vol. 43(1), pages 9-22.
    15. Satoshi Fujii & Ryuichi Kitamura, 2003. "What does a one-month free bus ticket do to habitual drivers? An experimental analysis of habit and attitude change," Transportation, Springer, vol. 30(1), pages 81-95, February.
    16. Schwanen, Tim & Mokhtarian, Patricia L., 2005. "What Affects Commute Mode Choice: Neighborhood Physical Structure or Preferences Toward Neighborhoods?," University of California Transportation Center, Working Papers qt4nq9r1c9, University of California Transportation Center.
    17. Mark R. Stevens, 2017. "Response to Commentaries on “Does Compact Development Make People Drive Less?”," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(2), pages 151-158, April.
    18. Ben-Elia, Eran & Ettema, Dick, 2011. "Rewarding rush-hour avoidance: A study of commuters' travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 567-582, August.
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