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Relationship between proximity to transit and ridership for journey-to-work trips in Chicago

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  • Lindsey, Marshall
  • Schofer, Joseph L.
  • Durango-Cohen, Pablo
  • Gray, Kimberly A.

Abstract

The use of privately owned vehicles (POVs) contributes significantly to US energy consumption (EC) and greenhouse gas emissions (GHGe). Strategies for reducing POV use include shifting trips to other modes, particularly public transit. Choices to use transit are based on characteristics of travelers, their trips, and the quality of competing transportation services. Here we focus on the proximity of rail stations to trip origins/destinations as a factor affecting mode choice for work trips. Using household travel survey data from Chicago, we evaluate the profile of journey-to-work (JTW) trips, assessing mode share and potential for more travelers to use rail. For work trips having the origin/destination as close as 1 mile from rail transit stations, POVs were still the dominant travel mode, capturing as much as 61%, followed by rail use at 14%. This high degree of POV use coupled with the proportion of JTW trips within close proximity to rail stations indicated that at least some of these trips may be candidates for shifting from POV to rail. For example, shifting all work trips with both the origin/destination within 1 mile of commuter rail stations would potentially reduce the energy associated with all work-related POV driving trips by a maximum of 24%. Based on the analysis of trips having the origin and destination closest to train stations, a complete shift in mode from POV to train could exceed CO2 reduction goals targeted in the Chicago Climate Action Plan. This could occur with current settlement patterns and the use of existing infrastructure. However, changes in traveler behavior and possibly rail operation would be necessary, making policy to motivate this change essential.

Suggested Citation

  • Lindsey, Marshall & Schofer, Joseph L. & Durango-Cohen, Pablo & Gray, Kimberly A., 2010. "Relationship between proximity to transit and ridership for journey-to-work trips in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 697-709, November.
    • Handle: RePEc:eee:transa:v:44:y:2010:i:9:p:697-709
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    2. Kwoka, Gregory J. & Boschmann, E. Eric & Goetz, Andrew R., 2015. "The impact of transit station areas on the travel behaviors of workers in Denver, Colorado," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 277-287.
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    7. Lascano Kežić, Marcelo E. & Durango-Cohen, Pablo Luis, 2018. "New ridership for old rail: An analysis of changes in the utilization of Chicago's urban rail system, 1990–2008," Research in Transportation Economics, Elsevier, vol. 71(C), pages 17-26.
    8. Ibraeva, Anna & Van Wee, Bert & Correia, Gonçalo Homem de Almeida & Pais Antunes, António, 2021. "Longitudinal macro-analysis of car-use changes resulting from a TOD-type project: The case of Metro do Porto (Portugal)," Journal of Transport Geography, Elsevier, vol. 92(C).
    9. Shen, Qing & Chen, Peng & Pan, Haixiao, 2016. "Factors affecting car ownership and mode choice in rail transit-supported suburbs of a large Chinese city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 31-44.
    10. Arefeh Nasri & Lei Zhang, 2019. "How Urban Form Characteristics at Both Trip Ends Influence Mode Choice: Evidence from TOD vs. Non-TOD Zones of the Washington, D.C. Metropolitan Area," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
    11. Sung, Hyungun & Choi, Keechoo & Lee, Sugie & Cheon, SangHyun, 2014. "Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership," Journal of Transport Geography, Elsevier, vol. 36(C), pages 134-140.
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    13. Wojciech Keblowski & Frédéric Dobruszkes & Kobe Boussauw, 2022. "Moving past sustainable transport studies: Towards a critical perspective on urban transport," ULB Institutional Repository 2013/341191, ULB -- Universite Libre de Bruxelles.
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