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How can public transit get people out of their cars? An analysis of transit mode choice for commute trips in Los Angeles

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  • Chakrabarti, Sandip

Abstract

U.S. public transit agencies struggle to attract and retain riders. Unprecedented public investments have been made over the past several decades for expanding and improving transit service across cities. Unfortunately, however, there is no evidence of increase in ridership once growth in population and aggregate travel demand are accounted for. Consequently, the quest for boosting patronage continues. The challenge, experts argue, is to attract people out of cars.

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  • 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.
    • Handle: RePEc:eee:trapol:v:54:y:2017:i:c:p:80-89
    DOI: 10.1016/j.tranpol.2016.11.005
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    1. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    2. 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.
    3. Buehler, Ralph, 2011. "Determinants of transport mode choice: a comparison of Germany and the USA," Journal of Transport Geography, Elsevier, vol. 19(4), pages 644-657.
    4. Forsey, David & Habib, Khandker Nurul & Miller, Eric J. & Shalaby, Amer, 2013. "Evaluating the impacts of a new transit system on commuting mode choice using a GEV model estimated to revealed preference data: A case study of the VIVA system in York Region, Ontario," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 1-14.
    5. 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.
    6. Gillen, David W., 1977. "Estimation and specification of the effects of parking costs on urban transport mode choice," Journal of Urban Economics, Elsevier, vol. 4(2), pages 186-199, April.
    7. Javier Asensio, 2002. "Transport Mode Choice by Commuters to Barcelona's CBD," Urban Studies, Urban Studies Journal Limited, vol. 39(10), pages 1881-1895, September.
    8. Chakrabarti, Sandip, 2015. "The demand for reliable transit service: New evidence using stop level data from the Los Angeles Metro bus system," Journal of Transport Geography, Elsevier, vol. 48(C), pages 154-164.
    9. Kevin Washbrook & Wolfgang Haider & Mark Jaccard, 2006. "Estimating commuter mode choice: A discrete choice analysis of the impact of road pricing and parking charges," Transportation, Springer, vol. 33(6), pages 621-639, November.
    10. Crane, Randall, 1998. "Travel By Design?," University of California Transportation Center, Working Papers qt3pc4v6jj, University of California Transportation Center.
    11. Cervero, Robert, 1994. "Transit-based housing in California: evidence on ridership impacts," Transport Policy, Elsevier, vol. 1(3), pages 174-183, June.
    12. Schneider, Robert J., 2013. "Theory of routine mode choice decisions: An operational framework to increase sustainable transportation," Transport Policy, Elsevier, vol. 25(C), pages 128-137.
    13. Chakrabarti, Sandip & Giuliano, Genevieve, 2015. "Does service reliability determine transit patronage? Insights from the Los Angeles Metro bus system," Transport Policy, Elsevier, vol. 42(C), pages 12-20.
    14. Daniel G. Chatman, 2013. "Does TOD Need the T?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 79(1), pages 17-31, January.
    15. Matthias Sweet & Mengke Chen, 2011. "Does regional travel time unreliability influence mode choice?," Transportation, Springer, vol. 38(4), pages 625-642, July.
    16. Fosgerau, Mogens & Engelson, Leonid, 2011. "The value of travel time variance," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 1-8, January.
    17. Maren Outwater & Greg Spitz & John Lobb & Margaret Campbell & Bhargava Sana & Ram Pendyala & William Woodford, 2011. "Characteristics of premium transit services that affect mode choice," Transportation, Springer, vol. 38(4), pages 605-623, July.
    18. Crane, Randall & Crepeau, Richard, 1998. "Does Neighborhood Design Influence Travel?: Behavioral Analysis of Travel Diary and GIS Data," University of California Transportation Center, Working Papers qt4pj4s7t8, University of California Transportation Center.
    19. de Donnea, F. X., 1972. "Consumer behaviour, transport mode choice and value of time: Some micro-economic models," Regional and Urban Economics, Elsevier, vol. 1(4), pages 355-382, February.
    20. 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.
    21. Lisa Schweitzer, 2014. "Planning and Social Media: A Case Study of Public Transit and Stigma on Twitter," Journal of the American Planning Association, Taylor & Francis Journals, vol. 80(3), pages 218-238, July.
    22. Giuliano, Genevieve & Dargay, Joyce, 2006. "Car ownership, travel and land use: a comparison of the US and Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 106-124, February.
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    17. Jeongwoo Lee & Marlon Boarnet & Douglas Houston & Hilary Nixon & Steven Spears, 2017. "Changes in Service and Associated Ridership Impacts near a New Light Rail Transit Line," Sustainability, MDPI, vol. 9(10), pages 1-27, October.
    18. Yao, Di & Xu, Liqun & Zhang, Chunqin & Li, Jinpei, 2021. "Revisiting the interactions between bus service quality, car ownership and mode use: A case study in Changzhou, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 329-344.
    19. Zhesong Hao & Ying Peng, 2022. "Comparing Nonlinear and Threshold Effects of Bus Stop Proximity on Transit Use and Carbon Emissions in Developing Cities," Land, MDPI, vol. 12(1), pages 1-21, December.
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    21. Das, Sanhita & Boruah, Alice & Banerjee, Arunabha & Raoniar, Rahul & Nama, Suresh & Maurya, Akhilesh Kumar, 2021. "Impact of COVID-19: A radical modal shift from public to private transport mode," Transport Policy, Elsevier, vol. 109(C), pages 1-11.
    22. Eldeeb, Gamal & Mohamed, Moataz, 2020. "Quantifying preference heterogeneity in transit service desired quality using a latent class choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 119-133.
    23. Xiaodan Li & Binglei Xie & Di Gong, 2023. "Effectiveness Analysis of Public Transit Pandemic Prevention Strategy Considering Traveler Risk Perception," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    24. Thorhauge, Mikkel & Kassahun, Habtamu Tilahun & Cherchi, Elisabetta & Haustein, Sonja, 2020. "Mobility needs, activity patterns and activity flexibility: How subjective and objective constraints influence mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 255-272.

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