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Give public transit a chance: A comparative analysis of competitive travel time in public transit modal share

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  • Altieri, Marcelo
  • Silva, Cecília
  • Terabe, Shintaro

Abstract

Extensive research has found that people are more likely to choose the transport alternative which offers shorter travel time. But few studies approached the role of travel time across different transport alternatives and cities. This research assesses the influence of competitive travel time between car and public transit in public transit modal share for commute trips. São Paulo, New York, and Tokyo were selected to perform the analysis. A Fractional Logistic Regression in the binary form was drawn, and a competitive travel time index was calculated based on the Car/Public transit travel time ratio weighted by the number of the employed population at the origin and jobs at destinations in the absence of an Origin-Destination matrix. Findings suggest that, though car ownership was identified as the major factor, Car/Public transit travel time ratio is positively associated with the increase of public transit modal share. Furthermore, the Car/Public transit travel time ratio effect in public transit modal share consistently increases as people get increased access to cars.

Suggested Citation

  • Altieri, Marcelo & Silva, Cecília & Terabe, Shintaro, 2020. "Give public transit a chance: A comparative analysis of competitive travel time in public transit modal share," Journal of Transport Geography, Elsevier, vol. 87(C).
    • Handle: RePEc:eee:jotrge:v:87:y:2020:i:c:s0966692319310798
    DOI: 10.1016/j.jtrangeo.2020.102817
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    as
    1. Moniruzzaman, Md & Páez, Antonio, 2012. "Accessibility to transit, by transit, and mode share: application of a logistic model with spatial filters," Journal of Transport Geography, Elsevier, vol. 24(C), pages 198-205.
    2. 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.
    3. dell'Olio, Luigi & Ibeas, Angel & Cecin, Patricia, 2011. "The quality of service desired by public transport users," Transport Policy, Elsevier, vol. 18(1), pages 217-227, January.
    4. 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.
    5. Owen, Andrew & Levinson, David M., 2015. "Modeling the commute mode share of transit using continuous accessibility to jobs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 110-122.
    6. Cascetta, Ennio & Cartenì, Armando & Pagliara, Francesca & Montanino, Marcello, 2015. "A new look at planning and designing transportation systems: A decision-making model based on cognitive rationality, stakeholder engagement and quantitative methods," Transport Policy, Elsevier, vol. 38(C), pages 27-39.
    7. Mizuki Kawabata & Qing Shen, 2006. "Job Accessibility as an Indicator of Auto-Oriented Urban Structure: A Comparison of Boston and Los Angeles with Tokyo," Environment and Planning B, , vol. 33(1), pages 115-130, February.
    8. Kuhnimhof, Tobias & Buehler, Ralph & Wirtz, Matthias & Kalinowska, Dominika, 2012. "Travel trends among young adults in Germany: increasing multimodality and declining car use for men," Journal of Transport Geography, Elsevier, vol. 24(C), pages 443-450.
    9. Lawrence Frank & Mark Bradley & Sarah Kavage & James Chapman & T. Lawton, 2008. "Urban form, travel time, and cost relationships with tour complexity and mode choice," Transportation, Springer, vol. 35(1), pages 37-54, January.
    10. Commins, Nicola & Nolan, Anne, 2011. "The determinants of mode of transport to work in the Greater Dublin Area," Transport Policy, Elsevier, vol. 18(1), pages 259-268, January.
    11. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    12. Abdul Pinjari & Ram Pendyala & Chandra Bhat & Paul Waddell, 2011. "Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions," Transportation, Springer, vol. 38(6), pages 933-958, November.
    13. Eric Miller & Matthew Roorda & Juan Carrasco, 2005. "A tour-based model of travel mode choice," Transportation, Springer, vol. 32(4), pages 399-422, July.
    14. Salonen, Maria & Toivonen, Tuuli, 2013. "Modelling travel time in urban networks: comparable measures for private car and public transport," Journal of Transport Geography, Elsevier, vol. 31(C), pages 143-153.
    15. Ieda, Hitoshi & Kanayama, Yoichi & Ota, Masafumi & Yamazaki, Takashi & Okamura, Toshiyuki, 2001. "How can the quality of rail services in Tokyo be further improved?," Transport Policy, Elsevier, vol. 8(2), pages 97-106, April.
    16. 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.
    17. Scheiner, Joachim, 2010. "Interrelations between travel mode choice and trip distance: trends in Germany 1976–2002," Journal of Transport Geography, Elsevier, vol. 18(1), pages 75-84.
    18. van Lierop, Dea & El-Geneidy, Ahmed, 2016. "Enjoying loyalty: The relationship between service quality, customer satisfaction, and behavioral intentions in public transit," Research in Transportation Economics, Elsevier, vol. 59(C), pages 50-59.
    19. Sungyop Kim & Gudmundur Ulfarsson, 2008. "Curbing automobile use for sustainable transportation: analysis of mode choice on short home-based trips," Transportation, Springer, vol. 35(6), pages 723-737, November.
    20. Klein, Nicholas J. & Smart, Michael J., 2017. "Millennials and car ownership: Less money, fewer cars," Transport Policy, Elsevier, vol. 53(C), pages 20-29.
    21. David Metz, 2013. "Peak Car and Beyond: The Fourth Era of Travel," Transport Reviews, Taylor & Francis Journals, vol. 33(3), pages 255-270, May.
    22. Brown, Anne E., 2017. "Car-less or car-free? Socioeconomic and mobility differences among zero-car households," Transport Policy, Elsevier, vol. 60(C), pages 152-159.
    23. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    24. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    25. 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.
    26. Clark, Ben & Lyons, Glenn & Chatterjee, Kiron, 2016. "Understanding the process that gives rise to household car ownership level changes," Journal of Transport Geography, Elsevier, vol. 55(C), pages 110-120.
    27. 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.
    28. 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.
    29. Santos, Georgina & Maoh, Hanna & Potoglou, Dimitris & von Brunn, Thomas, 2013. "Factors influencing modal split of commuting journeys in medium-size European cities," Journal of Transport Geography, Elsevier, vol. 30(C), pages 127-137.
    30. Kent, Jennifer L., 2014. "Driving to save time or saving time to drive? The enduring appeal of the private car," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 103-115.
    31. Ryuichi Kitamura, 2009. "A dynamic model system of household car ownership, trip generation, and modal split: model development and simulation experiment," Transportation, Springer, vol. 36(6), pages 711-732, November.
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