IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v87y2020ics0966692319310798.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692319310798
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2020.102817?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Eric Miller & Matthew Roorda & Juan Carrasco, 2005. "A tour-based model of travel mode choice," Transportation, Springer, vol. 32(4), pages 399-422, July.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    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. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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..
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    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. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. David Metz, 2013. "Peak Car and Beyond: The Fourth Era of Travel," Transport Reviews, Taylor & Francis Journals, vol. 33(3), pages 255-270, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chakrabarti, Sandip, 2022. "Passively wait for gridlock, or proactively invest in service? Strategies to promote car-to-transit switches among aspirational urbanites in rapidly developing contexts," Transport Policy, Elsevier, vol. 115(C), pages 251-261.
    2. Masanobu Kii & Yuki Goda & Varameth Vichiensan & Hiroyuki Miyazaki & Rolf Moeckel, 2021. "Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand," Sustainability, MDPI, vol. 13(12), pages 1-16, June.
    3. Ahmed Derbel & Younes Boujelbene, 2023. "Performance classification of Tunisian public transport operators," Public Transport, Springer, vol. 15(2), pages 535-574, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ha, Jaehyun & Lee, Sugie & Ko, Joonho, 2020. "Unraveling the impact of travel time, cost, and transit burdens on commute mode choice for different income and age groups," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 147-166.
    2. Vega-Gonzalo, Maria & Gomez, Juan & Christidis, Panayotis, 2023. "How has COVID-19 changed private car use in European urban areas? An analysis of the effect of socio-economic characteristics and mobility habits," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    3. 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.
    4. Zhang, Guozheng & Wang, Dianhai & Cai, Zhengyi & Zeng, Jiaqi, 2024. "Competitiveness of public transit considering travel time reliability: A case study for commuter trips in Hangzhou, China," Journal of Transport Geography, Elsevier, vol. 114(C).
    5. Ko, Joonho & Lee, Sugie & Byun, Miree, 2019. "Exploring factors associated with commute mode choice: An application of city-level general social survey data," Transport Policy, Elsevier, vol. 75(C), pages 36-46.
    6. Urbanek, Anna, 2021. "Potential of modal shift from private cars to public transport: A survey on the commuters’ attitudes and willingness to switch – A case study of Silesia Province, Poland," Research in Transportation Economics, Elsevier, vol. 85(C).
    7. Hu, Lingqian & Schneider, Robert J., 2017. "Different ways to get to the same workplace: How does workplace location relate to commuting by different income groups?," Transport Policy, Elsevier, vol. 59(C), pages 106-115.
    8. Eldeeb, Gamal & Mohamed, Moataz & Páez, Antonio, 2021. "Built for active travel? Investigating the contextual effects of the built environment on transportation mode choice," Journal of Transport Geography, Elsevier, vol. 96(C).
    9. Lussier-Tomaszewski, P. & Boisjoly, G., 2021. "Thinking regional and acting local: Assessing the joint influence of local and regional accessibility on commute mode in Montreal, Canada," Journal of Transport Geography, Elsevier, vol. 90(C).
    10. Bhat, Chandra R. & Mondal, Aupal, 2022. "A New Flexible Generalized Heterogeneous Data Model (GHDM) with an Application to Examine the Effect of High Density Neighborhood Living on Bicycling Frequency," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 244-266.
    11. Wang, Xiaoquan & Yin, Chaoying & Zhang, Junyi & Shao, Chunfu & Wang, Shengyou, 2021. "Nonlinear effects of residential and workplace built environment on car dependence," Journal of Transport Geography, Elsevier, vol. 96(C).
    12. 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.
    13. 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.
    14. Zhang, Yixue & Zhao, Pengjun & Lin, Jen-Jia, 2021. "Exploring shopping travel behavior of millennials in Beijing: Impacts of built environment, life stages, and subjective preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 49-60.
    15. Qihao Liu & Yuzheng Liu & Chia-Lin Chen & Enrica Papa & Yantao Ling & Mengqiu Cao, 2023. "Is It Possible to Compete With Car Use? How Buses Can Facilitate Sustainable Transport," Urban Planning, Cogitatio Press, vol. 8(3), pages 69-83.
    16. Ali Enes Dingil & Federico Rupi & Domokos Esztergár-Kiss, 2021. "An Integrative Review of Socio-Technical Factors Influencing Travel Decision-Making and Urban Transport Performance," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    17. Deka, Devajyoti & Carnegie, Jon, 2021. "Predicting transit mode choice of New Jersey workers commuting to New York City from a stated preference survey," Journal of Transport Geography, Elsevier, vol. 91(C).
    18. Mingwei He & Jianbo Li & Zhuangbin Shi & Yang Liu & Chunyan Shuai & Jie Liu, 2022. "Exploring the Nonlinear and Threshold Effects of Travel Distance on the Travel Mode Choice across Different Groups: An Empirical Study of Guiyang, China," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    19. Maurici Ruiz-Pérez & Joana Maria Seguí-Pons, 2020. "Transport Mode Choice for Residents in a Tourist Destination: The Long Road to Sustainability (the Case of Mallorca, Spain)," Sustainability, MDPI, vol. 12(22), pages 1-31, November.
    20. Guan, Xiaodong & Wang, Donggen, 2019. "Influences of the built environment on travel: A household-based perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 710-724.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jotrge:v:87:y:2020:i:c:s0966692319310798. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.