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The impact of automated transit, pedestrian, and bicycling facilities on urban travel patterns

Author

Listed:
  • Jonathan Levine
  • Moira Zellner
  • María Arquero de Alarcón
  • Yoram Shiftan
  • Dean Massey

Abstract

This article reports on an integrated modeling exercise, conducted on behalf of the US Federal Highway Administration, on the potential for frequent automated transit shuttles (‘community transit’), in conjunction with improvements to the walking and cycling environment, to overcome the last-mile problem of regional rail transit and thereby divert travelers away from car use. A set of interlocking investigations was undertaken, including development of urban visualizations, distribution of a home-based survey supporting a stated-preference model of mode choice, development of an agent-based model, and alignment of the mode-choice and agent-based models. The investigations were designed to produce best-case estimates of the impact of community transit and ancillary improvements in reducing car use. The models in combination suggested significant potential to divert drivers, especially in areas that were relatively transit-poor to begin with.

Suggested Citation

  • Jonathan Levine & Moira Zellner & María Arquero de Alarcón & Yoram Shiftan & Dean Massey, 2018. "The impact of automated transit, pedestrian, and bicycling facilities on urban travel patterns," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(5), pages 463-480, July.
    • Handle: RePEc:taf:transp:v:41:y:2018:i:5:p:463-480
    DOI: 10.1080/03081060.2018.1468968
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    Cited by:

    1. Zacharias, John & Meng, Si'an, 2021. "Environmental correlates of dock-less shared bicycle trip origins and destinations," Journal of Transport Geography, Elsevier, vol. 92(C).
    2. Zannat, Khatun E. & Laudan, Janek & Choudhury, Charisma F. & Hess, Stephane, 2024. "Developing an agent-based microsimulation for predicting the Bus Rapid Transit (BRT) demand in developing countries: A case study of Dhaka, Bangladesh," Transport Policy, Elsevier, vol. 148(C), pages 92-106.
    3. Li, Qiaoru & Wang, Yuanyuan & Li, Kun & Chen, Liang & Wei, Zhenlin, 2019. "Evolutionary dynamics of the last mile travel choice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    4. Faisal, Asif & Yigitcanlar, Tan & Paz, Alexander, 2023. "Understanding driverless car adoption: Random parameters ordered probit model for Brisbane, Melbourne and Sydney," Journal of Transport Geography, Elsevier, vol. 110(C).
    5. Emma McDougall & Brian Doucet, 2022. "Polarized Paths: ‘Selling’ Cycling in City and Suburb," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 113(2), pages 179-193, April.
    6. Shamshiripour, Ali & Rahimi, Ehsan & (Kouros) Mohammadian, Abolfazl & Auld, Joshua, 2020. "Investigating the influence of latent lifestyles on productive travels: Insights into designing autonomous transit system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 469-484.

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