IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v102y2022ics0966692322000801.html
   My bibliography  Save this article

A framework for estimating commute accessibility and adoption of ridehailing services under functional improvements from vehicle automation

Author

Listed:
  • Zou, Tianqi
  • Aemmer, Zack
  • MacKenzie, Don
  • Laberteaux, Ken

Abstract

This paper develops an analytical framework to estimate commute accessibility and adoption of various ridehailing service concepts across the US by synthesizing individual commute trips using national Longitudinal Employer-Household Dynamics Origin-Destination Employment Statistics (LODES) data. Focusing on potential improvements in cost and time that could be enabled by vehicle automation, we use this modeling framework to simulate a lower-price autonomous service (e.g., 50% or 75% lower) with variable wait times and implementation levels (solo, pooled, and first/last mile transit connections services, alone or in combination) to determine how they might affect adoption rates. These results are compared across metrics of accessibility and trip density, as well as socioeconomic factors such as household income. We find – unsurprisingly – that major cities (e.g. New York, Los Angeles, and Chicago) support the highest adoption rates for ridehailing services. Decreases in price tend to increase market share and accessibility. The effect of a decrease in price is more drastic for lower income groups. The proposed method for synthesizing trips using the LODES contributes to current travel demand forecasting methods and the proposed analytic framework can be flexibly implemented with any other mode choice model, extended to non-commute trips, or applied to different levels of geographic aggregation.

Suggested Citation

  • Zou, Tianqi & Aemmer, Zack & MacKenzie, Don & Laberteaux, Ken, 2022. "A framework for estimating commute accessibility and adoption of ridehailing services under functional improvements from vehicle automation," Journal of Transport Geography, Elsevier, vol. 102(C).
    • Handle: RePEc:eee:jotrge:v:102:y:2022:i:c:s0966692322000801
    DOI: 10.1016/j.jtrangeo.2022.103357
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692322000801
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2022.103357?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. Ahmed, Tanjeeb & Hyland, Michael & Sarma, Navjyoth J.S. & Mitra, Suman & Ghaffar, Arash, 2020. "Quantifying the employment accessibility benefits of shared automated vehicle mobility services: Consumer welfare approach using logsums," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 221-247.
    2. Roya Etminani-Ghasrodashti & Shima Hamidi, 2019. "Individuals’ Demand for Ride-hailing Services: Investigating the Combined Effects of Attitudinal Factors, Land Use, and Travel Attributes on Demand for App-based Taxis in Tehran, Iran," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    3. 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.
    4. Beckman, Richard J. & Baggerly, Keith A. & McKay, Michael D., 1996. "Creating synthetic baseline populations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(6), pages 415-429, November.
    5. Yap, Menno D. & Correia, Gonçalo & van Arem, Bart, 2016. "Preferences of travellers for using automated vehicles as last mile public transport of multimodal train trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 1-16.
    6. Jingya Gao & Andisheh Ranjbari & Don MacKenzie, 2019. "Would being driven by others affect the value of travel time? Ridehailing as an analogy for automated vehicles," Transportation, Springer, vol. 46(6), pages 2103-2116, December.
    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. Xiaoran Huang & Pixin Gong & Marcus White, 2022. "Study on Spatial Distribution Equilibrium of Elderly Care Facilities in Downtown Shanghai," IJERPH, MDPI, vol. 19(13), pages 1-17, 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. Lee, Jaehyung & Lee, Euntak & Yun, Jaewoong & Chung, Jin-Hyuk & Kim, Jinhee, 2021. "Latent heterogeneity in autonomous driving preferences and in-vehicle activities by travel distance," Journal of Transport Geography, Elsevier, vol. 94(C).
    2. Chen, Zhiwei & Guo, Yujie & Stuart, Amy L. & Zhang, Yu & Li, Xiaopeng, 2019. "Exploring the equity performance of bike-sharing systems with disaggregated data: A story of southern Tampa," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 529-545.
    3. Rashidi, Taha Hossein & Waller, Travis & Axhausen, Kay, 2020. "Reduced value of time for autonomous vehicle users: Myth or reality?," Transport Policy, Elsevier, vol. 95(C), pages 30-36.
    4. Ahmed, Tanjeeb & Hyland, Michael & Sarma, Navjyoth J.S. & Mitra, Suman & Ghaffar, Arash, 2020. "Quantifying the employment accessibility benefits of shared automated vehicle mobility services: Consumer welfare approach using logsums," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 221-247.
    5. Benoît Lécureux & Adrien Bonnet & Ouassim Manout & Jaâfar Berrada & Louafi Bouzouina, 2022. "Acceptance of Shared Autonomous Vehicles: A Literature Review of stated choice experiments," Working Papers hal-03814947, HAL.
    6. Singer, Matan E. & Cohen-Zada, Aviv L. & Martens, Karel, 2022. "Core versus periphery: Examining the spatial patterns of insufficient accessibility in U.S. metropolitan areas," Journal of Transport Geography, Elsevier, vol. 100(C).
    7. Jen-Jia Lin & Chi-Hau Chen & Tsung-Yu Hsieh, 2016. "Job accessibility and ethnic minority employment in urban and rural areas in Taiwan," Papers in Regional Science, Wiley Blackwell, vol. 95(2), pages 363-382, June.
    8. Susan M. Rogers & James Rineer & Matthew D. Scruggs & William D. Wheaton & Phillip C. Cooley & Douglas J. Roberts & Diane K. Wagener, 2014. "A Geospatial Dynamic Microsimulation Model for Household Population Projections," International Journal of Microsimulation, International Microsimulation Association, vol. 7(2), pages 119-146.
    9. Liliana Andrei & Oana Luca & Florian Gaman, 2022. "Insights from User Preferences on Automated Vehicles: Influence of Socio-Demographic Factors on Value of Time in Romania Case," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    10. Lavoie, Brenden & Ong, Felita & Habib, Khandker Nurul, 2024. "Relax on the way to work or work on the way to relax? Influences of vehicle interior on travel time perceptions in autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    11. Zhu, Zheng & Qin, Xiaoran & Ke, Jintao & Zheng, Zhengfei & Yang, Hai, 2020. "Analysis of multi-modal commute behavior with feeding and competing ridesplitting services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 713-727.
    12. McQueen, Michael & Clifton, Kelly J., 2022. "Assessing the perception of E-scooters as a practical and equitable first-mile/last-mile solution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 395-418.
    13. Wang, Senlei & Correia, Gonçalo Homem de Almeida & Lin, Hai Xiang, 2022. "Modeling the competition between multiple Automated Mobility on-Demand operators: An agent-based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    14. Hao Yin & Elisabetta Cherchi, 2024. "Willingness to pay for automated taxis: a stated choice experiment to measure the impact of in-vehicle features and customer reviews," Transportation, Springer, vol. 51(1), pages 51-72, February.
    15. Christopher L Burdett & Brian R Kraus & Sarah J Garza & Ryan S Miller & Kathe E Bjork, 2015. "Simulating the Distribution of Individual Livestock Farms and Their Populations in the United States: An Example Using Domestic Swine (Sus scrofa domesticus) Farms," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-21, November.
    16. Dewulf, Bart & Neutens, Tijs & Vanlommel, Mario & Logghe, Steven & De Maeyer, Philippe & Witlox, Frank & De Weerdt, Yves & Van de Weghe, Nico, 2015. "Examining commuting patterns using Floating Car Data and circular statistics: Exploring the use of new methods and visualizations to study travel times," Journal of Transport Geography, Elsevier, vol. 48(C), pages 41-51.
    17. Sean F. Reardon & Lindsay Fox & Joseph Townsend, 2015. "Neighborhood Income Composition by Household Race and Income, 1990–2009," The ANNALS of the American Academy of Political and Social Science, , vol. 660(1), pages 78-97, July.
    18. Hudson, John & Orviska, Marta & Hunady, Jan, 2019. "People’s attitudes to autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 164-176.
    19. Craig A. Talmage & Chad Frederick, 2019. "Quality of Life, Multimodality, and the Demise of the Autocentric Metropolis: A Multivariate Analysis of 148 Mid-Size U.S. Cities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 365-390, January.
    20. Ming Yi & Achla Marathe, 2013. "Policy Trap and Optimal Subsidization Policy under Limited Supply of Vaccines," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-9, July.

    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:102:y:2022:i:c:s0966692322000801. 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.