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An alternative to slow transit, drunk driving, and walking in bad weather: An exploratory study of ridesourcing mode choice and demand

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  • Goodspeed, Robert
  • Xie, Tian
  • Dillahunt, Tawanna R.
  • Lustig, Josh

Abstract

Companies providing ridesourcing, or the use of mobile phone apps to request rides from drivers of privately-owned vehicles, have expanded rapidly in many cities in recent years. To shed light on this phenomenon, this paper reports an exploratory study of ridesourcing trip patterns and mode choice in Washtenaw County, Michigan, USA, which obtained a convenience sample of 167 respondents (reporting 192 trips) via geographically targeted online and offline ads. Consistent with previous empirical studies, ridesharing users are younger and a greater percentage are female than the the general public, and most trips occur in a small number of high density block groups. When asked what other options were available for ridesourcing trips, respondents reported transit (63%), private vehicles (32%), walking (32%) and bicycling (18%). Specific reasons for choosing ridesourcing instead of these options included the frequency of transit, alcohol use for driving, and weather and distance for walking and biking. A multivariate analysis found variables related to greater ridesourcing use for a block group included job density, jobs-housing balance, bar and restaurant density, and presence of households without vehicles. The paper demonstrates the potential of survey data to generate greater geographic insights into ridesourcing use, as well as the potential for extending established travel-behavior research approaches to ridesourcing.

Suggested Citation

  • Goodspeed, Robert & Xie, Tian & Dillahunt, Tawanna R. & Lustig, Josh, 2019. "An alternative to slow transit, drunk driving, and walking in bad weather: An exploratory study of ridesourcing mode choice and demand," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    • Handle: RePEc:eee:jotrge:v:79:y:2019:i:c:18
    DOI: 10.1016/j.jtrangeo.2019.102481
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    References listed on IDEAS

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    Cited by:

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    3. Ong, Felita & Loa, Patrick & Nurul Habib, Khandker, 2024. "Ride-sourcing demand in Metro Vancouver: Looking through the lens of disability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    4. Maria Vega-Gonzalo & Álvaro Aguilera-García & Juan Gomez & José Manuel Vassallo, 2024. "Traditional taxi, e-hailing or ride-hailing? A GSEM approach to exploring service adoption patterns," Transportation, Springer, vol. 51(4), pages 1239-1278, August.
    5. Jayita Chakraborty & Debapratim Pandit & Jianhong Xia & Felix Chan, 2024. "Modeling the decision of ridesourcing drivers to park and wait at trip ends: a comparison between Perth, Australia and Kolkata, India," Transportation, Springer, vol. 51(3), pages 1089-1124, June.
    6. Ting Wang & Yong Zhang & Meiye Li & Lei Liu, 2019. "How Do Passengers with Different Using Frequencies Choose between Traditional Taxi Service and Online Car-Hailing Service? A Case Study of Nanjing, China," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    7. Aguilera-García, Álvaro & Gomez, Juan & Velázquez, Guillermo & Vassallo, Jose Manuel, 2022. "Ridesourcing vs. traditional taxi services: Understanding users’ choices and preferences in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 161-178.
    8. Isabella Yunfei Zeng & Jingrui Chen & Ziheng Niu & Qingfei Liu & Tian Wu, 2022. "The GHG Emissions Assessment of Online Car-Hailing Development under the Intervention of Evaluation Policies in China," Sustainability, MDPI, vol. 14(3), pages 1-25, February.
    9. Burghard, Uta & Scherrer, Aline, 2022. "Sharing vehicles or sharing rides - Psychological factors influencing the acceptance of carsharing and ridepooling in Germany," Energy Policy, Elsevier, vol. 164(C).

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