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Examining the Relationship between Household Vehicle Ownership and Ridesharing Behaviors in the United States

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  • Yuanyuan Zhang

    (School of Management, Shandong University, Jinan 250100, China
    Stern School of Business, New York University, New York, NY 10012, USA)

  • Yuming Zhang

    (School of Management, Shandong University, Jinan 250100, China)

Abstract

To improve the sustainability and efficiency of transport systems, communities and government agencies throughout the United States (US) are looking for ways to reduce vehicle ownership and single-occupant trips by encouraging people to shift from driving to using more sustainable transport modes (such as ridesharing). Ridesharing is a cost-effective, sustainable and effective alternative transportation mode that is beneficial to the environment, the economy and society. Despite the potential effect of vehicle ownership on the adoption of ridesharing services, individuals’ ridesharing behaviors and the interdependencies between vehicle ownership and ridesharing usage are not well understood. This study aims to fill the gap by examining the associations between household vehicle ownership and the frequency and probability of ridesharing usage, and to estimate the effects of household vehicle ownership on individuals’ ridesharing usage in the US. We conducted zero-inflated negative binomial regression models using data from the 2017 National Household Travel Survey. The results show that, in general, one-vehicle reduction in households was significantly associated with a 7.9% increase in the frequency of ridesharing usage and a 23.0% increase in the probability of ridesharing usage. The effects of household vehicle ownership on the frequency of ridesharing usage are greater for those who live in areas with a higher population density than those living in areas with a lower population density. Young people, men, those who are unable to drive, individuals with high household income levels, and those who live in areas with rail service or a higher population density, tend to use ridesharing more frequently and are more likely to use it. These findings can be used as guides for planners or practitioners to better understand individuals’ ridesharing behaviors, and to identify policies and interventions to increase the potential of ridesharing usage, and to decrease household vehicle ownership, depending on different contextual features and demographic variables. Comprehensive strategies that limit vehicle ownership and address the increasing demand for ridesharing have the potential to improve the sustainability of transportation systems.

Suggested Citation

  • Yuanyuan Zhang & Yuming Zhang, 2018. "Examining the Relationship between Household Vehicle Ownership and Ridesharing Behaviors in the United States," Sustainability, MDPI, vol. 10(8), pages 1-24, August.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2720-:d:161525
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    4. Ye Ma & Biying Yu & Meimei Xue, 2018. "Spatial Heterogeneous Characteristics of Ridesharing in Beijing–Tianjin–Hebei Region of China," Energies, MDPI, vol. 11(11), pages 1-21, November.
    5. Eva Malichová & Ghadir Pourhashem & Tatiana Kováčiková & Martin Hudák, 2020. "Users’ Perception of Value of Travel Time and Value of Ridesharing Impacts on Europeans’ Ridesharing Participation Intention: A Case Study Based on MoTiV European-Wide Mobility and Behavioral Pattern ," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    6. Dawei Li & Yuchen Song & Dongjie Liu & Qi Cao & Junlan Chen, 2023. "How carpool drivers choose their passengers in Nanjing, China: effects of facial attractiveness and credit," Transportation, Springer, vol. 50(3), pages 929-958, June.
    7. Lars E. Olsson & Raphaela Maier & Margareta Friman, 2019. "Why Do They Ride with Others? Meta-Analysis of Factors Influencing Travelers to Carpool," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    8. Andrei Boar & Ramon Bastida & Frederic Marimon, 2020. "A Systematic Literature Review. Relationships between the Sharing Economy, Sustainability and Sustainable Development Goals," Sustainability, MDPI, vol. 12(17), pages 1-14, August.
    9. Zou, Zhenpeng & Cirillo, Cinzia, 2021. "Does ridesourcing impact driving decisions: A survey weighted regression analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 1-12.
    10. Elisa Borowski & Jason Soria & Joseph Schofer & Amanda Stathopoulos, 2020. "Disparities in ridesourcing demand for mobility resilience: A multilevel analysis of neighborhood effects in Chicago, Illinois," Papers 2010.15889, arXiv.org.
    11. 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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