Global Disruptions in the Transportation Sector: The Effect of Ridehailing Services and the COVID-19 Pandemic
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Global Disruptions in the Transportation Sector: The Effect of Ridehailing Services and the COVID-19 Pandemic

Filetype[PDF-1.37 MB]


English
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  • Creators:
    Malik, Jai
  • Corporate Creators:
    University of California, Davis
  • Subject/TRT Terms:
  • Resource Type:
    Dissertation
  • Geographical Coverage:
  • Corporate Publisher:
    University of California, Davis
  • Abstract:
    In this study we explore the factors that affect the use of ridehailing services (Uber, Lyft) as well as adoption of shared (pooled) ridehailing (UberPOOL, Lyft Share) using data collected in California in fall 2018 using cross-sectional travel surveys. We estimate a semi-ordered bivariate probit model using this dataset. Among other findings, the model results show that better-educated, younger individuals who currently work or work and study are more likely to use shared ridehailing services compared to other individuals, and in particular members of older cohorts. Being white and living in a higher-income household is associated with a higher likelihood of being a frequent user of regular ridehailing but does not have statistically significant effects on the likelihood of adopting shared ridehailing. With respect to the factors limiting the use of shared ridehailing services, we found that increased travel time and lack of privacy decreases the likelihood of adoption of shared ridehailing. We also find evidence that some land use features affect the likelihood of using both types of services. While the likelihood of using both ridehailing and shared ridehailing is higher in urban areas, residents of neighborhoods with higher intersection density are found to be more likely to only adopt shared ridehailing. However, some of the land-use variables become insignificant after introducing individuals’ attitudes related to land-use into the model. This is an indication of residential self-selection, and the potential risk of attributing impacts to land-use features if individual attitudes are not explicitly controlled for.
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