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The car ownership puzzle: Deconstructing the role of parking, sprawl, and mobility

Distinguished Research Seminar Series

20260529Xinyu Cao Event image
  • Date

    29 May 2026

  • Organiser

    Department of Industrial and Systems Engineering, PolyU

  • Time

    11:00 - 12:00

  • Venue

    BC303  

Speaker

Prof. Xinyu Cao

Remarks

If you have enquiries regarding E-certificate after the seminar, please contact david.kuo@polyu.edu.hk.

20260529Xinyu Cao poster

Summary

While many studies have explored the relationship between the built environment and car ownership, few have simultaneously considered the contribution of parking. This omission raises concerns about omitted variable bias, resulting in potentially misleading planning strategies. This study jointly examined the influences of the built environment, parking, and mobility options on commuters’ probability of owning cars, applying gradient boosting decision trees to data collected from Xi’an in 2019. The results showed that although parking supply and costs are important to car ownership, their predictive contribution becomes negligible once other built environment variables are controlled. Crucially, omitting parking variables does not significantly change the influence of important built environment variables. Beyond parking, distance from home and the workplace to the city center, bus stop density, and E-bike ownership are key predictors of car ownership. These findings suggest a policy hierarchy: directing growth inward acts as the foundation, alternative transportation options serve as “carrots”, and parking policies function as “sticks”

Keynote Speaker

Prof. Xinyu Cao

Prof. Xinyu Cao

Professor
Humphrey School of Public Affairs, University of Minnesota, Twin Cities, US

Dr. Xinyu (Jason) Cao is a professor at the Humphrey School of Public Affairs at the University of Minnesota, Twin Cities.  He specializes in land use and transportation interaction and planning for quality of life.  Dr. Cao is internationally recognized for his research on residential self-selection in the relationship between the built environment and travel behavior.  He is currently pioneering the use of machine learning in land use and transportation studies, as well as advancing satisfaction research.  According to the Stanford-Elsevier Top 2% Scientists list, Dr. Cao is among the 25 top-cited career-long scholars in the subfield of Logistics and Transportation.  Dr. Cao serves as the Editor-in-Chief of Transportation Research Today and an associate editor for Transport Policy and Journal of Planning Education and Research. He was Co-Editor-in-Chief of Transportation Research Part D and the Chair of International Association for China Planning (IACP). Dr. Cao holds degrees from the University of California, Davis and Tsinghua University.

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