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Xiaodong Qian
Researcher at University of California, Davis
Publications - 15
Citations - 149
Xiaodong Qian is an academic researcher from University of California, Davis. The author has contributed to research in topics: Metropolitan area & Computer science. The author has an hindex of 5, co-authored 11 publications receiving 53 citations.
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Journal ArticleDOI
Bikesharing, equity, and disadvantaged communities: A case study in Chicago
Xiaodong Qian,Miguel Jaller +1 more
TL;DR: In this paper, the authors developed a negative binomial regression model to estimate bikeshare ridership using data from Chicago's bikhare system and found that the proportion of trips by annual members is significantly lower in disadvantaged communities than in other areas.
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What travel modes do shared e-scooters displace? A review of recent research findings
TL;DR: In this article , the authors provide a review of the literature for modal shifts in the US and other countries, and show that people use shared e-scooters in place of cars at substantial rates, especially in many US cities.
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Enhancing equitable service level: Which can address better, dockless or dock-based Bikeshare systems?
TL;DR: It is found that dockless systems can provide greater availability of bikes for CoCs than for other communities, attracting more trip demand in these communities because of a larger service area and frequent bike rebalancing practices.
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High impact prioritization of bikeshare program investment to improve disadvantaged communities' access to jobs and essential services
Xiaodong Qian,Debbie A. Niemeier +1 more
TL;DR: In this article, the authors use a newly developed spatial index that combines the potential for increased access to jobs and essential services, the level of bike infrastructure, and the disadvantaged population shares, and find evidence that existing bikeshare systems have been specifically designed to target certain ridership.
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Awareness, departure, and preparation time in no-notice wildfire evacuations
TL;DR: In this article, the authors examine the factors associated with the initial wildfire awareness time, the evacuation preparation time, and finally the departure time and find that quicker awareness is associated with seeing the fire first-hand, familiarity with local evacuation protocol, smartphone ownership, among others.