Modeling determinants of ridesourcing usage: A census tract-level analysis of Chicago

Sharing behavior in ride-hailing trips: A machine learning inference approach

“…Chicago is one of the largest ride-hailing markets in the US, where ride-hailing make up about 3% of the total regional VMT (Balding et al, 2019). The publicly available ride-hailing data from the City of Chicago has provided an unpreceded opportunity for empirical understanding of ridehailing demand patterns (Ghaffar et al, 2020;Yan et al, 2020), relationship with transit services (Barajas and Brown, 2021), and neighborhood characteristics (Marquet, 2020). Since it has a unique feature of observing which trips were requested to be shared, recent studies with this data attempted to understand the determinants of WTS (Dean and Kockelman, 2021;Hou et al, 2020;Tu et al, 2021;Xu et al, 2021).…”

Does Ridesourcing Respond to Unplanned Rail Disruptions? A Natural Experiment Analysis of Mobility Resilience and Disparity

“…Looking at spatial use patterns, recent analyses of large-scale ridesourcing trip data reveal that several aggregate city-specific factors correlate with ridesourcing trip counts. Greater ridesourcing usage is shown to be positively correlated with population in Austin (Lavieri et al, 2018), Chicago (Ghaffar et al, 2020), and Los Angeles (Brown, 2019b), employment density in Austin (Lavieri et al, 2018), Chicago (Ghaffar et al, 2020), Los Angeles (Brown, 2019b), and New York City (Correa at al., 2017), and land-use diversity in Austin (Yu & Peng, 2019) and Chicago (Ghaffar et al, 2020), as well as lower household income in Los Angeles (Brown, 2019b) and zero-vehicle households and percentage transit commuters in Chicago (Ghaffar et al, 2020).…”

The Social, Economic, and Environmental Impacts of Ridesourcing Services: A Literature Review

“…For many people, parking is the main reason to substitute ridesourcing for personal driving [55]. TNCs can provide a mobility service to and from areas with low parking supply [104] because ridesourcing drivers never have to search for parking. Therefore, they can reduce overall VMT by eliminating wasteful driving, such as the search for parking at the end of trips [23,65].…”