Impacts of trip characteristics and weather condition on ride-sourcing network: Evidence from Uber and Lyft
Ahmad Sobhani and
Research in Transportation Economics, 2020, vol. 80, issue C
This paper evaluates the impact of intracity routes and weather conditions on pick-up waiting time, trip duration, and ride fare with a focus on the ride-sourcing mode in the city of Philadelphia, in the U.S. For our analysis, ride estimate data has been collected from Uber and Lyft developers’ Application Program Interfaces (API), and weather information has been collected from Yahoo weather API during summer 2018. It should be noted that the generated trips for both ride-sourcing services are for solo and pool rides. Time fixed effect ordinary least squares model was adopted in this paper for analysis purposes.
Keywords: Ride-sourcing platform; On-demand transportation; Ordinary least squares model; Adaption fare policy; Accessibility; Weather condition; Uber; Lyft (search for similar items in EconPapers)
JEL-codes: C10 D40 R40 R41 (search for similar items in EconPapers)
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