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Impacts of trip characteristics and weather condition on ride-sourcing network: Evidence from Uber and Lyft

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  • Shokoohyar, Sina
  • Sobhani, Ahmad
  • Sobhani, Anae

Abstract

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.

Suggested Citation

  • Shokoohyar, Sina & Sobhani, Ahmad & Sobhani, Anae, 2020. "Impacts of trip characteristics and weather condition on ride-sourcing network: Evidence from Uber and Lyft," Research in Transportation Economics, Elsevier, vol. 80(C).
    • Handle: RePEc:eee:retrec:v:80:y:2020:i:c:s0739885920300093
    DOI: 10.1016/j.retrec.2020.100820
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    More about this item

    Keywords

    Ride-sourcing platform; On-demand transportation; Ordinary least squares model; Adaption fare policy; Accessibility; Weather condition; Uber; Lyft;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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