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On Ridesharing Competition and Accessibility: Evidence from Uber, Lyft, and Taxi

Authors:

Christo WilsonAuthors Info & Claims

WWW '18: Proceedings of the 2018 World Wide Web Conference

Pages 863 - 872

https://doi.org/10.1145/3178876.3186134

Published: 23 April 2018 Publication History

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Abstract

Ridesharing services such as Uber and Lyft have become an important part of the Vehicle For Hire (VFH) market, which used to be dominated by taxis. Unfortunately, ridesharing services are not required to share data like taxi services, which has made it challenging to compare the competitive dynamics of these services, or assess their impact on cities. In this paper, we comprehensively compare Uber, Lyft, and taxis with respect to key market features (supply, demand, price, and wait time) in San Francisco and New York City. Based on point pattern statistics, we develop novel statistical techniques to validate our measurement methods. Using spatial lag models, we investigate the accessibility of VFH services, and find that transportation infrastructure and socio-economic features have substantial effects on VFH market features.

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Index Terms

On Ridesharing Competition and Accessibility: Evidence from Uber, Lyft, and Taxi

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cover image ACM Other conferences

WWW '18: Proceedings of the 2018 World Wide Web Conference

April 2018

2000 pages

ISBN:9781450356398

General Chairs:
Pierre-Antoine Champin
Universitè Claude Bernard Lyon 1, France
,
Fabien Gandon
Inria, Université Côte d'Azur, CNRS, I3S, France
,
Lionel Médini
Université Claude Bernard Lyon 1, France
,
Program Chairs:
Mounia Lalmas
Spotify, UK
,
Panagiotis G. Ipeirotis
New York University, USA

Copyright © 2018 ACM.

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Published: 23 April 2018

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WWW '18

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WWW '18: The Web Conference 2018

April 23 - 27, 2018

Lyon, France

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WWW '18 Paper Acceptance Rate 170 of 1,155 submissions, 15%;

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

Zhang DHartline JHullman J(2024)Designing Shared Information Displays for Agents of Varying Strategic SophisticationProceedings of the ACM on Human-Computer Interaction10.1145/36373198:CSCW1(1-34)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637319
Sahebdel MZeynali ABashir NShenoy PHajiesmaili M(2024)A Holistic Approach for Equity-aware Carbon Reduction of the Ridesharing PlatformsProceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems10.1145/3632775.3639586(361-372)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3632775.3639586
Gao FHao JLi ZHan CTang JZhao C(2024)Understanding inequality in ride-hailing service: an investigation of matching and pickup timeTransportation10.1007/s11116-024-10495-4Online publication date: 26-Jun-2024
https://doi.org/10.1007/s11116-024-10495-4
Zhou WLi XShi ZYang BChen D(2023)Impact of Carpooling under Mobile Internet on Travel Mode Choices and Urban Traffic Volume: The Case of ChinaSustainability10.3390/su1508659515:8(6595)Online publication date: 13-Apr-2023
https://doi.org/10.3390/su15086595
Luo MDu BZhang WSong TLi KZhu HBirkin MWen H(2023)Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-Agent Deep Reinforcement Learning ApproachIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2022.323342224:4(3868-3881)Online publication date: Apr-2023
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Ni LSun BTan XTsang D(2023)Mobility and Energy Management in Electric Vehicle Based Mobility-on-Demand Systems: Models and SolutionsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2022.323143524:4(3702-3713)Online publication date: Apr-2023
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Nguyen MKim SYun SPark SHeo J(2023)An efficient data-driven method to construct dynamic service areas from large-scale taxi location dataJournal of Intelligent Transportation Systems10.1080/15472450.2023.2289123(1-17)Online publication date: 6-Dec-2023
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Zhou CLi XChen L(2023)Impact of negotiation on subsidy scheme to incentivise the integrated use of metro and ride-hailing servicesInternational Journal of Logistics Research and Applications10.1080/13675567.2023.2205115(1-21)Online publication date: 24-Apr-2023
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Kim JTak SLee JYeo H(2023)Integrated design framework for on-demand transit system based on spatiotemporal mobility patternsTransportation Research Part C: Emerging Technologies10.1016/j.trc.2023.104087150(104087)Online publication date: May-2023
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