An empirical analysis of on-demand ride sharing and traffic congestion

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

Sharing economy, which leverages information technology to re-distribute unused or underutilized assets to people who are willing to pay for the services, has received tremendous attention in the last few years. Its creative business model has disrupted many traditional industries (e.g., transportation, hotel) by fundamentally changing the mechanism to facilitate the matching of demand with supply in real time. In this research, we investigate how Uber, a peer-to-peer mobile ride-sharing platform, affects traffic congestion in the urban areas of the United States. Combining data from Uber and the Urban Mobility Report, we empirically examine whether and how the entry of Uber car services affect traffic congestion using a difference-in-difference framework. Findings from this research provide evidence on the potential effect of ride sharing services in the transportation industry, contributing to the understanding of the sharing economy and government policy decisions.

Original languageEnglish (US)
Title of host publication2016 International Conference on Information Systems, ICIS 2016
PublisherAssociation for Information Systems
ISBN (Electronic)9780996683135
StatePublished - 2016
Event2016 International Conference on Information Systems, ICIS 2016 - Dublin, Ireland
Duration: Dec 11 2016Dec 14 2016

Other

Other2016 International Conference on Information Systems, ICIS 2016
CountryIreland
CityDublin
Period12/11/1612/14/16

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Keywords

  • Difference in difference
  • Induced demand
  • Platforms
  • Ride sharing
  • Sharing economy
  • Traffic congestion
  • Uber

ASJC Scopus subject areas

  • Information Systems

Cite this

Li, Z., Hong, Y., & Zhang, Z. (2016). An empirical analysis of on-demand ride sharing and traffic congestion. In 2016 International Conference on Information Systems, ICIS 2016 Association for Information Systems.