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

Li, Ziru and Hong, Yili and Zhang, Zhongju (2016) An empirical analysis of on ride demand ride sharing and traffic congestion. International Conference On Information (ICIS).

An Empirical Analysis of On-demand Ride Sharing and Traffic Conge.pdf

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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

Item Type: Article
Subjects: H Social Sciences > HB Economic Theory
H Social Sciences > HC Economic History and Conditions
T Technology > T Technology (General)
Divisions: Faculty of Industrial Engineering and Informatics > Information System
Depositing User: staff repository 3
Date Deposited: 03 Aug 2018 13:54
Last Modified: 03 Aug 2018 13:54

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