Cookies?
Library Header Image
LSE Research Online LSE Library Services

On intelligent transportation systems and road congestion

Cheng, Aaron Cheng, Pang, Min Seok and Pavlou, Paul A. (2016) On intelligent transportation systems and road congestion. In: 2016 International Conference on Information Systems: ICIS 2016. International Conference on Information Systems (ICIS) proceedings (2016). AIS, IRL. ISBN 9780996683135

Full text not available from this repository.

Abstract

Despite substantial investments in transportation infrastructures, road congestion in urban areas has not abated. While there is a growing interest among policymakers in intelligent transportation systems (ITS), the role of ITS in road congestion has not been established. To investigate the effect of ITS on road congestion, we utilized a unique dataset on traffic and ITS adoption from 99 U.S. urban areas in 2001-2008. The results from fixed-effects estimations show that ITS adoption reduces road congestion, saving an average driver 98 minutes of driving time and $38 per year. We also obtained preliminary evidence that ITS reduces carbon emissions by alleviating road congestion. Our findings extend the emerging IS literature on IT value in the public sector and the societal impacts of IT. Our study also contributes to the transportation economics literature and informs transportation policymakers by showing that ITS could be a cost-effective alternative to tackle road congestion.

Item Type: Book Section
Official URL: https://aisel.aisnet.org/icis2016/
Additional Information: © 2016 The Authors
Divisions: Management
Subjects: H Social Sciences > HE Transportation and Communications
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Date Deposited: 08 Jan 2020 10:48
Last Modified: 20 May 2020 01:39
URI: http://eprints.lse.ac.uk/id/eprint/103015

Actions (login required)

View Item View Item