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Title:

Examination of Traveler Responses to Real-Time Information About Bus Arrivals Using Panel Data

Accession Number:

01099506

Record Type:

Component

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Order URL: http://worldcat.org/isbn/9780309125994

Abstract:

In recent years, a considerable amount of money has been spent on intelligent transportation system projects for public transportation, most notably, real-time transit information systems. To date, strikingly few studies that have empirically investigated the effects of deployment of such a system have been completed. This paper examines the effects of real-time transit information on travelers’ behavior and psychology. The 2006–2007 University of Maryland (College Park) campus transportation panel survey data were used to examine how travelers responded to the ShuttleTrac system, a newly implemented real-time bus arrival information system for the university’s shuttle service. Two fixed-effects models and five random-effects-ordered probit models were estimated to sort out the causal relations between ShuttleTrac system information use and two behavioral and five psychological indicators, respectively. It was found that use of the real-time information significantly increased the riders’ feelings of security about riding the bus after dark and boosted their overall level of satisfaction. However, it was not found to significantly increase travelers’ shuttle trip frequency, at least in the short term, perhaps because of a lack of enough time for adjustment of travel behavior. These results suggest that although transit agencies and scholars should not be too optimistic about achieving an immediate ridership increase by providing real-time information to travelers, they can expect positive psychological responses from transit riders.

Monograph Accession #:

01119091

Language:

English

Authors:

Zhang, Feng
Shen, Qing
Clifton, Kelly J

Pagination:

pp 107-115

Publication Date:

2008

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2082
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309125994

Media Type:

Print

Features:

References (21) ; Tables (4)

Subject Areas:

Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Jan 29 2008 5:15PM

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