Why do people change routes? Impact of information services

Purpose - The aim of this study is to identify factors that influence drivers' route choice response to travel time information about both the expressway and local streets provided by variable message signs on arterial roads.Design methodology approach - A stated preference questionnaire survey...

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Bibliographic Details
Published in:Industrial management + data systems 2013-01, Vol.113 (3), p.403-422
Main Authors: Gan, Hong-Cheng, Bai, Yang, Wei, June
Format: Article
Language:English
Subjects:
Behavior
Cities
Correlation
Delay
Drivers
Dynamic tests
Efficiency
Expressways
Germanium
Information services
Information systems
Mathematical models
Questionnaires
Roads & highways
Route choice
Streets
Studies
Traffic
Traffic congestion
Traffic control
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Summary:Purpose - The aim of this study is to identify factors that influence drivers' route choice response to travel time information about both the expressway and local streets provided by variable message signs on arterial roads.Design methodology approach - A stated preference questionnaire survey was conducted to collect behavioral data. The generalized estimating equations (GEEs) method with a logit link function was used to model driver response and account for correlations within repeated observations from the same respondent. Four GEEs-based estimations with different working correlation structures were conducted and compared with each other as well as the conventional maximum likelihood estimation.Findings - Driving experiences, expressway delays, causes of delay, and the number of traffic lights on local streets are factors influencing route choice decisions. A new finding is that there exist differences in response behavior among employer-provided car, taxi and private car drivers. On the modeling aspect, the exchangeable structure was the most appropriate in this study.Research limitations implications - This study indicates the effectiveness and appropriateness of the GEEs method and suggests further examination of GEEs' performance.Practical implications - The route choice probability model established by this study will facilitate better investment, design and assessment of dynamic information services in transportation management.Originality value - The dynamic information this study concerns has rarely been addressed in the literature. Little literature to date has applied the GEEs method in information response modeling. This study reaches solider conclusions about the GEEs method.
ISSN:0263-5577
1758-5783
DOI:10.1108/02635571311312686