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The Impact of Real-Time Information on Choices During the Commute Trip: Evidence from a Travel Simulator

21 Pages Posted: 11 Dec 2007  

Irene Casas

State University of New York - Buffalo - Department of Geography

Mei-Po Kwan

Ohio State University - Department of Geography

Abstract

In the area of travel behavior, route choice when facing congestion has been widely researched. However, there are other behavioral alternatives based on people's activities and adaptive decision-making strategies that have been overlooked. This paper focuses on how and what kind of information is used when considering a subset of these alternatives. Alternatives examined are the final choice of people's decision-making process when faced with unexpected events during the commute trip in the presence of real-time information collected using GABRIEL (Gis Activity-Based tRavel sImuLator) in Columbus, OH. An empirical analysis of the data set, which includes a limited set of alternatives (six in total) is presented. Bivariate analysis and multinomial logit models are used to identify variables that influence the choice. Results show that people are willing to experiment with other alternatives if provided the information to support their choice.

Suggested Citation

Casas, Irene and Kwan, Mei-Po, The Impact of Real-Time Information on Choices During the Commute Trip: Evidence from a Travel Simulator. Growth and Change, Vol. 38, No. 4, pp. 523-543, December 2007. Available at SSRN: https://ssrn.com/abstract=1061875 or http://dx.doi.org/10.1111/j.1468-2257.2007.00386.x

Irene Casas (Contact Author)

State University of New York - Buffalo - Department of Geography ( email )

12 Capen Hall
Buffalo, NY 14260
United States

Mei-Po Kwan

Ohio State University - Department of Geography

2100 Neil Avenue
Columbus, OH OH 43210
United States

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