Commuters' enroute diversion and return decisions: Analysis and implications for advanced traveler information systems

Khattak, Asad J.; Schofer, Joseph L.; Koppelman, Frank S.

doi:10.1016/0965-8564(93)90066-t

Cited by 81 publications

(73 citation statements)

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“…In previous studies, many researchers used stated preference (SP) data from questionnaire surveys to model drivers' response behavior, e.g., [5][6][7][8][9][10][11][12][13][14][15][16]. Some other studies used SP data from travel simulator experiments (e.g., [17][18][19][20][21][22][23][24][25]).…”

Section: Introductionmentioning

confidence: 99%

Leave the expressway or not? Impact of dynamic information

Gan

2014

J. Mod. Transport.

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This study investigates drivers' diversion decision behavior under expressway variable message signs that provide travel time of both an expressway route and a local street route. Both a conventional cross-sectional logit model and a mixed logit model are developed to model drivers' response to travel time information. It is based on the data collected from a stated preference survey in Shanghai, China. The mixed logit model captures the heterogeneity in the value of ''travel time'' and ''number of traffic lights'' and accounts for correlations among repeated choices of the same respondent. Results show that travel time saving and driving experience serve as positive factors, while the number of traffic lights on the arterial road, expressway use frequency, being a middle-aged driver, and being a driver of an employer-provided car serve as negative factors in diversion. The mixed logit model obviously outperforms the cross-sectional model in dealing with repeated choices and capturing heterogeneity regarding the goodness-of-fit criterion. The significance of standard deviations of random coefficients for travel time and number of traffic lights evidences the existence of heterogeneity in the driver population. The findings of this study have implications for future efforts in driver behavior modeling and advanced traveler information system assessment.

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Section: Introductionmentioning

confidence: 99%

Leave the expressway or not? Impact of dynamic information

Gan

2014

J. Mod. Transport.

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“…It is hoped for, and by many expected, that travel information provision may assist travelers in making better choices in these increasingly uncertain and complex multimodal travel networks by increasing travelers' knowledge levels (e.g. Khattak et al 1993;Walker and Ben-Akiva 1996;Adler and Blue 1998;Golledge, 2002;Abdel-Aty and Abdalla 2004;Jou et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Information impact on quality of multimodal travel choices: conceptualizations and empirical analyses

2007

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This paper investigates the impact of a variety of travel information types on the quality of travel choices. Choice quality is measured by comparing observed choices made under conditions of incomplete knowledge with predicted choice probabilities under complete knowledge. Furthermore, the potential impact of travel information is considered along multiple attribute-dimensions of alternatives, rather than in terms of travel time reductions only. Data is obtained from a choice experiment in a multimodal travel simulator in combination with a web-based mode-choice experiment. A Structural Equation Model is estimated to test a series of hypothesized direct and indirect relations between a traveler's knowledge levels, information acquisition behavior and the resulting travelchoice quality. The estimation results support the hypothesized relations, which provides evidence of validity and applicability of the developed measure of travel-choice quality. Furthermore, found relations in general provide some careful support for the often expected impact of information on the quality of travel choices. The effects are largest for information services that generate previously unknown alternatives, and lowest for services that provide warnings in case of high travel times only.

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“…As Chorus, et al (2004) argued, these studies can be categorised into two streams, those that describe travel choices given travel information (e.g., Ben-Akiva, et al, 1991;Khattak, et al, 1993;Yim and Khattak, 2002) and those that describe the process of information acquisition using ATIS (e.g., Polak and Jones, 1993;Polydoropoulou and Ben-Akiva, 1998;Hato, et al, 1999;Kenyon and Lyons, 2003). Most of this literature concerns the idea that information provision will reduce uncertainty and expose possible hidden alternatives (Arentze, et al, 2004).…”

Section: Information Use and Provisionmentioning

confidence: 99%

Modelling Strategic Behaviour in Anticipation of Congestion

Han¹,

Dellaert

Raaij

et al. 2007

Transportmetrica

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Cover design: Tekenstudio, Faculteit Bouwkunde Printed by the Technology University of Eindhoven Press Facilities CIP-DATA KONINKLIJKE BIBLIOTHEEK, iii PrefaceIn this thesis, a approach is developed to explore and describe strategic choice behaviour in anticipation of congestion, based on interaction and interdependencies between individuals and between individuals and service providers. It formulates the process of how people would arrive at choices in a congested environment and how information or guidance would become effective towards serving a certain goal. My research interest in this area emerged during my master study. When I first saw the research proposal of this Ph.D. project a few years ago, I knew that I found something that would suit me.The research project was sponsored by SOBU: a collaboration between Tilburg University and Eindhoven University of Technology. The original proposal was developed by Harry Timmermans and Benedict Dellaert when he still was in Tilburg University. Soon after the proposal was funded, he became a professor at Maastricht University and Fred van Raaij joined the team. However, Benedict stayed heavily involved in the project, and hence I was lucky to have such an active scholarly environment. The available travel grant provided me also great opportunities to attend international conferences and meet other researchers. Besides, many people have supported me in conducting the research reported in this thesis. I wish to acknowledge all the help that they given. There are some that I would like to mention specifically for their contributions.iv Professor Harry Timmermans, my first supervisor, has supported me in many ways. With his special style of open guidance he knows how to encourage people to work independently, to develop their own expertise and to pursue their research goals. This and his strategic insights in the world of science have helped me in not only developing the line of my research interest, but also offering me a wonderful opportunity to learn how to conduct research and publish in international journals. Besides, his kind and careful comments on the draft version of my thesis were very important.Many thanks also go to Professor Fred van Raaij, my second supervisor. He succeeded Professor Benedict Dellaert and continued bridging the cooperation between the two universities on this project. He introduced me the educational credit system in Tilburg University that I could use to get sufficient respondents for the data collection. From preparing the recruit announcement, arranging the laboratory, to credit registration afterwards, he has given me invaluable support in two experimental data collections in my research project. Besides, his insightful reviews gave valuable contributions to my work.

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Commuters' enroute diversion and return decisions: Analysis and implications for advanced traveler information systems

Cited by 81 publications

References 1 publication

Leave the expressway or not? Impact of dynamic information

Leave the expressway or not? Impact of dynamic information

Information impact on quality of multimodal travel choices: conceptualizations and empirical analyses

Modelling Strategic Behaviour in Anticipation of Congestion

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