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Route switching behavior on freeways with the provision of different types of real-time traffic information

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  • Jou, Rong-Chang
  • Lam, Soi-Hoi
  • Liu, Yu-Hsin
  • Chen, Ke-Hong

Abstract

This study investigates route switching behavior on freeways in reaction to the provision of different types of real-time traffic information. The experimental design of the stated preference survey is based on four types of real-time information provided to travelers who were randomly selected at rest areas. The four types of real-time information defined in this paper are qualitative, quantitative, qualitative guidance, and quantitative guidance. The bounded rationality framework, also known as indifference band approach, is applied to model the freeway route switching behavior. Two important variables, travel time and travel cost, are included in the indifference band. In this study, the best route switching rule, travelers' current routes as compared to the best route, is investigated to further provide valuable insights into freeways travelers' route switching behavior with the provision of different types of real-time traffic information.

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  • Jou, Rong-Chang & Lam, Soi-Hoi & Liu, Yu-Hsin & Chen, Ke-Hong, 2005. "Route switching behavior on freeways with the provision of different types of real-time traffic information," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(5), pages 445-461, June.
    • Handle: RePEc:eee:transa:v:39:y:2005:i:5:p:445-461
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    Cited by:

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    3. Hamid Mostofi, 2021. "The Association between ICT-Based Mobility Services and Sustainable Mobility Behaviors of New Yorkers," Energies, MDPI, vol. 14(11), pages 1-18, May.
    4. Caspar Chorus & Theo Arentze & Harry Timmermans, 2007. "Information impact on quality of multimodal travel choices: conceptualizations and empirical analyses," Transportation, Springer, vol. 34(6), pages 625-645, November.
    5. Zhao, Wenjing & Ma, Zhuanglin & Yang, Kui & Huang, Helai & Monsuur, Fredrik & Lee, Jaeyoung, 2020. "Impacts of variable message signs on en-route route choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 335-349.
    6. Zhang, Rong & Verhoef, Erik T., 2006. "A monopolistic market for advanced traveller information systems and road use efficiency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(5), pages 424-443, June.
    7. Brownstone, David & McBride, Michael & Kong, Si-Yuan & Mahmassani, Amine, 2017. "Experimental Studies for Traffic Incident Management," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6kx670mv, Institute of Transportation Studies, UC Berkeley.
    8. Di, Xuan & He, Xiaozheng & Guo, Xiaolei & Liu, Henry X., 2014. "Braess paradox under the boundedly rational user equilibria," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 86-108.
    9. Chorus, Caspar G. & Timmermans, Harry J.P., 2009. "Measuring user benefits of changes in the transport system when traveler awareness is limited," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 536-547, June.
    10. Joh, Chang-Hyeon & Lee, Backjin & Bin, Miyoung & Arentze, Theo & Timmermans, Harry, 2011. "Exploring the use of travel information – identifying contextual market segmentation in Seoul, Korea," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1245-1251.
    11. Zhong, Shiquan & Zhou, Lizhen & Ma, Shoufeng & Jia, Ning, 2012. "Effects of different factors on drivers’ guidance compliance behaviors under road condition information shown on VMS," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1490-1505.
    12. Liu, Yu-Hsin, 2011. "Incorporating scatter search and threshold accepting in finding maximum likelihood estimates for the multinomial probit model," European Journal of Operational Research, Elsevier, vol. 211(1), pages 130-138, May.
    13. Rong-Chang Jou . & Ke-Hong Chen, 2015. "How Much Will I Pay for Freeway Real-Time Traffic Information?," Sustainability, MDPI, vol. 7(10), pages 1-12, September.
    14. Hongcheng Gan & Xin Ye, 2013. "Investigation of drivers' diversion responses to urban freeway variable message signs displaying freeway and local street travel times," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(8), pages 651-668, December.
    15. Ioannis Politis & Georgios Georgiadis & Aristomenis Kopsacheilis & Anastasia Nikolaidou & Chrysanthi Sfyri & Socrates Basbas, 2023. "A Route Choice Model for the Investigation of Drivers’ Willingness to Choose a Flyover Motorway in Greece," Sustainability, MDPI, vol. 15(5), pages 1-23, March.
    16. Rong-Chang Jou & David A. Hensher & Yu-Hsin Liu & Ching-Shu Chiu, 2010. "Urban Commuters’ Mode-switching Behaviour in Taipai, with an Application of the Bounded Rationality Principle," Urban Studies, Urban Studies Journal Limited, vol. 47(3), pages 650-665, March.
    17. Guohui Zhang & Zhong Wang & Khali Persad & C. Walton, 2014. "Enhanced traffic information dissemination to facilitate toll road utilization: a nested logit model of a stated preference survey in Texas," Transportation, Springer, vol. 41(2), pages 231-249, March.
    18. Jou, Rong-Chang & Chen, Ke-Hong, 2013. "An application of cumulative prospect theory to freeway drivers’ route choice behaviours," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 123-131.
    19. Siti Raudhatul Fadilah & Hiroaki Nishiuchi & An Minh Ngoc, 2022. "The Impact of Traffic Information Provision and Prevailing Policy on the Route Choice Behavior of Motorcycles Based on the Stated Preference Experiment: A Preliminary Study," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    20. Casper G. Chorus & Harry J.P. Timmermans, 2011. "Personal Intelligent Travel Assistants," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 25, Edward Elgar Publishing.
    21. Hongbo Ye & Hai Yang, 2017. "Rational Behavior Adjustment Process with Boundedly Rational User Equilibrium," Transportation Science, INFORMS, vol. 51(3), pages 968-980, August.

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