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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

Author

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  • Siti Raudhatul Fadilah

    (Graduate School of Engineering, Kochi University of Technology, Kami City 782-8502, Kochi, Japan)

  • Hiroaki Nishiuchi

    (School of Systems Engineering, Kochi University of Technology, Kami City 782-8502, Kochi, Japan)

  • An Minh Ngoc

    (School of Systems Engineering, Kochi University of Technology, Kami City 782-8502, Kochi, Japan)

Abstract

It is anticipated that the prevalence of motorcycles in Asian countries will continue to increase, causing congestion and network imbalances concerning the nature of motorcycles. Literature demonstrates Variable Message Signs (VMSs) as an effective measure for addressing this issue. Understanding route choice behavior may thus aid in determining the appropriate traffic information to broadcast. This study aims to identify the impact of VMS messages related to traffic conditions and regulations on the route choice of motorcycle riders. In this instance, the core concept of ramp metering is adapted for non-highways to manage the proportion of motorcycles entering the traffic stream of the mainline. Two predetermined routes were offered through a stated preference survey to capture the responses to VMS. A binary logit model was initially introduced, further improved by including the individual characteristics and accommodating the unobserved factors across a series of observations (panel effects) by applying the mixed binary logit. It was revealed that traffic flow conditions significantly affect route preference; therefore, motorcycles tend to choose routes with lower volumes. However, waiting time at a ramp meter has no impact. The present research is a preliminary investigation for further implications in proposing traffic management strategies under mixed traffic situations.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15713-:d:984249
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    References listed on IDEAS

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    1. 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.
    2. Ben-Elia, Eran & Shiftan, Yoram, 2010. "Which road do I take? A learning-based model of route-choice behavior with real-time information," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(4), pages 249-264, May.
    3. Michel Bierlaire, 2006. "A theoretical analysis of the cross-nested logit model," Annals of Operations Research, Springer, vol. 144(1), pages 287-300, April.
    4. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    5. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    6. Dena Kasraian & Sneha Adhikari & David Kossowsky & Michael Luubert & G Brent Hall & Jason Hawkins & Khandker Nurul Habib & Matthew J Roorda, 2021. "Evaluating pedestrian perceptions of street design with a 3D stated preference survey," Environment and Planning B, , vol. 48(7), pages 1787-1805, September.
    7. Li, Weibo & Kamargianni, Maria, 2018. "Providing quantified evidence to policy makers for promoting bike-sharing in heavily air-polluted cities: A mode choice model and policy simulation for Taiyuan-China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 277-291.
    8. Xuedong Yan & Jiawei Wu, 2014. "Effectiveness of Variable Message Signs on Driving Behavior Based on a Driving Simulation Experiment," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-9, March.
    9. Haj-Salem, Habib & Papageorgiou, Marcos, 1995. "Ramp metering impact on urban corridor traffic: Field results," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(4), pages 303-319, July.
    10. Hong Huo & David Levinson, 2003. "Effectiveness of Variable Message Signs Using Empirical Loop Detector Data," Working Papers 000033, University of Minnesota: Nexus Research Group.
    11. Fosgerau, Mogens & Frejinger, Emma & Karlstrom, Anders, 2013. "A link based network route choice model with unrestricted choice set," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 70-80.
    12. Srinivasan, Karthik K. & Mahmassani, Hani S., 2003. "Analyzing heterogeneity and unobserved structural effects in route-switching behavior under ATIS: a dynamic kernel logit formulation," Transportation Research Part B: Methodological, Elsevier, vol. 37(9), pages 793-814, November.
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