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Travel Impacts and Adjustment Strategies of the Collapse and the Reopening of the I-35W Bridge

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Abstract

Major network disruptions have significant impacts on local travelers. Understanding the behavioral reactions to such incidents is crucial for traffic management and planning. This study investigates travelers' reaction to both the collapse and reopening of the I-35W Mississippi River Bridge in Minneapolis, Minnesota. Web-based surveys conducted at residences in several communities across the metropolitan area supplement hand-out/mail-back paper-based surveys distributed to workers in areas around the bridge collapse (downtown Minneapolis and the University of Minnesota). Findings from the four surveys highlight differences in travel impacts and behavioral reactions after the unplanned bridge collapse and the planned bridge reopening.

Suggested Citation

  • Shanjiang Zhu & Nebiyou Tilahun & David Levinson & Xiaozheng He, 2011. "Travel Impacts and Adjustment Strategies of the Collapse and the Reopening of the I-35W Bridge," Working Papers 000068, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:i-35w-trb2010-surveys
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    File URL: http://hdl.handle.net/11299/180004
    File Function: Second version, 2011
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    1. Hansen, Mark & Weinstein, Sharon, 1991. "East Bay Ferry Service and the Loma Prieta Earthquake," University of California Transportation Center, Working Papers qt5dg5n2kb, University of California Transportation Center.
    2. P.B. Goodwin, 1977. "Habit and Hysteresis in Mode Choice," Urban Studies, Urban Studies Journal Limited, vol. 14(1), pages 95-98, February.
    3. Tsuchida, Pamela & Wilshusen, Linda, 1991. "Commute Behavior in Santa Cruz County," University of California Transportation Center, Working Papers qt7tb7h8m3, University of California Transportation Center.
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    Cited by:

    1. MD Jahedul Alam & Muhammad Ahsanul Habib, 2021. "Mass evacuation microsimulation modeling considering traffic disruptions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 323-346, August.
    2. Kosíková, Renata & Krčál, Ondřej & Peer, Stefanie, 2024. "The value of time in a repeated and one-off setup," Research in Transportation Economics, Elsevier, vol. 103(C).
    3. Danczyk, Adam & Di, Xuan & Liu, Henry X. & Levinson, David M., 2017. "Unexpected versus expected network disruption: Effects on travel behavior," Transport Policy, Elsevier, vol. 57(C), pages 68-78.
    4. Pavithra Parthasarathi & Hartwig Hochmair & David Levinson, 2012. "Network Structure and Spatial Separation," Environment and Planning B, , vol. 39(1), pages 137-154, February.
    5. Anastasia Pnevmatikou & Matthew Karlaftis & Konstantinos Kepaptsoglou, 2015. "Metro service disruptions: how do people choose to travel?," Transportation, Springer, vol. 42(6), pages 933-949, November.
    6. Qi, Hang & Jia, Ning & Qu, Xiaobo & He, Zhengbing, 2023. "Investigating day-to-day route choices based on multi-scenario laboratory experiments, Part I: Route-dependent attraction and its modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 167(C).

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    More about this item

    Keywords

    Network disruption; travel behavior; web-based survey;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other

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