IDEAS home Printed from https://ideas.repec.org/p/nex/wpaper/i-35w-trb2009-sger.html

The traffic and behavioral effects of the I-35W Mississippi River bridge collapse

Author

Listed:
  • Shanjiang Zhu
  • David Levinson

  • Henry Liu
  • Kathleen Harder

    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

The collapse, on August 1, 2007, of the I-35W bridge over the Mississippi River in Minneapolis, abruptly interrupted the usual route of about 140,000 daily vehicle trips and substantially disturbed the flow pattern on the network. It took several weeks for the network to re-equilibrate, during which period, travelers continued to learn and adjust their travel decisions. A good understanding of this process is crucial for traffic management and designing mitigation schemes. A survey collected behavioral responses to the bridge collapse. Traffic data were also collected to understand the traffic conditions experienced by road users. Data from both resources are analyzed and compared. Findings of behavioral effects of capacity changes could have significant implications for travel demand modeling, especially of day-to-day travel demand

Suggested Citation

  • Shanjiang Zhu & David Levinson & Henry Liu & Kathleen Harder, 2008. "The traffic and behavioral effects of the I-35W Mississippi River bridge collapse," Working Papers 201001, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:i-35w-trb2009-sger
    as

    Download full text from publisher

    File URL: https://hdl.handle.net/11299/179994
    File Function: First version, 2008
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. David A. Hensher & Ann M. Brewer, 2002. "Going for gold at the Sydney Olympics: How did transport perform?," Transport Reviews, Taylor & Francis Journals, vol. 22(4), pages 381-399, January.
    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. Agachai Sumalee & Fumitaka Kurauchi, 2006. "Network Capacity Reliability Analysis Considering Traffic Regulation after a Major Disaster," Networks and Spatial Economics, Springer, vol. 6(3), pages 205-219, September.
    4. Chang, Stephanie E. & Nojima, Nobuoto, 2001. "Measuring post-disaster transportation system performance: the 1995 Kobe earthquake in comparative perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(6), pages 475-494, July.
    5. David Levinson & Kathleen Harder & John Bloomfield & Kathy Carlson, 2006. "Waiting Tolerance: Ramp Delay vs. Freeway Congestion," Working Papers 200602, University of Minnesota: Nexus Research Group.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shanjiang Zhu & David M. Levinson, 2012. "Disruptions to Transportation Networks: A Review," Transportation Research, Economics and Policy, in: David M. Levinson & Henry X. Liu & Michael Bell (ed.), Network Reliability in Practice, edition 1, chapter 0, pages 5-20, Springer.
    2. Nazmul Arefin Khan & Muhammad Ahsanul Habib, 2018. "Evaluation of Preferences for Alternative Transportation Services and Loyalty towards Active Transportation during a Major Transportation Infrastructure Disruption," Sustainability, MDPI, vol. 10(6), pages 1-14, June.
    3. Balijepalli, Chandra & Oppong, Olivia, 2014. "Measuring vulnerability of road network considering the extent of serviceability of critical road links in urban areas," Journal of Transport Geography, Elsevier, vol. 39(C), pages 145-155.
    4. H. Klammler & P. S. C. Rao & K. Hatfield, 2018. "Modeling dynamic resilience in coupled technological-social systems subjected to stochastic disturbance regimes," Environment Systems and Decisions, Springer, vol. 38(1), pages 140-159, March.
    5. Hong, Liu & Ye, Bowen & Yan, Han & Zhang, Hui & Ouyang, Min & (Sean) He, Xiaozheng, 2019. "Spatiotemporal vulnerability analysis of railway systems with heterogeneous train flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 725-744.
    6. Donna, Javier D., 2018. "Measuring Long-Run Price Elasticities in Urban Travel Demand," MPRA Paper 90059, University Library of Munich, Germany.
    7. Zhou, Jiangping, 2012. "Sustainable commute in a car-dominant city: Factors affecting alternative mode choices among university students," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1013-1029.
    8. Cantillo, Víctor & Heydecker, Benjamin & de Dios Ortúzar, Juan, 2006. "A discrete choice model incorporating thresholds for perception in attribute values," Transportation Research Part B: Methodological, Elsevier, vol. 40(9), pages 807-825, November.
    9. Lattarulo, Patrizia & Masucci, Valentino & Pazienza, Maria Grazia, 2019. "Resistance to change: Car use and routines," Transport Policy, Elsevier, vol. 74(C), pages 63-72.
    10. Altay, Nezih & Green III, Walter G., 2006. "OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 175(1), pages 475-493, November.
    11. Christian Dragin-Jensen, 2016. "Mutual Image Impacts of Events and Host Destinations: What We Know From Prior Research," Working Papers 122/16, University of Southern Denmark, Department of Sociology, Environmental and Business Economics.
    12. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
    13. Chenfeng Xiong & Lei Zhang, 2017. "Dynamic travel mode searching and switching analysis considering hidden model preference and behavioral decision processes," Transportation, Springer, vol. 44(3), pages 511-532, May.
    14. Nima Haghighi & S. Kiavash Fayyaz & Xiaoyue Cathy Liu & Tony H. Grubesic & Ran Wei, 2018. "A Multi-Scenario Probabilistic Simulation Approach for Critical Transportation Network Risk Assessment," Networks and Spatial Economics, Springer, vol. 18(1), pages 181-203, March.
    15. Sergey Kinzhikeyev & József Rohács & Dániel Rohács & Anita Boros, 2020. "Sustainable Disaster Response Management Related to Large Technical Systems," Sustainability, MDPI, vol. 12(24), pages 1-25, December.
    16. Shanjiang Zhu & David Levinson & Henry Liu, 2017. "Measuring winners and losers from the new I-35W Mississippi River Bridge," Transportation, Springer, vol. 44(5), pages 905-918, September.
    17. Yasuko Kuwata & Shiro Takada, 2004. "Effective Emergency Transportation for Saving Human Lives," 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. 33(1), pages 23-46, September.
    18. Dargay, Joyce M, 2001. "The effect of income on car ownership: evidence of asymmetry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 807-821, November.
    19. Ouyang, Min & Pan, ZheZhe & Hong, Liu & He, Yue, 2015. "Vulnerability analysis of complementary transportation systems with applications to railway and airline systems in China," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 248-257.
    20. Chao Fang & Piao Dong & Yi-Ping Fang & Enrico Zio, 2020. "Vulnerability analysis of critical infrastructure under disruptions: An application to China Railway High-speed," Journal of Risk and Reliability, , vol. 234(2), pages 235-245, April.

    More about this item

    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
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nex:wpaper:i-35w-trb2009-sger. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: David Levinson The email address of this maintainer does not seem to be valid anymore. Please ask David Levinson to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/nexmnus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.