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

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Cited by:

  1. DiPietro, Gwen Shepherd & Scott Matthews, H. & Hendrickson, Chris T., 2014. "Estimating economic and resilience consequences of potential navigation infrastructure failures: A case study of the Monongahela River," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 142-164.
  2. 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.
  3. Zhu, Zheng & Mardan, Atabak & Zhu, Shanjiang & Yang, Hai, 2021. "Capturing the interaction between travel time reliability and route choice behavior based on the generalized Bayesian traffic model," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 48-64.
  4. Alireza Mostafizi & Haizhong Wang & Dan Cox & Lori A. Cramer & Shangjia Dong, 2017. "Agent-based tsunami evacuation modeling of unplanned network disruptions for evidence-driven resource allocation and retrofitting strategies," 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. 88(3), pages 1347-1372, September.
  5. Shanjiang Zhu & David Levinson, 2015. "Do People Use the Shortest Path? An Empirical Test of Wardrop’s First Principle," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-18, August.
  6. 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.
  7. Shanjiang Zhu & David Levinson, 2011. "A Portfolio Theory of Route Choice," Working Papers 000096, University of Minnesota: Nexus Research Group.
  8. Chikaraishi, Makoto & Garg, Prateek & Varghese, Varun & Yoshizoe, Kazuki & Urata, Junji & Shiomi, Yasuhiro & Watanabe, Ryuki, 2020. "On the possibility of short-term traffic prediction during disaster with machine learning approaches: An exploratory analysis," Transport Policy, Elsevier, vol. 98(C), pages 91-104.
  9. Nakanishi, Hitomi & Matsuo, Kojiro & Black, John, 2013. "Transportation planning methodologies for post-disaster recovery in regional communities: the East Japan Earthquake and tsunami 2011," Journal of Transport Geography, Elsevier, vol. 31(C), pages 181-191.
  10. Gokalp, Can & Patil, Priyadarshan N. & Boyles, Stephen D., 2021. "Post-disaster recovery sequencing strategy for road networks," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 228-245.
  11. 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.
  12. 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.
  13. Allister Loder & Fabienne Cantner & Andrea Cadavid & Markus B. Siewert & Stefan Wurster & Sebastian Goerg & Klaus Bogenberger, 2022. "A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 3 Second wave results," Papers 2208.14902, arXiv.org, revised Sep 2022.
  14. Rahimi-Golkhandan, Armin & Aslani, Babak & Mohebbi, Shima, 2022. "Predictive resilience of interdependent water and transportation infrastructures: A sociotechnical approach," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
  15. Markolf, Samuel A. & Hoehne, Christopher & Fraser, Andrew & Chester, Mikhail V. & Underwood, B. Shane, 2019. "Transportation resilience to climate change and extreme weather events – Beyond risk and robustness," Transport Policy, Elsevier, vol. 74(C), pages 174-186.
  16. Kumar, Amit & Peeta, Srinivas, 2015. "A day-to-day dynamical model for the evolution of path flows under disequilibrium of traffic networks with fixed demand," Transportation Research Part B: Methodological, Elsevier, vol. 80(C), pages 235-256.
  17. Wen, Qi & Qiang, Maoshan & Xia, Bingqing & An, Nan, 2019. "Discovering regulatory concerns on bridge management: An author-topic model based approach," Transport Policy, Elsevier, vol. 75(C), pages 161-170.
  18. Jenelius, Erik & Mattsson, Lars-Göran, 2012. "Road network vulnerability analysis of area-covering disruptions: A grid-based approach with case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 746-760.
  19. Watling, David P. & Hazelton, Martin L., 2018. "Asymptotic approximations of transient behaviour for day-to-day traffic models," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 90-105.
  20. Faturechi, Reza & Miller-Hooks, Elise, 2014. "Travel time resilience of roadway networks under disaster," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 47-64.
  21. Milne, Dave & Watling, David, 2019. "Big data and understanding change in the context of planning transport systems," Journal of Transport Geography, Elsevier, vol. 76(C), pages 235-244.
  22. Fabienne Cantner & Nico Nachtigall & Lisa S. Hamm & Andrea Cadavid & Lennart Adenaw & Allister Loder & Markus B. Siewert & Sebastian Goerg & Markus Lienkamp & Klaus Bogenberger, 2022. "A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 2 First wave results," Papers 2206.10510, arXiv.org, revised Jul 2022.
  23. Erik Jenelius & Lars-Göran Mattsson, 2011. "The impact of network density, travel and location patterns on regional road network vulnerability," ERSA conference papers ersa10p448, European Regional Science Association.
  24. Kilgarriff, Paul & McDermott, T.K.J. & Vega, Amaya & Morrissey , Karyn & O’Donoghue, Cathal, 2018. "Flooding disruption and the impact on the spatial distribution of commuter’s income," Working Papers 309608, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
  25. Sevcíková, Hana & Raftery, Adrian E. & Waddell, Paul A., 2011. "Uncertain benefits: Application of Bayesian melding to the Alaskan Way Viaduct in Seattle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 540-553, July.
  26. Lennart Adenaw & David Ziegler & Nico Nachtigall & Felix Gotzler & Allister Loder & Markus B. Siewert & Markus Lienkamp & Klaus Bogenberger, 2022. "A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 5 Insights into four months of mobility tracking," Papers 2211.10328, arXiv.org.
  27. Allister Loder & Fabienne Cantner & Andrea Cadavid & Markus B. Siewert & Stefan Wurster & Sebastian Goerg & Klaus Bogenberger, 2022. "A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 4 Third wave results," Papers 2210.10538, arXiv.org.
  28. Allister Loder & Fabienne Cantner & Lennart Adenaw & Markus Siewert & Sebastian Goerg & Markus Lienkamp & Klaus Bogenberger, 2022. "A nation-wide experiment: fuel tax cuts and almost free public transport for three months in Germany -- Report 1 Study design, recruiting and participation," Papers 2206.00396, arXiv.org.
  29. Nello-Deakin, Samuel, 2020. "Environmental determinants of cycling: Not seeing the forest for the trees?," Journal of Transport Geography, Elsevier, vol. 85(C).
  30. Marra, Alessio D. & Sun, Linghang & Corman, Francesco, 2022. "The impact of COVID-19 pandemic on public transport usage and route choice: Evidences from a long-term tracking study in urban area," Transport Policy, Elsevier, vol. 116(C), pages 258-268.
  31. Carlos Carrion & David Levinson, 2019. "Overestimation and underestimation of travel time on commute trips: GPS vs. self- reporting," Working Papers 2019-05, University of Minnesota: Nexus Research Group.
  32. Xuan Di & Henry X. Liu & Shanjiang Zhu & David M. Levinson, 2017. "Indifference bands for boundedly rational route switching," Transportation, Springer, vol. 44(5), pages 1169-1194, September.
  33. Wei Huang & Yang Hu & Xuanyu Zhang, 2022. "Enhancing Model-Based Anticipatory Traffic Signal Control with Metamodeling and Adaptive Optimization," Mathematics, MDPI, vol. 10(15), pages 1-18, July.
  34. Lin Xiao & Hong Lo, 2015. "Combined Route Choice and Adaptive Traffic Control in a Day-to-day Dynamical System," Networks and Spatial Economics, Springer, vol. 15(3), pages 697-717, September.
  35. Bagloee, Saeed Asadi & Sarvi, Majid & Wolshon, Brian & Dixit, Vinayak, 2017. "Identifying critical disruption scenarios and a global robustness index tailored to real life road networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 60-81.
  36. Jin, Kun & Wang, Wei & Li, Xinran & Hua, Xuedong & Chen, Siyuan & Qin, Shaoyang, 2022. "Identifying the critical road combination in urban roads network under multiple disruption scenarios," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
  37. Fu, Jianhua & Zhang, Yongqing, 2020. "Valuation of travel time reliability: Considering the traveler's adaptive expectation with an indifference band on daily trip duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 337-353.
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