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Degradable transportation systems: An integrated equilibrium model

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  • Nicholson, Alan
  • Du, Zhen-Ping
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    Abstract

    This paper discusses the need for analysis of transportation systems whose components are subject to degradation, and describes an integrated equilibrium model for a large scale, multi-mode degradable transportation system. The existence, uniqueness and stability of the solutions are discussed. Use of the model, to identify the socio-economic impacts of system degradation, the critical components and system reliability, is also discussed.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

    Volume (Year): 31 (1997)
    Issue (Month): 3 (June)
    Pages: 209-223

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    Handle: RePEc:eee:transb:v:31:y:1997:i:3:p:209-223

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    Cited by:
    1. Geroliminis, Nikolas & Kepaptsoglou, Konstantinos & Karlaftis, Matthew G., 2011. "A hybrid hypercube - Genetic algorithm approach for deploying many emergency response mobile units in an urban network," European Journal of Operational Research, Elsevier, Elsevier, vol. 210(2), pages 287-300, April.
    2. Rossi, Riccardo & Gastaldi, Massimiliano & Carturan, Federico & Pellegrino, Carlo & Modena, Claudio, 2012. "Planning and management of actions on transportation system to address extraordinary events in post-emergency situations. A multidisciplinary approach," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 51, pages 3.
    3. Nagae, Takeshi & Fujihara, Tomo & Asakura, Yasuo, 2012. "Anti-seismic reinforcement strategy for an urban road network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 813-827.
    4. Ponlathep Lertworawanich, 2012. "Highway network restoration after the great flood in Thailand," Natural Hazards, International Society for the Prevention and Mitigation of Natural Hazards, International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 873-886, October.
    5. Yang, Chao & Chen, Anthony & Xu, Xiangdong & Wong, S.C., 2013. "Sensitivity-based uncertainty analysis of a combined travel demand model," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 57(C), pages 225-244.
    6. Berdica, Katja, 2002. "An introduction to road vulnerability: what has been done, is done and should be done," Transport Policy, Elsevier, vol. 9(2), pages 117-127, April.
    7. Carlos Carrion & David Levinson, 2012. "Route choice dynamics after a link restoration," Working Papers, University of Minnesota: Nexus Research Group 000105, University of Minnesota: Nexus Research Group.
    8. Edrissi, Ali & Poorzahedy, Hossain & Nassiri, Habibollah & Nourinejad, Mehdi, 2013. "A multi-agent optimization formulation of earthquake disaster prevention and management," European Journal of Operational Research, Elsevier, Elsevier, vol. 229(1), pages 261-275.
    9. Chen, Anthony & Yang, Hai & Lo, Hong K. & Tang, Wilson H., 2002. "Capacity reliability of a road network: an assessment methodology and numerical results," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 36(3), pages 225-252, March.
    10. Clark, Stephen & Watling, David, 2005. "Modelling network travel time reliability under stochastic demand," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 39(2), pages 119-140, February.
    11. Jenelius, Erik & Petersen, Tom & Mattsson, Lars-Göran, 2006. "Importance and exposure in road network vulnerability analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 537-560, August.
    12. Stefanie Peer & Carl Koopmans & Erik T. Verhoef, 2010. "Predicting Travel Time Variability for Cost-Benefit Analysis," Tinbergen Institute Discussion Papers 10-071/3, Tinbergen Institute.
    13. Carlos Carrion & David Levinson, 2010. "Value of Travel Time Reliability: A review of current evidence," Working Papers, University of Minnesota: Nexus Research Group 000085, University of Minnesota: Nexus Research Group.

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