A Reliability-Based Resource Allocation Model for Transportation Networks Affected by Natural Disasters
AbstractThis paper is concerned with the development of a resource allocation model for road networks under supply uncertainty caused by natural disasters. An optimization model is proposed to determine which links should be invested for the system to perform better while encountering natural disasters such as earthquake. The connectivity reliability and travel time reliability of origin-destinations (ODs) are selected as performance measures to do so. The Monte-Carlo simulation method is used to estimate the reliability measures and the model is solved by the genetic algorithm. The proposed model is implemented on a test network to demonstrate the results.
Iida, Wakabayashi: An approximation method of terminal reliability of road network using partial minimal path and cut set, Proceedings of the Fifth WCTR, Vol. 5, Yokohama, 1989, pp.367-380
Asakura, Y.: Reliability measures of an origin and destination pair in a deteriorated road network with variable flow, Proceeding of the 4th Meeting of the EURO Working Group ob Transportation, Pergamon Press, 1996
Bell, M.G.H., Iida, Y.: Transportation Network Analysis, John Wiley & Sons, Chichester, UK, 1997
Du, Z.P., Nicholson, A.J.: Degradable Transportation Systems: Sensitivity and Reliability Analysis. Transportation Research Part B 31, 1997, pp.225-237
Sumalee, A., Watling, D.: Travel Time Reliability in a Network with Dependent Link Modes and Partial Driver Response, Journal of the Eastern Asia Society for Transportation Studies 5, 2003, pp. 1686-1701
Bell, M.G.H., C. Cassir, Y. Iida, Lam, W.H.K.: A Sensitivity Based Approach to Reliability Assessment. Proceedings of the 14th International Symposium on Transportation and Traffic Theory, 1999, pp. 283-300
Lo, H. K., Luo, X.W., Siu, B.W.Y.: Degradable transport network: Travel time budget of travelers with heterogeneous risk aversion, Transportation Research Part B 40, 2006, pp. 792-806.
Lo, H.K., Siu B.W.Y.: Doubly uncertain transportation network: Degradable capacity and stochastic demand. European Journal of Operational Research 191, 2008, pp. 166–181
Jackson, B. W., Jucker, J. V.: An Empirical Study of Travel Time Variability and Travel Choice Behavior, Transportation Science 16(4), 1981, pp. 460-475
Senna, L. A. D. S.: The Influence of Travel Time Variability on the Value of Time, Transportation 21, 1994, pp. 203-228
Li Z., Huang H.: Fixed-point model and schedule reliability of morning commuting in stochastic and time-dependent transport networks, Lecture Notes in Computer Science 3828, 2005, pp.777-787
Chootinan, P., Wong, S. C., Chen, A.: A reliability-based network design problem, Journal of Advanced Transportation 39(3), 2005, pp. 247-270
Sanchez-Silva, M., Daniels, M., Lleras, G., Patino, D.: A transport network reliability model for the efficient assignment of resources, Transportation Research Part B 39, 2005, pp. 47-63
Chen, A., Kim, J., Zhou, Z., Chootinan, P.: Alpha Reliable Network Design Problem, Transportation Research record: Journal of the Transportation Research Board 2029,2008,pp.49-57
Yin, Y., Madanat, S. M., Lu, X. Y.: Robust improvement schemes for road networks under demand uncertainty, European Journal of Operational Research 198(2), 2009, pp. 470-479
Shariat-Mohaymany, A. and Babaei, M.: An Approximate Reliability Evaluation Method for Improving Transportation Network Performance, Transport 25(2), 2010, pp.193-202
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).