[1] Ashtari Jafari, M. (2016). Lessons Learned from the Recent Earthquakes in Iran, in Earthquakes and Their Impact on Society, S. D'Amico, Editor. Springer International Publishing: Cham. p. 459-474. https://doi.org/10.1007/978-3-319-21753-6_18
[2] Khademi, N., et al. (2015). Transportation network vulnerability analysis for the case of a
Disaster Risk Reduction,12: p. 234-254. https://doi.org/10.1016/j.ijdrr.2015.01.009
[3] Muriel-Villegas, J.E., et al. (2016). Analysis of transportation networks subject to natural hazards–Insights from a Colombian case. Reliability Engineering & System Safety,152: p. 151.165. https://doi.org/10.1016/j.ress.2016.03.006
[4] Balcik, B., B.M. Beamon, and K. Smilowitz. (2008). Last Mile Distribution in Humanitarian
Relief. Journal of Intelligent Transportation Systems, 12(2): p. 51-63. Relief. Journal of Intelligent Transportation Systems, 12(2): p. 51-63. https://doi.org/10.1080/15472450802023329
[5] Liu, Y., et al. (2018). Robust optimization for relief logistics planning under uncertainties in demand and transportation time. Applied Mathematical Modelling, 55: p. 262-280. https://doi.org/10.1016/j.apm.2017.10.041
[6] Aslan, E. and M. Çelik. (2019). Pre-positioning of relief items under road/facility vulnerability with
concurrent restoration and relief transportation. IISE Transactions, 51(8): p. 847-868. https://doi.org/10.1080/24725854.2018.1540900
[7] Hu, S., et al. (2019). A multi-stage stochastic programming model for relief distribution considering the state of road network. Transportation Research Part B: Methodological, 123: p. 64-87. https://doi.org/10.1016/j.trb.2019.03.014
[8] Sanci, E. and M.S. Daskin. (2019). Integrating location and network restoration decisions in relief networks under uncertainty. European Journal of Operational Research, 279(2): p. 335-350. https://doi.org/10.1016/j.ejor.2019.06.012
[9] Shin, Y., S. Kim, and I. Moon. (2019). Integrated optimal scheduling of repair crew and relief vehicle after disaster. Computers & Operations Research, 105: p.237-247. https://doi.org/10.1016/j.cor.2019.01.015
[10] Wei X, Qiu H, Wang D, Duan J, Wang Y, Cheng TC. An integrated location-routing problem with post-disaster relief distribution. Computers & Industrial Engineering. 2020 Sep 1;147:106632. https://doi.org/10.1016/j.cie.2020.106632
[11] Haeri A, Hosseini-Motlagh SM, Samani MR, Rezaei M. A bi-level programming approach for improving relief logistics operations: A real case in Kermanshah earthquake. Computers & Industrial Engineering. 2020 Jul 1;145:106532. https://doi.org/10.1016/j.cie.2020.106532
[12] Sanci E, Daskin MS. An integer L-shaped algorithm for the integrated location and network restoration problem in disaster relief. Transportation Research Part B: Methodological. 2021 Mar 1;145:152-84. https://doi.org/10.1016/j.trb.2021.01.005
[13] Holguín-Veras, J., et al., On the appropriate objective function for post-disaster humanitarian logistics models. Journal of Operations Management2013.31(5): p. 262-280. https://doi.org/10.1016/j.jom.2013.06.002
[14] Moreno, A., et al., An effective two-stage stochastic multi-trip location-transportation model with social concerns in relief supply chains. European Journal of Operational Research, 2018. 269(3): p. 105-1071. https://doi.org/10.1016/j.ejor.2018.02.022
[15] Cotes N, Cantillo V. Including deprivation costs in facility location models for humanitarian relief logistics. Socio-Economic Planning Sciences. 2019 Mar 1;65:89-100. https://doi.org/10.1016/j.seps.2018.03.002
[16] Farrokh M, Azar A, Jandaghi G, Ahmadi E. (2018). A novel robust fuzzy stochastic programming for closed loop supply chain network design under hybrid uncertainty. Fuzzy Sets and Systems. Jun 15;341:69-91. https://doi.org/10.1016/j.fss.2017.03.019
[17] Liu, B. and K. Iwamura, Chance constrained programming with fuzzy parameters. Fuzzy Sets and Systems, 1998. 94(2): p. 227-237. https://doi.org/10.1016/S0165-0114(96)00236-9
[18] Carlsson C, Fullér R. (2001). On possibilistic mean value and variance of fuzzy numbers. Fuzzy sets and systems. Sep 1;122(2):315-26. https://doi.org/10.1016/S0165-0114(00)00043-9
[19] B. Liu. (2004). Uncertainty Theory: An Introduction to its Axiomatic Foundations, Springer Verlag, Berlin. https://doi.org/10.1007/978-3-540-39987-2. https://doi.org/10.1007/978-3-642-13959-8_1
[20] JICA. (2002). The study on a disaster prevention/mitigation basic plan in Istanbul including seismic microzonation in the Republic of Turkey. Japan International Co- operation Agency Final Report.
[21] Mulvey, J.M., R.J. Vanderbei, and S.A. Zenios. (1995). Robust Optimization of Large-Scale Systems. Operations Research, 43(2): p. 268-281. https://doi.org/10.1287/opre.43.2.264
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