Asadi, M., Shafi'a, M. A., Yaghoubi, S. (2017). Providing an Integrated Logistic Model of Relief with Support Facilities (Case Study: Earthquake in Tehran). International Journal of Industrial Engineering and Production Management, 28, 175-190. (in Persian).
Barzinpour, F., Saffarian, M., Timouri, I. (2014). Metaheuristic Algorithm for Solving Multi-Objective Planning Model and Three-Level Allocation in Rescue Logistics. Journal of Operations Research and its Applications, 11(2), 27-50. (in Persian)
Bozorgi Amiri, A., Jebel Ameli, S., Ameli, H. (2015). A Two-Objective Random Planning Model for Demand, Supply and Random Cost Parameter Chain Design. International Journal of Industrial Engineering and Production Management, 26 (3), 300-310.
Bozorgi Amiri, A., Sabouhi, F., Tavakoli, Z. S., Morad Haseli, N. (2016). Developing a Disposition Location Model for Discharging Persons and Distributing Disaster Relief Aid. International Journal of Industrial Engineering and Production Management, 27 (3). (in Persian)
Bruni, M., Beraldi, P., Khodaparasti, S. (2018). A fast heuristic for routing in post-disaster humanitarian relief logistics. Transportation Research Procedia, 30, 304-313.
Burkart, C., Nolz, P.C., Gutjahr, W.J. (2017). Modelling beneficiaries’ choice in disaster relief logistics. Annals of Operations Research, 256, 41-61.
Comprehensive Development Plan of Bojnourd. (2010). North Khorasan Housing and Urban Development Organization. Volume 3: Physical Studies, p. 13. (in Persian)
Comprehensive Development Plan of Bojnourd. (2010). North Khorasan Housing and Urban Development Organization. Volume 7: Urban Planning Regulations, p. 103. (in Persian)
Derikvand, H., Khalilzadeh M. (2018). Presentation of a Nonlinear Two-Objective Humanitarian Logistic Model under Uncertainty for Earthquake Crisis in District 3 of Tehran City. Quarterly Journal of Crisis Management, 7 (2), 35-49. (in Persian)
Ghasemi, P., Khalili-Damghani, K., Hafezalkotob, A., Raissi, S. (2019). Stochastic optimization model for distribution and evacuation planning (A case study of Tehran earthquake). Socio-Economic Planning Sciences, 71(c). DOI: 10.1016/j.seps.2019.100745.
Ghasemi, R., Alidoosti, A., Hosnavi, R., Norouzian Reykandeh, J. (2018). Identifying and Prioritizing Humanitarian Supply Chain Practices to Supply Food before an Earthquake. Industrial Management Journal, 10(1), 1-16. (in Persian)
Gol Mohammadi, S., Mahoutchi, M. (2017). Developing a Random Model for Creating a Disaster Relief Network (Case Study: Possible Earthquake in Tehran). Specialized Journal of Industrial Engineering, 51 (4), 417-433. (in Persian)
Mahdavi, I., Paydar, M.M., Shahabnia, G. (2015). A fuzzy multi-objective model for logistic planning in disaster relief operations. International Journal of Industrial Engineering & Production Research, 26(3), 213-227.
Mert, A., Adivar, B. (2010). Fuzzy Disaster Relief Planning with Credibility Measures. 24th Mini EURO Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector (MEC EurOPT 2010), Izmir, Turkey.
Mohammadi, A., Yaghoubi, S., Nahofti Kohne, J. (2014). Providing Mathematical Model of Logistics Relief with Support Points and Transfer Facilities (Case Study: Earthquake Crisis in Area One of Tehran). Journal of Operations Research and Its Applications, 11(4), 119-138. (in Persian)
Mohammadi, R., Fatemi Qomi, M.T., July, F. (2015). Presentation of a Multi-Objective Optimization Model for Logistic Planning in Response to Earthquake Considering Temporary Distribution and Treatment Centers. Journal of Industrial Engineering and Management (Sharif Special Engineering), 1-31 (1/2), 93-105. (in Persian)
Muaafa, M., Concho, A.L., Ramirez-Marquez J.E. (2014). Emergency resource allocation for disaster response: An evolutionary approach. PSAM 2014 - Probabilistic Safety Assessment and Management.
Qureshi, A. G., & Taniguchi, E. (2020). A multi-period humanitarian logistics model considering limited resources and network availability. Transportation Research Procedia, 46, 212-219.
Rabta, B., Wankmüller, C., Reiner, G. (2018). A drone fleet model for last-mile distribution in disaster relief operations, International Journal of Disaster Risk Reduction, 28, 107-112.
Rahmani, Z., Safai, A. S., Pader, M. M. (2018). Multi-Objective Optimization Model for Locating Means of Temporary Therapy and Post-Crisis Logistic Planning. Journal of Crisis Management Research, 7 (2), 19-33. (in Persian)
Rezaei-Malek, M., Tavakkoli-Moghaddam, R., Zahiri, B., Bozorgi-Amiri, A. (2016). An interactive approach for designing a robust disaster relief logistics network with perishable commodities, Computers & Industrial Engineering, 94, 201-215.
Sabouhi, F., Heydari, M., Bozorgi Amiri, A. (2016). Providing a routing and scheduling model for emergency evacuation taking into account the possibility of transaction between shelters. International Journal of Industrial Engineering and Production Management, 28, 56-67. (in Persian)
Sadeghi Moghaddam, M. R., Ghasemian Saheb, E. (2018). Designing a Mathematical Model to Improve the Quality of Demand Response in Medical Emergency Centers in a Humanitarian Supply Chain. Modern Research in Decision Making, 3 (1), 217-242.
Saffarian, M., Barzinpour, F., Eghbali, MA. (2015). A Robust Programming Approach to Bi-objective Optimization Model in the Disaster Relief Logistics Response Phase. International Journal of Supply and Operations Management, 2(1), 595-616.
Seyyedi, S.H., Khatami FirouzAbadi, S.M.A., Amiri, M., Taghavi Fard, S.M.T. (2019). Positioning and Optimized Allocation of Transfer Points, Hospitals and Emergency Services Centers to Organize a Crisis Relief Chain, Assuming Screening of Injuries. Industrial Management Journal, 11(1), 1-20. (in Persian)
Tayebi, L., Yazdani, M. (2019). Modeling the Problem of Locating and Allocating in Earthquake Crisis Conditions and Solving it by Metabolism Algorithms. Quarterly Journal of Crisis Management, 8 (1), 5-20. (in Persian)
Yin, P., Mu, L. (2012). Modular capacitated maximal covering location problem for the optimal siting of emergency vehicles. Applied Geography, 34, 247-254.
Zhang, J., Liu, H., Yu, G., Ruan, J., Chan, F. (2019). A three-stage and multi-objective stochastic programming model to improve the sustainable rescue ability by considering secondary disasters in emergency logistics. Computers & Industrial Engineering, 135. 1145-1154.