Abounacer, R., Rekik, M., & Renaud, J. (2014). An exact solution approach for multi-objective location–transportation problem for disaster response. Computers & Operations Research, 41, 83-93.
Andersson, T., & Värbrand, P. (2007). Decision support tools for ambulance dispatch and relocation. Journal of the Operational Research Society, 58(2), 195-201.
Barbarosoǧlu, G., & Arda, Y. (2004). A two-stage stochastic programming framework for transportation planning in disaster response. Journal of the operational research society, 55(1), 43-53.
Berkoune, D., Renaud, J., Rekik, M., & Ruiz, A. (2012). Transportation in disaster response operations. Socio-Economic Planning Sciences, 46(1), 23-32.
Bozorgi-Amiri, A., Tavakoli, S., Mirzaeipour, H., & Rabbani, M. (2017). Integrated locating of helicopter stations and helipads for wounded transfer under demand location uncertainty. The American journal of emergency medicine, 35(3), 410-417.
Brandão, J. (2016). A deterministic iterated local search algorithm for the vehicle routing problem with backhauls. TOP, 24(2), 445-465.
Bräysy, O., & Gendreau, M. (2002). Tabu search heuristics for the vehicle routing problem with time windows. Top, 10(2), 211-237.
Brotcorne, L., Laporte, G., & Semet, F. (2003). Ambulance location and relocation models. European journal of operational research, 147(3), 451-463.
Camacho-Vallejo, J. F., González-Rodríguez, E., Almaguer, F. J., & González-Ramírez, R. G. (2015). A bi-level optimization model for aid distribution after the occurrence of a disaster. Journal of Cleaner Production, 105, 134-145.
Campbell, A. M., Vandenbussche, D., & Hermann, W. (2008). Routing for relief efforts. Transportation Science, 42(2), 127-145.
Carnes, T. A., Henderson, S. G., Shmoys, D. B., Ahghari, M., & MacDonald, R. D. (2013). Mathematical programming guides air-ambulance routing at ornge. Interfaces, 43(3), 232-239.
Caunhye, A. M., Nie, X., & Pokharel, S. (2012). Optimization models in emergency logistics: A literature review. Socio-economic planning sciences, 46(1), 4-13.
Coppi, A., Detti, P., & Raffaelli, J. (2013). A planning and routing model for patient transportation in health care. Electronic notes in discrete mathematics, 41, 125-132.
Detti, P., Papalini, F., & de Lara, G. Z. M. (2017). A multi-depot dial-a-ride problem with heterogeneous vehicles and compatibility constraints in healthcare. Omega, 70, 1-14.
Edrissi, A., Poorzahedy, H., Nassiri, H., & Nourinejad, M. (2013). A multi-agent optimization formulation of earthquake disaster prevention and management. European Journal of Operational Research, 229(1), 261-275.
Edrissi, A., Nourinejad, M., & Roorda, M. J. (2015). Transportation network reliability in emergency response. Transportation research part E: logistics and transportation review, 80, 56-73.
Farahani, R. Z., Asgari, N., Heidari, N., Hosseininia, M., & Goh, M. (2012). Covering problems in facility location: A review. Computers & Industrial Engineering, 62(1), 368-407.
Gholami-Zanjani, S. M., Pishvaee, M. S., & Torabi, S. A. (2018). OR Models for Emergency Medical Service (EMS) Management. In Operations Research Applications in Health Care Management (pp. 395-421). Springer, Cham.
Gennarelli, T. A., & Wodzin, E. (2008). Abbreviated injury scale 2005: update 2008. Russ Reeder.
Gong, Q., & Batta, R. (2007). Allocation and reallocation of ambulances to casualty clusters in a disaster relief operation. IIE Transactions, 39(1), 27-39.
Holland, J. H. (1992). Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. MIT press.
Huang, M., Smilowitz, K., & Balcik, B. (2012). Models for relief routing: Equity, efficiency and efficacy. Transportation research part E: logistics and transportation review, 48(1), 2-18.
Knight, V. A., Harper, P. R., & Smith, L. (2012). Ambulance allocation for maximal survival with heterogeneous outcome measures. Omega, 40(6), 918-926.
Lai, D. S., Demirag, O. C., & Leung, J. M. (2016). A tabu search heuristic for the heterogeneous vehicle routing problem on a multigraph. Transportation Research Part E: Logistics and Transportation Review, 86, 32-52.
Lam, S. S. W., Nguyen, F. N. H. L., Ng, Y. Y., Lee, V. P. X., Wong, T. H., Fook-Chong, S. M. C., & Ong, M. E. H. (2015). Factors affecting the ambulance response times of trauma incidents in Singapore. Accident Analysis & Prevention, 82, 27-35.
Luis, E., Dolinskaya, I. S., & Smilowitz, K. R. (2012). Disaster relief routing: Integrating research and practice. Socio-economic planning sciences, 46(1), 88-97.
Marcon, E., Chaabane, S., Sallez, Y., Bonte, T., & Trentesaux, D. (2017). A multi-agent system based on reactive decision rules for solving the caregiver routing problem in home health care. Simulation Modelling Practice and Theory, 74, 134-151.
Nable, J. V., Lawner, B. J., & Brady, W. J. (2016). 2016: emergency medical services annotated literature in review. The American journal of emergency medicine, 34(11), 2193-2199.
Najafi, M., Eshghi, K., & Dullaert, W. (2013). A multi-objective robust optimization model for logistics planning in the earthquake response phase. Transportation Research Part E: Logistics and Transportation Review, 49(1), 217-249.
Özdamar, L., & Ertem, M. A. (2015). Models, solutions and enabling technologies in humanitarian logistics. European Journal of Operational Research, 244(1), 55-65.
Özdamar, L., & Demir, O. (2012). A hierarchical clustering and routing procedure for large scale disaster relief logistics planning. Transportation Research Part E: Logistics and Transportation Review, 48(3), 591-602.
Özdamar, L., Ekinci, E., & Küçükyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of operations research, 129(1-4), 217-245.
Parragh, S. N. (2011). Introducing heterogeneous users and vehicles into models and algorithms for the dial-a-ride problem. Transportation Research Part C: Emerging Technologies, 19(5), 912-930.
Parragh, S. N., Cordeau, J. F., Doerner, K. F., & Hartl, R. F. (2012). Models and algorithms for the heterogeneous dial-a-ride problem with driver-related constraints. OR spectrum, 34(3), 593-633.
Pedraza-Martinez, A. J., & Van Wassenhove, L. N. (2012). Transportation and vehicle fleet management in humanitarian logistics: challenges for future research. EURO Journal on Transportation and Logistics, 1(1-2), 185-196.
Qureshi, A. G., Taniguchi, E., & Yamada, T. (2010). Exact solution for the vehicle routing problem with semi soft time windows and its application. Procedia-Social and Behavioral Sciences, 2(3), 5931-5943.
Rath, S., & Gutjahr, W. J. (2014). A math-heuristic for the warehouse location–routing problem in disaster relief. Computers & Operations Research, 42, 25-39.
Roy, R. K. (2010). A primer on the Taguchi method. Society of Manufacturing Engineers.
Schmid, V., & Doerner, K. F. (2010). Ambulance location and relocation problems with time-dependent travel times. European journal of operational research, 207(3), 1293-1303.
Schmid, V. (2012). Solving the dynamic ambulance relocation and dispatching problem using approximate dynamic programming. European journal of operational research, 219(3), 611-621.
Setak, M., Habibi, M., Karimi, H., & Abedzadeh, M. (2015). A time-dependent vehicle routing problem in multigraph with FIFO property. Journal of Manufacturing Systems, 35, 37-45.
Shahriari, M., Bozorgi-Amiri, A., Tavakoli, S., & Yousefi-Babadi, A. (2017). Bi-objective approach for placing ground and air ambulance base and helipad locations in order to optimize EMS response. The American journal of emergency medicine, 35(12), 1873-1881.
Solomon, M. M. (1987). Algorithms for the vehicle routing and scheduling problems with time window constraints. Operations research, 35(2), 254-265.
Talarico, L., Meisel, F., & Sörensen, K. (2015). Ambulance routing for disaster response with patient groups. Computers & Operations Research, 56, 120-133.
Tikani, H., Honarvar, M., & Mehrjerdi, Y. Z. (2018). Developing an integrated hub location and revenue management model considering multi-classes of customers in the airline industry. Computational and Applied Mathematics, 37(3), 3334-3364.
Tlili, T., Harzi, M., & Krichen, S. (2017). Swarm-based approach for solving the ambulance routing problem. Procedia Computer Science, 112, 350-357.
Toro-DíAz, H., Mayorga, M. E., Chanta, S., & Mclay, L. A. (2013). Joint location and dispatching decisions for emergency medical services. Computers & Industrial Engineering, 64(4), 917-928.
Toth, P., & Vigo, D. (2002). The vehicle routing problem, Philadelphia: society for industrial and applied mathematics.
Yi, W., & Özdamar, L. (2007). A dynamic logistics coordination model for evacuation and support in disaster response activities. European Journal of Operational Research, 179(3), 1177-1193.
Zhang, Z., Liu, M., & Lim, A. (2015). A memetic algorithm for the patient transportation problem. Omega, 54, 60-71.
Zheng, Y. J., Chen, S. Y., & Ling, H. F. (2015). Evolutionary optimization for disaster relief operations: A survey. Applied Soft Computing, 27, 553-566.