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作者

来源

JOURNAL OF URBAN PLANNING AND DEVELOPMENT,Vol.143,Issue040170184

语言

英文

关键字

Emergency logistics; Routing allocation; Evacuation planning; Time window; Multiobjective planning; DISASTER RELIEF OPERATIONS; HELICOPTER LOGISTICS; OPTIMIZATION

作者单位

[Yadollahnejad, Vahid; Jabalameli, Mohammadsaeed] Iran Univ Sci & Technol, Dept Ind Engn, POB 16846-13114, Tehran, Iran. [Bozorgi-Amiri, Ali] Univ Tehran, Coll Engn, Sch Ind Engn, POB 11155-4563, Tehran, Iran. Bozorgi-Amiri, A (reprint author), Univ Tehran, Coll Engn, Sch Ind Engn, POB 11155-4563, Tehran, Iran. E-Mail: vahid_y1366@yahoo.com; alibozorgi@ut.ac.ir; jabal@iust.ac.ir

摘要

In case of a disaster such as an earthquake, one of the major problems encountered is rescuing the wounded from the rubble. They need to be transferred to clinics and hospitals for additional treatment. Given the critical situation after the event, some challenging decisions are to be made regarding the number and routing of relief transportation vehicles, assigning wounded people to available vehicles, and transferring the injured from crisis-stricken points to clinic centers. The principal issues addressed in this paper include (1) dealing with patients who are suffering from various injuries; (2) temporal limitations proportional to their injury level (transfer time window); (3) simultaneous access to ground and air lines of transport; and (4) the possibility of transferring patients with different levels of injury to the assigned clinics by one vehicle at the same time. This research introduces a multiobjective approach to identify the wounded, evacuation routes, and number of vehicles for evacuation planning. Through the application of a two-objective routing-allocation model, an attempt was made to reduce the total time of rescue operations and the total cost of preparing disaster-relief vehicles. Because the problem type was a nondeterministic polynomial-time-hard one, this paper applies the modified simulated annealing metaheuristic algorithm to solve the problem. Finally, in order to assess the applicability and efficiency of this algorithm, calculation time and objective function value are compared with the results obtained from software. (C) 2017 American Society of Civil Engineers.