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作 者:张伟[1] 杨琴[1] 曹策俊 赵欢 潘世凌 ZHANG Wei;YANG Qin;CAO Cejun;ZHAO Huan;PAN Shiling(School of Business,Sichuan Normal University,Chengdu Sichuan 610101,China;School of Business Planning,Chongqing Technology and Business University,Chongqing 400067,China;School of Economics Management,Sichuan Technology and Business University,Chengdu Sichuan 611745,China)
机构地区:[1]四川师范大学商学院,四川成都610101 [2]重庆工商大学商务策划学院,重庆400067 [3]四川工商学院经济管理学院,四川成都611745
出 处:《中国安全科学学报》2019年第12期158-164,共7页China Safety Science Journal
基 金:国家自然科学基金资助(71904021);2020年度教育部人文社会科学研究规划基金资助;四川省哲学社会科学“十三五”规划项目(SC18B093);2017年四川师范大学大学生创新创业训练计划项目。
摘 要:为提高应急响应过程的救援效率和质量,在研究应急资源调度问题时,采用考虑不同受灾群众的风险感知度和应急瓶颈资源效率的方法,制定合理的调度方案。首先,细分应急响应过程和受灾群众类型,从资源环境、任务约束和优化目标等3个方面描述应急资源调度问题;然后,基于前景理论(PT)刻画受灾群众行为,构建风险感知度函数,建立0-1非线性多目标整数规划模型;最后,采用遗传算法仿真求解模型,并进行帕累托和敏感性分析。结果表明:在应急资源调度过程中考虑不同受灾群众的风险感知度与应急瓶颈资源的效率,有助于降低受灾群众的风险感知度,提高救援效率和决策质量。To improve rescue efficiency and quality of the emergency response process,risk perception of different types of victims and the efficiency of emergency bottleneck resources need to be considered in research regarding the emergency resource scheduling problem,thereby a reasonable scheduling scheme can be formulated.Firstly,the emergency response stages and types of victims were subdivided,and the emergency resources scheduling problem was described from three aspects:resource environment,task constraints and optimization objectives.Next,the Prospect Theory(PT)was used to characterize the victims’behaviors and construct the risk perception function,and then the 0-1 nonlinear multi-objective integer programming model was established.Furthermore,genetic algorithm was used to simulate the problem,and the computational results were portrayed by Pareto and sensitivity analysis.The results show that in emergency resource scheduling process,considering the risk perception of different types of victims and the efficiency of emergency bottleneck resources can help to reduce victims’risk perception and improve the rescue efficiency and decision-making quality.
关 键 词:优化调度 系统效率 整数规划模型 应急瓶颈资源 风险感知度
分 类 号:X913.1[环境科学与工程—安全科学]
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