考虑区域公平性的路网应急响应可靠性优化研究
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摘要
在资源约束下巩固优化路网,以提高灾后路网应急响应可靠性,对保证救援工作的高效开展具有重要意义。为合理地评估获救总人数,结合地理结构及社会特征、应急响应机制等方面,构建考虑区域公平性的路网应急响应机制模型,并以获救总人数为衡量标准评价路网可靠性,确定路段重要值;再根据路网改进计划模型得出路网优化方案,采取加权的获救总人数指标验证路网可靠性优化的有效性。最后,以四川省某市的6个区为例验证模型的实用性。结果表明,考虑区域公平性的路网应急响应可靠性优化方法能够使一些偏远且应急储备不足的地区受到重视,优化后的获救人数显著增加,路网可靠性得到大幅提高。
Consolidating and optimizing the road network under resource constraints can improve the reliability of the road network emergency response, and it is of great significance to ensure the efficient implementation of rescue work. To evaluate the total number of people rescued reasonably, combining with the geographical structure, social characteristics and emergency response mechanism, etc., we construct a road network emergency response mechanism model that considers regional equity, evaluate the reliability of the road network based on the total number of people rescued, and further determine the important value of road section. Then, the road network improvement plan model is proposed to obtain the road network optimization plan, and the weighted total number of rescued indicators is used to verify the effectiveness of the road network reliability optimization. Finally, the practicality of the model is verified by taking 6 districts of a city in Sichuan Province as an example. The results show that the reliability optimization method considering regional equity can take some remote areas with insufficient reserves more attention, after optimization, the number of people rescued in disaster emergency response and the reliability of road network increase significantly.
Consolidating and optimizing the road network under resource constraints can improve the reliability of the road network emergency response, and it is of great significance to ensure the efficient implementation of rescue work. To evaluate the total number of people rescued reasonably, combining with the geographical structure, social characteristics and emergency response mechanism, etc., we construct a road network emergency response mechanism model that considers regional equity, evaluate the reliability of the road network based on the total number of people rescued, and further determine the important value of road section. Then, the road network improvement plan model is proposed to obtain the road network optimization plan, and the weighted total number of rescued indicators is used to verify the effectiveness of the road network reliability optimization. Finally, the practicality of the model is verified by taking 6 districts of a city in Sichuan Province as an example. The results show that the reliability optimization method considering regional equity can take some remote areas with insufficient reserves more attention, after optimization, the number of people rescued in disaster emergency response and the reliability of road network increase significantly.
引文
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[2]吴六三,谭清美.基于网络熵的应急物流网络稳定性研究[J].当代财经,2012(7):60-68.WU Liu-san,TAN Qing-mei.A Study of the Stability of Emergency Logistics Network based on Network Entropy[J].Contemporary Finance&Economics,2012(7):60-68.
[3]王倩,曾俊伟,钱勇生,等.基于复杂网络的西北地区铁路换乘网联通可靠性分析[J].铁道运输与经济,2016,38(5):31-38.WANG Qian,ZENG Jun-wei,QIAN Yong-sheng,et al.Connectivity Reliability Analysis of Railway Transfer Network in Northwest China based on Complex Network Theory[J].Railway Transport and Economy,2016,38(5):31-38.
[4]ASAKURA Y.Reliability Measures of an Origin and Destination Pair in a Deteriorated Road Network with Variable Flows’[J].Transportation Networks:Recent Methodological Advances,2006,2(3):273-288.
[5]刘海旭,蒲云.基于关键路段的路网可靠性的改进[J].西南交通大学学报,2006,41(5):645-648.LIU Hai-xu,PU Yun.Improvement of Road Network Reliability based on Critical Links[J].Journal of Southwest Jiaotong University,2006,41(5):645-648.
[6]PEETA S,SIBEL SALMAN F,GUNNEC D,et al.Predisaster Investment Decisions for Strengthening a Highway Network[J].Computers&Operations Research,2010,37(10):1708-1719.
[7]陈莹珍,赵秋红.基于公平原则的应急物资分配模型与算法[J].系统工程理论与实践,2015,35(12):3065-3073.CHEN Ying-zhen,ZHAO Qiu-hong.The Model and Algorithm for Emergency Supplies Distribution based on Fairness[J].Systems Engineering Theory&Practice,2015,35(12):3065-3073.
[8]姚恩婷,孟燕萍,林国龙.基于BP神经网络的受灾点的需求紧迫性分级方法[J].灾害学,2016,31(3):211-216.YA O E n-t i n g,M E N G Ya n-p i n g,L I N G u o-l o n g.Classification Method of Demand Urgency of the Affected Points based on the BP[J].Journal of Catastrophology,2016,31(3):211-216.
[9]EDRISSI A,POORZAHEDY H,NASSIRI H,et al.AMulti-agent Optimization Formulation of Earthquake Prevention and Management[J].European Journal of Operational Research,2013,229(1):261-275.
[10]罗钦,杨永泰,莫义弘,等.城市轨道交通行车调度应急辅助决策系统的设计与实现[J].铁道运输与经济,2017,39(2):85-89.LUO Qin,YANG Yong-tai,MO Yi-hong,et al.Design and Realization of Emergency Auxiliary Decision-Making System of Traffic Control for Urban Rail Transit[J].Railway Transportation and Economy,2017,39(2):85-89.