Multi-objective decision of emergency resource allocation and site selection for hazardous chemical transportation accidents

doi:10.16265/j.cnki.issn1003-3033.2022.S1.0505

Abstract

Abstract:

In order to solve facility location configuration and emergency resource allocation problems for road transport accidents of hazardous chemicals and improve the emergency rescue capability rapidly, a new multi-objective decision making model for emergency resource allocation and location selection of hazardous chemical road transport accidents based on maximum road network coverage was proposed. In order to maximize the expected total revenue of each emergency demand point covered by the emergency resources, the factors of emergency response time and emergency resource coverage limit and emergency handling capacity were introduced to describe uncertainty in supply and demand for emergency resources considering the randomness and dynamics of the allocation and location of emergency resources. An artificial immune algorithm was employed to solve the rational location-allocation of emergency resources, which can be used to find out the Pareto optimal solution set of the multi-objective model effectively. The results show that the model constructed in this paper can maximize the comprehensive efficiency of accident emergency treatment on the premise of ensuring the timeliness of emergency supplies. It provides a theoretical reference and decision-making basis for relevant departments to plan the distribution of emergency resources rationally.

Key words: hazardous chemical, transport accident, emergency resource, location configuration, multi-objective decision making

WANG Bin, ZHOU Danhua, TIAN Ran. Multi-objective decision of emergency resource allocation and site selection for hazardous chemical transportation accidents[J]. China Safety Science Journal, 2022, 32(S1): 197-201.

Figures/Tables 4

Tab.1

Fig.1

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Tab.2

References 10

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节点	节点坐标	λ_i	q_i	p_i	节点	节点坐标	λ_i	q_i	p_i
1	(1 304,2 312)	4	20	1 550	17	(3 918,2 179)	4	90	1 810
2	(3 639,1 315)	3	90	1 800	18	(4 061,2 370)	9	70	2 790
3	(4 177,2 244)	4	90	1 850	19	(3 780,2 212)	8	100	4 800
︙	︙	︙	︙	︙	︙	︙	︙	︙	︙
14	(2 381,1 676)	6	40	2 700	30	(2 778,2 826)	5	50	1 960
15	(1 332,695)	5	20	1 830	31	(2 370,2 975)	6	30	1 460
16	(3 715,1 678)	6	80	2 820	—	—	—	—	—

对比项	R
对比项	5	10	14	19	23	28	33	37	42	46
覆盖收益	3 358	12 243	24 997	49 048	73 952	107 201	140 052	163 625	188 916	205 759
文献[4]覆盖收益	3 213	11 566	24 580	49 143	73 796	107 208	140 052	163 625	188 916	205 805
优化值	145	677	417	-95	156	-7	0	0	0	-46
优化率/%	4.51	5.85	1.70	-0.19	0.21	-0.01	0.00	0.00	0.00	-0.02

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