Apostle Islands National Lakeshore: a Review of Search and Rescue and Emergency Medical Services Operations, 2006–2015

Small, Elan; Burbank, Sarah; Lorme, Jeanette M.; Karlson, Karl E.; Erickson, Timothy; Young, D. R.

doi:10.1016/j.wem.2017.08.017

Cited by 1 publication

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“…Large-scale emergencies often lead to a shortage of critical resources in the affected area, and emergency response in a time-critical, supply-scarce, and uncertain environment is a difficult and complex process that requires comprehensive consideration of fairness, reliability, and timeliness, as well as cost [8].…”

Section: Introductionmentioning

confidence: 99%

Emergency Resource Layout Planning Methodology with Multiple Constraints

Li,

Zhao

2023

Applied Mathematics and Nonlinear Sciences

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This paper first analyzes the characteristics and principles of the layout planning of emergency resources, explores the problems of emergency resource layout and distribution planning, and mentions the multi-constraint conditions of layout planning. Then, by describing the layout planning problem of emergency resources under multi-constraints and the related variable symbols, we constructed a two-layer layout planning model of emergency resources under multi-constraints, and after analyzing the particle swarm algorithm, we designed the layout planning model solving process based on particle swarm optimization. Finally, by constructing an emergency resource layout case, the centrality of the emergency resource layout network is explored, and the shortest distance and the best site selection of each emergency resource point corresponding to the demand point are divided. The results show that the structural degree centrality is between [0,0.78], the mileage degree centrality is between [0,1], the flow degree centrality is between [0.1,1], the structural median is between [0,0.32], the mileage median is between [0,2], and the structural proximity centrality and the mileage proximity centrality scores are both within the range of [0,1]. The shortest distribution distance of A, B, C, D, and E is selected to be only 393886m, and the error with the actual is around 0.009, which is able to carry out the layout planning effectively.

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Section: Introductionmentioning

confidence: 99%