2022
DOI: 10.3390/ijerph191912293
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Spatial Allocation Method of Evacuation Guiders in Urban Open Public Spaces: A Case Study of Binjiang Green Space in Xuhui District, Shanghai, China

Abstract: Evacuation guiders play an important role when emergency events occur in urban open public spaces. Considering the shortcomings of the existing studies, an optimization method based on the Particle Swarm Optimization (PSO) algorithm and gradual covering model for spatial allocation of evacuation guiders in urban open public spaces is proposed. This method considers the impact of obstacles on intervisibility between guiders and evacuees, and the non-linear changing characteristics of the evacuation guiding qual… Show more

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Cited by 4 publications
(3 citation statements)
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“…Network analysis is an analytical and computational method that utilizes network topological relationships, spatial and attribute data, and mathematical theoretical models for multifaceted studies. In Geographic Information Systems (GISs), network analysis is a module for calculating shortest paths, service areas, facility points, location relationships, etc., based on geographic networks (e.g., transportation networks) [28]. Network analysis can optimize resource allocation by simulating realistic transportation modes like walking, cycling, and transit.…”
Section: Network Analysis Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Network analysis is an analytical and computational method that utilizes network topological relationships, spatial and attribute data, and mathematical theoretical models for multifaceted studies. In Geographic Information Systems (GISs), network analysis is a module for calculating shortest paths, service areas, facility points, location relationships, etc., based on geographic networks (e.g., transportation networks) [28]. Network analysis can optimize resource allocation by simulating realistic transportation modes like walking, cycling, and transit.…”
Section: Network Analysis Methodsmentioning
confidence: 99%
“…Network analysis can optimize resource allocation by simulating realistic transportation modes like walking, cycling, and transit. The essential elements of network analysis include centers, connections, nodes, and resistance, which are used to determine the interrelationships and accessibility between spatial goals by constructing road network datasets [28,29].…”
Section: Network Analysis Methodsmentioning
confidence: 99%
“…In this study, the particle swarm optimization (PSO) algorithm was employed to identify the optimal site for a newly planned urban PGS. PSO, also known as the bird swarm foraging algorithm, was initially proposed by Eberhart and Kennedy in 1995 and has gained extensive applications in facility location optimization [70,71]. The fundamental concept of PSO is derived from the investigation of bird flock foraging behavior.…”
Section: Particle Swarm Optimization Algorithmmentioning
confidence: 99%