Particle swarm optimization based spatial location allocation of urban parks - A case study in Baoshan District, Shanghai, China

Jia Yu, Yun Chen, Jianping Wu, Rui Liu, Hui Xu, Dongjing Yao, Jing Fu

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

4 Citations (Scopus)

Abstract

This paper introduces a spatial location allocation (SLA) method for urban parks based on Particle Swarm Optimization (PSO). PSO is an effective optimization method on the basis of swarm intelligence. The algorithms of it are population based random search algorithms inspired by the social behavior of bird flocks. Compared with the other artificial intelligence (AI) algorithms, PSO is simple, easy to implement, needs fewer parameters. In the problem of SLA for urban park, three factors: population density, accessibility and competitiveness, were considered to configure a specified number of parks in this study. To find the locations of parks which satisfy these requirements, the calculation of SLA using the traditional overlaying method is with high complexity. The PSO method can decrease the complexity of computation and locate a set of parks in reasonable time. A case study in Baoshan District of Shanghai, China was proposed. The service area analysis of the simulation result of urban parks convinced that the result can confirm the fairness of public green-space service and the PSO method is a practicable and efficient approach in SLA problem. The method can easily be extended for other service facilities, for instance, the location allocation of water-saving irrigation systems, agriculture service centers, hospitals, supermarkets and cinemas, etc.

Original languageEnglish
Title of host publication2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Electronic)9781479941575
DOIs
Publication statusPublished - 25 Sept 2014
Externally publishedYes
Event2014 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014 - Beijing, China
Duration: 11 Aug 201414 Aug 2014

Publication series

Name2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014

Conference

Conference2014 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014
Country/TerritoryChina
CityBeijing
Period11/08/1414/08/14

Fingerprint

Dive into the research topics of 'Particle swarm optimization based spatial location allocation of urban parks - A case study in Baoshan District, Shanghai, China'. Together they form a unique fingerprint.

Cite this