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Aug 12, 2020
Temporary Parking Location Optimization Model Based on GIS
Authors: Ruonan Zhou [email protected], Liangjie Xu [email protected], Qunjie Peng [email protected], Xiaohan Wang [email protected], and Shen Li [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
With the rapid development of the social economy and the continuous improvement of people’s living standards, the number of private cars in China has been increasing year by year. Meanwhile, the conflicts of parking demand and supply are becoming more severe. At shopping malls, hospitals, and recreation centers, which are hot spots of parking demand, the phenomenon is much more evident. Planning temporary parking lots is one of the effective ways to alleviate the parking problem when the parking supply available can’t meet the parking demand. Taking parking activities around hot spots of parking demand as the research object, this paper determines the supersaturated parking demand within the study area through traffic surveys. Based on driver parking preference and geographic information system (GIS) spatial data analysis, the optimization model of temporary parking lot location is constructed. Finally, the optimal scheme of temporary parking is determined to alleviate the problem of parking difficulties in cities.
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© 2020 American Society of Civil Engineers.
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Published online: Aug 12, 2020
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1School of Transportation, Wuhan Univ. of Technology, Wuhan 430063, China; State Key Laboratory of Vehicle NVH and Safety Technology, China Automotive Engineering Research Institute Co. Ltd., Chongqing 401122, China. Email: [email protected]
2School of Transportation, Wuhan Univ. of Technology, Wuhan 430063, China. Email: [email protected]
3Shenzhen Transportation Design and Research Institute Co. Ltd., Shenzhen 518003, China. Email: [email protected]
4College of Transportation Engineering, Dalian Maritime Univ., Dalian 116026, China. Email: [email protected]
5Dept. of Civil and Environmental Engineering, Univ. of Wisconsin-Madison, Madison, WI 53705. Email: [email protected]
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