摘要
为优化昆明市共享单车运维资源分配,采用GIS中的核密度分析、聚类与异常值分析等方法,分析昆明市区共享单车分布特征,并对运维资源进行优化分配。研究表明:昆明市区共享单车目前存在的主要问题是乱停乱放和车身张贴小广告等问题,说明目前昆明市区的运维资源的空间布局有待优化;运维资源的空间分布在官渡区、五华区、盘龙区、西山区占比最多,都达到了15%以上,经开区最少运维资源占比仅为5.94%,该研究结果可为昆明市区共享单车运维调度管理提供参考。
In order to optimize the distribution of shared bike operation and maintenance resources in Kunming City,we used the kernel density analysis,clustering and outlier analysis methods in GIS to analyze the distribution characteristics of shared bikes in Kunming urban area,and op-timized the allocation of operation and maintenance resources.The results show that①the main problems existing in the urban area of Kunming are random parking and placing and small advertisements posted on the car body,which reflects that the spatial layout of operation and mainte-nance resources in the urban area of Kunming needs to be optimized.②The spatial distribution of operation and maintenance resources in Guan-du District,Wuhua District,Panlong District and Xishan District accounts for more than 15%,while the least operation and maintenance resourc-es in Jingkai District account for only 5.94%.The research results can provide reference for the operation,maintenance and scheduling manage-ment of shared bikes in Kunming.
作者
秦红富
谈树成
施旖奇
王超
金小海
QIN Hongfu;TAN Shucheng;SHI Yiqi;WANG Chao;JIN Xiaohai(School of Earth Sciences,Yunnan University,Kunming 650500,China)
出处
《地理空间信息》
2022年第10期45-48,106,共5页
Geospatial Information
基金
云南省教育厅科学研究基金资助项目(2021Y005)。
关键词
GIS
核密度分析
聚类
资源优化
GIS
kernel density analysis
clustering
resource optimization