摘要
电子商务的盛行助推着下游环节的快递行业迅速发展,研究其空间格局和影响因素具有重要意义。本文基于POI数据,运用核密度估计、空间自相关和地理加权回归模型从微观尺度探究成都市中心城区快递服务网点的空间格局及影响因素。结果表明:网点的空间分布存在空间正相关关系,整体上表现为“中心为主,多核集聚”的空间分布格局;不同类型快递网点呈现出不同的分布特征,且受地区经济发展水平、人口密度和规模、土地利用类型、交通便捷条件等多重因素影响。
The prevalence of e-commerce has boosted the rapid development of the express delivery industry in the downstream link.It is of great significance to study its spatial pattern and influencing factors.Based on POI data,this paper uses kernel density estimation,spatial autocorrelation and geographically weighted regression model to explore the spatial pattern and influencing factors of express service outlets in the central urban area of Chengdu from the micro scale.The results show that there is a positive spatial correlation in the spatial distribution of outlets,and the overall spatial distribution pattern is"center-based,multi-core agglomeration",different types of express outlets show different distribution characteristics,and are affected by multiple factors such as regional economic development level,population density and scale,land use type,and convenient transportation conditions.
作者
夏文亮
朱勤东
刘敏
张辉
XIA Wenliang;ZHU Qindong;LIU Min;ZHANG Hui(Fuzhou University,Academy of Digital China(Fujian),Fuzhou 350108,China)
出处
《测绘与空间地理信息》
2023年第3期42-46,共5页
Geomatics & Spatial Information Technology
基金
福建省海洋与渔业局福建省海洋经济发展补助资金项目--中国台湾海峡西岸渔业生态与资源监测预警系统建设与业务化应用示范(一期)(ZHHY-2020-1)资助。
关键词
快递服务网点
POI
空间集聚
地理加权回归
express service outlets
POI
spatial agglomeration
geographically weighted regression