摘要
随着技术变革,新零售的发展对城市区位选择产生差异化需求,成为后疫情时代商业规划和城市建设的重要研究问题。为了厘清新零售的差异化选址战略,本文基于空间分析和多尺度地理加权回归的方法,对比研究南京市罗森、便利蜂和京东三种品牌便利店的空间分布特征及其影响机制。研究发现,南京市这三类便利店在空间分布模式上差异较大,呈现"罗森单中心集聚、便利蜂多中心集聚、京东便利店多点分布"的特点,在影响机制上,人口、交通和地价因素在不同尺度和不同程度上影响三类便利店的分布。本文考虑了新零售与传统零售布局上的差异,为新零售行业商业规划和选址优化决策提供了有效依据和借鉴。
With the change of technology,the development of new retailhas created differentiated choices for location,which has become a major issue in commercial planning and urban construction in the post-epidemic era. In this paper,we study the spatial distribution of street and township of three new branded convenience stores, namely LAWSON, Convenience Bee and JD Convenience Store,and their influence mechanisms in Nanjing based on spatial analysis and multi-scale geographically weighted regression comparison. The study finds that the distribution patterns of the three types of convenience stores in Nanjing differ significantly,showing the characteristics of " single-center clustering of LAWSON,multi-center clustering of Convenience Bee,and multi-point distribution of JD convenience stores ";the driving mechanisms show that population,transportation,and land price factors influence the distribution of the three types of convenience stores at different scales and to different degrees. In terms of research methodology,MGWR can take into account the heterogeneous scale of coefficient differentiation,and the model performance is more reliable than GWR.This paper considers the differences in the layout of new retail and traditional retail,which can provide a basis and reference for business planning and site selection optimization decisions.
作者
原榕
石飞
YUAN Rong;SHI Fei
出处
《城市问题》
CSSCI
北大核心
2021年第8期72-82,共11页
Urban Problems
基金
国家自然科学基金项目(51778277)。
关键词
新零售
便利店
空间分布
多尺度地理加权回归
new retail
convenience stores
spatial distribution
Multi-scale Geographically Weighted Regression
