摘要
基于零售业POI数据,采用平均最近邻分析、核密度估计、空间自相关分析和基于网格的地理加权回归分析研究了杭州市零售业态的空间分布及其与经济发展的关系。研究结果如下:(1)杭州市零售业的空间分布特征整体偏向集聚,表现为主城区聚集,呈现中心三核与周围散点式的聚集特征,而在西南各区县,呈现小规模密集分布特征。(2)杭州市零售业各业态的空间集聚程度差异性明显,表现为中心城区核密度值高,范围大,而在西南区县呈现为低值小范围特征。(3)不同零售业POI对杭州市经济发展水平的作用程度存在空间异质性。汽车、摩托车、零配件和燃料及其他动力销售类影响程度最强,其次为家用电器及电子产品类/纺织、服装及日用品类/五金、家具及室内装饰材料类;在杭州市市中心的积极影响显著高于其他地区,而在西南区县的部分地带起着负作用。
Based on retail POI data,methods such as average nearest neighbor analysis,kernel density estimation,spatial autocorrelation analysis and geographically weighted regression analysis are employed to explore the spatial distribution of the retail industry in Hangzhou and its relationship with economic development.The results indicate that the spatial distribution characteristics of retail industry in Hangzhou are generally biased towards agglomeration,which is manifested in the agglomeration of the main urban area,featuring the aggregation characteristics of the central three cores and the surrounding scattered points,while in the southwest districts and counties,which is presented as characteristics of small-scale dense distribution.The spatial agglomeration degree of various retail formats in Hangzhou is obviously different,which is characterized by high core density and large range in the central urban area,while it is characterized by low value and small range in the southwest districts and counties.The overall nuclear density value of the three retail industries of comprehensive retail/textile,clothing and daily necessities/hardware,furniture and interior decoration materials in Hangzhou is relatively higher.Different retail POI has spatial heterogeneity in its impact on the level of economic development in Hangzhou.Automobile,motorcycle,spare parts,and fuel sales have the strongest impact,followed by household appliances and electronic products/textile,clothing and daily necessities/hardware,furniture,and interior decoration materials.The positive impact in the city center of Hangzhou is significantly higher than that in other regions,while in some areas of southwest counties,they have a negative impact.
作者
张紫燕
陈央圆
苏飞
刘航
ZHANG Ziyan;CHEN Yangyuan;SU Fei;LIU Hang(School of Tourism and Urban-rural Planning,Zhejiang Gongshang University,Hangzhou Zhejiang 310018,China;School of Architecture and Urban Planning,Huazhong University of Science and Technology,Hubei Engineering and Technology Research Center of Urbanization,Key Laboratory of City Simulation,Wuhan Hubei 430074,China)
出处
《河北省科学院学报》
CAS
2023年第5期75-84,共10页
Journal of The Hebei Academy of Sciences
关键词
零售业
POI数据
空间分布
回归分析
杭州市
Retail industry
POI data
Spatial distribution
Regression analysis
Hangzhou
