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南京市实体书店空间分布特征及影响因素分析

郝添鑫 侯国林 贾添羽

南京师范大学学报(工程技术版)2024,Vol.24Issue(2):50-58,9.
南京师范大学学报(工程技术版)2024,Vol.24Issue(2):50-58,9.DOI:10.3969/j.issn.1672-1292.2024.02.007

南京市实体书店空间分布特征及影响因素分析

Spatial Distribution Characteristics and Influencing Factors of Physical Bookstores in Nanjing

郝添鑫 1侯国林 2贾添羽3

作者信息

  • 1. 南京师范大学地理科学学院,江苏 南京 210023
  • 2. 南京师范大学地理科学学院,江苏 南京 210023||南京师范大学江苏省地理信息资源开发与利用协同创新中心,江苏 南京 210023
  • 3. 北京理工大学经济学院,北京 100081
  • 折叠

摘要

Abstract

Physical bookstores are the representative of urban temperament,so their spatial distribution pattern is of great significance to the construction of urban literary atmosphere.This study comprehensively uses kernel density estimation,spatial autocorrelation and geographically weighted regression models to analyze the spatial distribution and influencing factors of physical bookstores in Nanjing.The results show that the spatial distribution of physical bookstores in Nanjing is obvious in hierarchy,and that the overall distribution pattern is"dense in the middle and sparse in the periphery".The global spatial autocorrelation is significant,and the local correlation is mainly H-H type.Different factors have great differences on the spatial distribution of physical bookstores.Among them,the density of bus stops,the density of road network,the distance from the nearest subway station,the distance from the nearest high-level scenic spot and the distance from the nearest shopping mall have a positive impact on the spatial distribution of physical bookstores,while the distance from the nearest university has a negative impact on the spatial distribution of physical bookstores.

关键词

实体书店/地理加权回归/空间自相关/空间分布

Key words

physical bookstore/geographically weighted regression/spatial autocorrelation/spatial distribution

分类

管理科学

引用本文复制引用

郝添鑫,侯国林,贾添羽..南京市实体书店空间分布特征及影响因素分析[J].南京师范大学学报(工程技术版),2024,24(2):50-58,9.

基金项目

国家自然科学基金项目(41771151)、江苏省文化和旅游科研课题项目(21WT03). (41771151)

南京师范大学学报(工程技术版)

1672-1292

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