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南京市实体书店空间分布特征及影响因素分析

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实体书店作为城市气质代表者,其空间分布格局对于营造城市文学氛围具有重要意义.综合运用核密度估计法、空间自相关和地理加权回归模型,分析了南京市实体书店的空间分布和影响因素.结果表明,南京市实体书店空间分布层次明显,整体呈现"中间密四周疏"的分布格局.全局空间自相关显著,局部关联性以H-H类型特征为主.不同因素对实体书店的空间分布影响差异较大,其中公交站点密度、路网密度、距最近地铁站距离、距最近高等级景区距离及距最近商场距离对实体书店空间分布产生积极影响,而距最近高校距离对实体书店空间分布产生消极影响.
Spatial Distribution Characteristics and Influencing Factors of Physical Bookstores in Nanjing
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.

physical bookstoregeographically weighted regressionspatial autocorrelationspatial distribution

郝添鑫、侯国林、贾添羽

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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

北京理工大学经济学院,北京 100081

实体书店 地理加权回归 空间自相关 空间分布

国家自然科学基金江苏省文化和旅游科研课题

4177115121WT03

2024

南京师范大学学报(工程技术版)
南京师范大学

南京师范大学学报(工程技术版)

影响因子:0.313
ISSN:1672-1292
年,卷(期):2024.24(2)
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