Spatial Distribution Pattern and Influencing Factors of Physical Bookstores of Large Cities: A Case Study of Three National Central Cities in Western China

IF 3.4 2区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Ruikuan Liu, Jiuquan Li, Fang Chang, Jiayao Ma
{"title":"Spatial Distribution Pattern and Influencing Factors of Physical Bookstores of Large Cities: A Case Study of Three National Central Cities in Western China","authors":"Ruikuan Liu, Jiuquan Li, Fang Chang, Jiayao Ma","doi":"10.1007/s11769-023-1393-6","DOIUrl":null,"url":null,"abstract":"<p>As cultural facilities, physical bookstore is an important part of urban infrastructure. Influenced by the development of social economy and the internet, physical bookstores also have become a combination of cultural space and tourism experience. In this case, it is necessary to explore the spatial characteristics and influencing factors of physical bookstores. This study uses Density-Based Spatial Clustering of Applications with Noise (DBSCAN), spatial analysis and geographical detectors to calculate the spatial distribution pattern and factors influencing physical bookstores in national central cities/municipality (hereafter using cities) in western China. Based on spatial data, population density, road density and other data, this study constructed a data set of the influencing factors of physical bookstores, consisting of 11 factors along 6 dimensions for 3 national central cities in western China. The results are as follows: first, the spatial distribution pattern of physical bookstores in Xi’an, Chengdu, and Chongqing is unbalanced. The spatial distribution of physical bookstores in Xi’an and Chongqing is from southwest to northeast and are relatively clustered, while those in Chengdu are relatively discrete. Second, the spatial distribution pattern of physical bookstores has been formed under the influence of different factors. The intensity and significance of influencing factors differ in the case cities. However, in general, the social factor, business factor, the density of research facilities, tourism factor and road density are the main driving factors in the three cities. There is a synergistic relationship between public libraries and physical bookstores. Third, the explanatory power becomes stronger after the interaction between various factors. In Xi’an and Chengdu, the density of communities and the density of research facilities have stronger explanatory power for the dependent variable after interacting with other factors. However, in Chongqing, the traffic factors have stronger explanatory power for the dependent variable after interacting with other factors. The results could provide a practical reference for the sustainable development of physical bookstores and encourage a love of reading among the public.</p>","PeriodicalId":55258,"journal":{"name":"Chinese Geographical Science","volume":"24 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Geographical Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s11769-023-1393-6","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

As cultural facilities, physical bookstore is an important part of urban infrastructure. Influenced by the development of social economy and the internet, physical bookstores also have become a combination of cultural space and tourism experience. In this case, it is necessary to explore the spatial characteristics and influencing factors of physical bookstores. This study uses Density-Based Spatial Clustering of Applications with Noise (DBSCAN), spatial analysis and geographical detectors to calculate the spatial distribution pattern and factors influencing physical bookstores in national central cities/municipality (hereafter using cities) in western China. Based on spatial data, population density, road density and other data, this study constructed a data set of the influencing factors of physical bookstores, consisting of 11 factors along 6 dimensions for 3 national central cities in western China. The results are as follows: first, the spatial distribution pattern of physical bookstores in Xi’an, Chengdu, and Chongqing is unbalanced. The spatial distribution of physical bookstores in Xi’an and Chongqing is from southwest to northeast and are relatively clustered, while those in Chengdu are relatively discrete. Second, the spatial distribution pattern of physical bookstores has been formed under the influence of different factors. The intensity and significance of influencing factors differ in the case cities. However, in general, the social factor, business factor, the density of research facilities, tourism factor and road density are the main driving factors in the three cities. There is a synergistic relationship between public libraries and physical bookstores. Third, the explanatory power becomes stronger after the interaction between various factors. In Xi’an and Chengdu, the density of communities and the density of research facilities have stronger explanatory power for the dependent variable after interacting with other factors. However, in Chongqing, the traffic factors have stronger explanatory power for the dependent variable after interacting with other factors. The results could provide a practical reference for the sustainable development of physical bookstores and encourage a love of reading among the public.

大城市实体书店空间分布格局及影响因素——以西部三个国家级中心城市为例
实体书店作为文化设施,是城市基础设施的重要组成部分。受社会经济和互联网发展的影响,实体书店也成为文化空间和旅游体验的结合。在这种情况下,有必要探讨实体书店的空间特征及其影响因素。本研究采用基于密度的空间聚类方法(DBSCAN)、空间分析和地理探测器等方法,计算了西部地区国家级中心城市(以下简称城市)实体书店的空间分布格局及其影响因素。基于空间数据、人口密度、道路密度等数据,构建了西部3个国家级中心城市实体书店影响因素数据集,包括6个维度的11个影响因素。研究结果表明:①西安、成都、重庆三市实体书店空间分布格局不均衡;西安和重庆的实体书店空间分布从西南向东北方向呈相对集聚性,而成都的实体书店空间分布相对离散性。二是在多种因素的影响下,形成了实体书店的空间分布格局。影响因素的强度和显著性在不同城市之间存在差异。但总体而言,社会因素、商业因素、科研设施密度、旅游因素和道路密度是三个城市的主要驱动因素。公共图书馆与实体书店之间存在着一种协同关系。三是各因素相互作用后解释力增强。在西安和成都,社区密度和科研设施密度与其他因子相互作用后对因变量的解释能力更强。而在重庆,交通因素与其他因素相互作用后,对因变量的解释能力更强。研究结果可为实体书店的可持续发展提供实践参考,促进大众对阅读的热爱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Chinese Geographical Science
Chinese Geographical Science 环境科学-环境科学
CiteScore
6.10
自引率
5.90%
发文量
63
审稿时长
3.0 months
期刊介绍: Chinese Geographical Science is an international journal, sponsored by Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, and published by Science Press, Beijing, China. Chinese Geographical Science is devoted to leading scientific and technological innovation in geography, serving development in China, and promoting international scientific exchange. The journal mainly covers physical geography and its sub-disciplines, human geography and its sub-disciplines, cartography, remote sensing, and geographic information systems. It pays close attention to the major issues the world is concerned with, such as the man-land relationship, population, resources, environment, globalization and regional development.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信