[1]杨建平,张程凯,周玉琳.成渝城市群人居环境空间关联的网络结构及影响因素研究[J].西安建筑科技大学学报(自然科学版),2023,55(06):938-948.[doi:10.15986/j.1006-7930.2023.06.018]
 YANG Jianping,ZHANG Chengkai,ZHOU Yulin.Research on the spatial correlation network structure and influencing factors of human settlements in ChengduChongqing urban agglomeration[J].J. Xi’an Univ. of Arch. & Tech.(Natural Science Edition),2023,55(06):938-948.[doi:10.15986/j.1006-7930.2023.06.018]
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成渝城市群人居环境空间关联的网络结构及影响因素研究()
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西安建筑科技大学学报(自然科学版)[ISSN:1006-7930/CN:61-1295/TU]

卷:
55
期数:
2023年06期
页码:
938-948
栏目:
出版日期:
2023-12-28

文章信息/Info

Title:
Research on the spatial correlation network structure and influencing factors of human settlements in ChengduChongqing urban agglomeration
文章编号:
1006-7930(2023)06-0938-11
作者:
杨建平张程凯周玉琳
(西安建筑科技大学 管理学院,陕西 西安 710055)
Author(s):
YANG JianpingZHANG ChengkaiZHOU Yulin
(School of Management,Xi′an Univ of Arch.& Tech.,Xi′an 710055,China)
关键词:
人居环境空间关联网络影响因素社会网络成渝城市群
Keywords:
human settlement environment spatial association network influencing factors social network Chengdu-Chongqing urban agglomeration
分类号:
TU982.29
DOI:
10.15986/j.1006-7930.2023.06.018
文献标志码:
A
摘要:
利用2008—2019年成渝城市群16个城市的面板数据,构建人居环境指标体系,借助修正引力模型,采用社会网络分析方法对成渝城市群人居环境空间关联网络的结构特征及影响因素进行研究,结果发现:①样本周期内,成渝城市群人居环境空间关联性显著提升,网络密度由0.12,增长到0.73,关联关系数由29增加到174,目前已呈现出复杂的网络结构形态;②成都、重庆、内江和资阳等城市位于网络的核心位置,发挥着重要的中介作用,但随着节点城市中心性水平的提高,“桥梁”作用正逐渐减弱;③人居环境空间关联网络被划分5个等级,然而大多数城市位于第三、四层级,重庆市人居环境的辐射带动潜力有待进一步挖掘;④城市距离、经济发展水平差异对空间关联性起到显著负向影响,而城镇化水平差异、政府投入差异、人均收支水平差异、产业结构差异的扩大可以促进城市间人居空间关联关系的建立.
Abstract:
Based on the panel data of 16 cities in Chengdu-Chongqing urban agglomeration from 2008 to 2019, the indicator system of human settlements was constructed. With the help of the modified gravity model, the structural characteristics and influencing factors of the spatial association network of human settlements in Chengdu Chongqing urban agglomeration were studied by using social network analysis method. The results showed that:①In the sample period, the spatial association of human settlements in Chengdu Chongqing urban agglomeration was significantly improved, and the network density increased from 0.12 to 0.73, The number of association relations has increased from 29 to 174, which has now taken on a complex network structure.②Cities such as Chengdu, Chongqing, Neijiang and Ziyang are at the core of the network and play an important intermediary role. However, with the improvement of the centrality of node cities, the role of “bridge” is gradually weakening.③The spatial association network of human settlements is divided into five levels. However, most cities are in the third and fourth levels. The radiation driving potential of Chongqing′s human settlements needs to be further explored.④The difference of urban distance and economic development level has a significant negative impact on spatial correlation, while the expansion of urbanization level difference, government investment difference, per capita income and expenditure level difference and industrial structure difference can promote the spatial correlation of human settlements among cities.

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备注/Memo

备注/Memo:
收稿日期:2022-10-10修回日期:2023-11-27
基金项目:教育部人文社科基金青年项目(20YJC630239);国家自然科学基金项目(72004176)
第一作者:杨建平(1969—),男,博士,教授,主要从事区域发展与绿色宜居城乡营建管理研究.E-mail: yangjp17@xauat.edu.cn
通信作者:张程凯(1998—),男,硕士生,主要研究城市人居环境.E-mail: 994950392@qq.com
更新日期/Last Update: 2024-02-01