长江流域资源与环境 >> 2022, Vol. 31 >> Issue (5): 983-994.doi: 10.11870/cjlyzyyhj202205004

• 区域可持续发展 • 上一篇    下一篇

长江中游城市群人居环境空间关联网络结构及其驱动因素

邵海琴,王兆峰*   

  1. (湖南师范大学旅游学院,湖南 长沙 410081)
  • 出版日期:2022-05-20 发布日期:2022-06-01

Spatial Network Structure of Human Settlement Environment and Its Driving Factors of Urban Agglomerations in Middle Reaches of Yangtze River

SHAO Hai-qin, WANG Zhao-feng   

  1. (Tourism College of Hunan Normal University, Changsha 410081, China)
  • Online:2022-05-20 Published:2022-06-01

摘要: 准确把握城市群人居环境空间关联网络结构及其影响因素对促进人居环境协调可持续发展具有重要意义。在引入修正的引力模型构建长江中游城市群人居环境空间关联关系的基础上,采用社会网络分析法深入探究其人居环境空间关联网络的结构特征及其影响因素。研究表明: (1)研究期间长江中游城市群人居环境空间关联强度日趋紧密,已形成较稳定的人居环境关联网络,但其网络密度仅为0.377,网络关系较为疏松,同时网络等级度为0.589,网络结构有待进一步优化。(2)武汉、长沙、南昌等经济相对较为发达的省会城市在长江中游城市群人居环境空间关联网络中处于核心主导地位,对人居环境空间关联性的影响显著; 而孝感、上饶、吉安、抚州等偏远地区在网络中则处于绝对边缘位置,对人居环境空间关联性的影响微弱。(3)长江中游城市群人居环境关联网络主要以板块间的传导与溢出效应为主,板块内的溢出效应相对较少。其中,武汉、南昌、宜昌等5城市属于“净受益板块”,在网络中起“引领”作用;孝感、黄石、黄冈等7城市属于“双向溢出板块”;鹰潭、萍乡、新余等6城市属于“经纪人板块”,在网络中发挥着“桥梁”作用;九江、咸宁、岳阳等10城市则属于“净溢出板块”。(4)城市距离、经济发展水平差异、产业结构差异和城镇化水平差异对人居环境的空间关联强度产生显著负向作用,城市人口总数和人均财政支出的差异对其产生显著正向影响,而对外开放度差异的回归系数为正但不显著,其响应机制和响应效果仍有待完善和增强。

Abstract: Grasping the spatial relationship of human settlement environment and its driving factors is of great significance for the promotion of sustainable development of human settlement environment. On the basis of introducing the modified gravity model to construct the spatial network correlation of human settlement environment of urban agglomerations in the middle reaches of the Yangtze River, this paper uses the social network analysis method to explore the spatial network structure and its influencing factors of human settlement environment of urban agglomerations in the middle reaches of the Yangtze River. The results show that: (1)During the research period, the spatial network intensity of human settlement environment of urban agglomerations in the middle reaches of the Yangtze River has become increasingly close, and a relatively stable network of human settlement environment has been formed, but its network correlation is still relatively loose, and the network structure needs to be further optimized. (2)Wuhan, Changsha, Nanchang and other relatively developed provincial capitals are in the core leading position of the spatial correlation network of human settlement environment, which has a significant impact on the spatial correlation of human settlement environment; while Xiaogan, Shangrao, Ji'an, Fuzhou and other remote areas are in the absolute edge of the network, which has a weak impact on its spatial correlation. (3)The human settlement environment network of urban agglomerations in the middle reaches of the Yangtze River is mainly based on the transmission and spillover effects among the plates, while the spillover effects within the plates are relatively less. Among them, five cities such as Wuhan, Nanchang and Yichang belong to the “net benefit plate” and play a “leading” role in the network; seven cities such as Xiaogan, Huangshi and Huanggang belong to the “bidirectional spillover plate”; six cities such as Yingtan, Pingxiang and Xinyu belong to the “agent plate” and play a “bridge” role in the network; ten cities such as Jiujiang, Xianning and Yueyang belong to the “net spillover plate”. (4)The city distance, the economic development level difference, the industrial structure difference and the urbanization level difference have significant negative effects on the spatial correlation intensity of human settlement environment. The total population difference and the per capita financial expenditure difference have significant positive effects on them, while the regression coefficient of the openness difference is positive but not significant, its response mechanism and effects need to be improved and enhanced.

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