Study on the Spatiotemporal Evolution Characteristics and Influencing Factors on Green Building Development of City Clusters in the Yangtze River Delta Region in China

被引:1
|
作者
Zhu, Wenxi [1 ]
Zhang, Jing [1 ]
Dai, Jinfei [2 ]
Wang, Da [1 ]
Ma, Chongsen [1 ]
Xu, Yufang [1 ,3 ]
Chen, Yun [1 ]
机构
[1] Changsha Univ Sci & Technol, Sch Transportat Engn, Changsha 410114, Peoples R China
[2] Yiyang Transportat Planning Survey & Design Inst C, Yiyang 413000, Peoples R China
[3] Hunan Commod Qual Inspect Inst, Changsha 410114, Peoples R China
关键词
green building; spatiotemporal evolution; influence factors; GeoDetector; EFFICIENCY; DIFFUSION;
D O I
10.3390/su15129457
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper explores the spatiotemporal evolution characteristics and spatial correlation patterns of green building development differences in 41 cities in the Yangtze River Delta region from 2012 to 2020 by means of the gravity center analysis model and spatial autocorrelation analysis. In addition, it further clarifies the impact factors of the spatial differentiation pattern of green building development in combination with GeoDetector based on four dimensional factors of population and economy, market environment, policy, and other factors. The results showed that: (1) According to the analysis of the number of green buildings in each city from 2012 to 2020 and the natural discontinuity method, the development pattern of green buildings in the Yangtze River Delta region city clusters shows an imbalance, being highly concentrated in the eastern coastal areas with Suzhou (1) and Shanghai as the core. The overall trajectory of the center of gravity shows the development from southeast to northwest. (2) The global Moran's I of green buildings in the Yangtze River Delta region city clusters is greater than 0, and all passed the significance test (Z > 1.96, p < 0.01), indicating that the green buildings in the Yangtze River Delta region city clusters show typical spatial aggregation characteristics. By using the local LISA index, it is found that in the H-H spatial autocorrelation distribution pattern with Suzhou (1) and Shanghai as the core, the core city has a strong attraction ability and relatively low radiation ability. (3) Based on the explanatory power mean, the main driving factors of the spatial differentiation pattern of green building development in the Yangtze River Delta region city clusters are education level (0.6656), technical level (0.6269), and the gross domestic product (0.6091). The factor interaction shows a two-factor enhancement and nonlinear enhancement effect, and there is neither a weakening nor an independent relationship.
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页数:20
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