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中国城市群市政基础设施水平综合评价——基于ARCGIS热点分析

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"十八大"以来,国家高度重视城市群内部公共设施服务共享、生态环境共治问题,对城市群基础设施水平研究可以为城市群可持续发展提供科学数据.基于5大城市群市政基础数据(2016—2020年),利用因子分析、莫兰指数、ArcGIS的热点分析工具剖析5大城市群基础设施水平.研究结果发现:珠三角城市群的基础设施水平最高,成渝、长江中游城市群等内陆城市的基础设施水平较珠三角、长三角等沿海城市群设施水平差距较大;城市群的空间集聚性明显,珠三角城市群基础设施水平属于"高高聚类",成渝城市群属于"低低聚类";基础设施资源配置方面存在分配不均衡问题.
Comprehensive Evaluation of Infrastructure Level of Urban Agglomerations in China:Based on ARCGIS Hotspot Analysis
Since the 18th CPC National Congress, the state has attached great importance to the sharing of public facility services and the co-governance of ecological environment within urban agglomerations. By researching on the infrastructure level of urban agglomerations the effective data support for the development of urban agglomerations can be provided. Based on the municipal basic data of the five major urban agglomerations from 2016 to 2020 , the infrastructure level of the five major urban agglomerations is analysed by using factor analysis, Moran Index and ArcGIS hot spot analysis tools. The results show that the infrastructure level of the Pearl River Delta urban agglomeration is the highest, and the infrastructure level of inland cities such as Chengdu-Chongqing urban agglomeration and the middle reaches of the Yangtze River has a large gap compared with that of coastal urban agglomerations such as the Pearl River Delta and the Yangtze River Delta. The spatial agglomeration of urban agglomerations is obvious. The infrastructure level of the Pearl River Delta urban agglomerations belongs to"high clustering", while that of the Chengdu-Chongqing urban agglomerations belongs to"low clustering". The allocation of infrastructure resources is unbalanced.

urban agglomerationinfrastructureMoran indexcomprehensive evaluationhot spot analysis

秦颖、孙彦亮

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北京建筑大学 城市经济与管理学院,北京 100044

城市群 基础设施 莫兰指数 综合评价 热点分析

北京市教委科技一般项目北京未来城市设计高精尖创新中心项目

KM202110016006UDC2019021424

2024

北京建筑大学学报
北京建筑工程学院

北京建筑大学学报

影响因子:0.562
ISSN:1004-6011
年,卷(期):2024.40(2)
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