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多中心城市会导致更多的二氧化碳排放吗?来自 232 个中国城市的案例研究。

Will polycentric cities cause more CO emissions? A case study of 232 Chinese cities.

机构信息

Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China; Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.

Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China.

出版信息

J Environ Sci (China). 2020 Oct;96:33-43. doi: 10.1016/j.jes.2020.04.025. Epub 2020 May 24.

Abstract

From 2000 to 2010 China experienced rapid economic development and urbanization. Many cities in economically developed areas have developed from a single-center status to polycentricity. In this study, we used exploratory spatial data analysis (ESDA) to identify the population centers, which identified 232 cities in China as having urban centers. COMP was used to represent urban agglomeration, and POLYD (representing how far is the city's sub-centers to the main center), POLYC (representing the number of a city's centers), and POLYP (representing the population distributed between the main center and the sub-centers) were used to indicate urban polycentricity. Night light data were used to determine the CO emissions from various cities in China. A mixed model was used to study the impact of urban aggregation and polycentric data on the CO emission efficiency in 2000 and 2010. The study found that cities with higher compactness were distributed in coastal areas, and the cities with higher multicentricity were distributed in the Yangtze River Delta and Shandong Province. The more compact the city was, the less conducive it was to improving CO emission efficiency. Polycentric development of the city was conducive to improving the CO emission efficiency, but the number of urban centers had no significant relationship with the CO emission efficiency. Our research showed that the compactness and multicentricity of the city had an impact on the CO emission efficiency and provided some planning suggestions for the low carbon development of the city.

摘要

从 2000 年到 2010 年,中国经历了快速的经济发展和城市化。许多经济发达地区的城市已经从单中心状态发展为多中心。在这项研究中,我们使用探索性空间数据分析(ESDA)来确定人口中心,确定中国有 232 个城市具有城市中心。使用 COMP 表示城市群,使用 POLYD(表示城市的次级中心与主中心的距离)、POLYC(表示城市的中心数量)和 POLYP(表示分布在主中心和次级中心之间的人口)表示城市多中心化。使用夜间灯光数据来确定中国各个城市的 CO 排放量。使用混合模型研究了 2000 年和 2010 年城市聚集和多中心数据对 CO 排放效率的影响。研究发现,紧凑度较高的城市分布在沿海地区,多中心性较高的城市分布在长三角和山东省。城市越紧凑,越不利于提高 CO 排放效率。城市的多中心发展有利于提高 CO 排放效率,但城市中心的数量与 CO 排放效率没有显著关系。我们的研究表明,城市的紧凑性和多中心性对 CO 排放效率有影响,并为城市的低碳发展提供了一些规划建议。

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