中国低碳城市评价与空间格局分析

doi:10.18306/dlkxjz.2016.02.007

CORC > 北京大学 > 城市与环境学院

	中国低碳城市评价与空间格局分析; Evaluation of low-carbon city and spatial pattern analysis in China
	吴健生 ; 许娜 ; 张曦文
刊名	地理科学进展
	2016
关键词	低碳城市因子分析聚类分析 GIS空间分析 DMSP-OLS夜间灯光 PM2.5浓度 low-carbon city factor analysis cluster analysis GIS spatial analysis DMSP-OLS nighttime light PM2.5 concentration
DOI	10.18306/dlkxjz.2016.02.007
英文摘要	城市是人类生产和消费活动最为集中的区域,带来了大量的能源消耗和碳排放,低碳城市受到国内外学者广泛探讨.本文从低碳开发、低碳经济、低碳环境、城市规模与能源消耗5个方面22个指标构建了低碳城市评价体系,引入遥感影像中的DMSP-OLS夜间灯光数据集与PM2.5浓度反演影像;利用因子分析、聚类分析及空间相关性分析,将2006年及2010年284个地级及以上城市按照低碳水平分为低碳、相对低碳、相对高碳、高碳四类城市;根据驱动力分为环境主导型、居民主导型、城镇化主导型及产业主导型四种城市类型;空间上识别出京津冀、长三角、山东省及珠三角地区具有低碳城市发展集聚效应;低碳城市发展水平受城市行政等级、产业转型等因素影响.; Cities are the most concentrated area of production and consumption activities of the human race,which brings about great amounts of energy consumption and carbon emissions.Therefore,low-carbon city is widely discussed by scholars around the world.In this study,22 indicators in five areas,including low-carbon development,low-carbon economy,low-carbon environment,city size,and energy consumption,were used to establish an evaluation system for low-carbon city.Remote sensing images of the DMSP-OLS Nighttime Light sets and PM2.5 concentration inversion image were innovatively included in these indicators.Using factor analysis,cluster analysis,and spatial correlation analysis,284 cities in China were classified as low-carbon cities,comparatively low-carbon cities,comparatively high-carbon cities,and high-carbon cities in 2006 and 2010.The result shows that the low-carbon status of these cities generally improved in 2010 as compared to 2006.According to the driving forces of city development,these cities were divided into four types:environment-oriented,people-oriented,urbanization-dominated,and industry-dominated.Spatially,the Beijing-Tianjin-Hebei area,the Yangtze River Delta region,Shandong Province,and the Pearl River Delta region had the aggregated effect of low-carbon city development.Chongqing,Chengdu,and Wuhan were distinguished from the periphery cities that had lower level of low-carbon development and belonged to the hotspot cities of advanced low-carbon development in Southwest China.Low-carbon development of cities is affected by the administrative level and industrial transformation of cities,among other factors.; 国家自然科学基金项目(41271101); 中文核心期刊要目总览(PKU); 中国科技核心期刊(ISTIC); 中国科学引文数据库(CSCD); 2; 204-213; 35
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/446788]
专题	城市与环境学院
推荐引用方式 GB/T 7714	吴健生,许娜,张曦文. 中国低碳城市评价与空间格局分析, Evaluation of low-carbon city and spatial pattern analysis in China[J]. 地理科学进展,2016.
APA	吴健生,许娜,&张曦文.(2016).中国低碳城市评价与空间格局分析.地理科学进展.
MLA	吴健生,et al."中国低碳城市评价与空间格局分析".地理科学进展 (2016).