中国低碳城市评价与空间格局分析

被引:44
作者
吴健生 [1 ,2 ]
许娜 [1 ]
张曦文 [1 ]
机构
[1] 北京大学深圳研究生院城市人居环境科学与技术重点实验室
[2] 不详
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;
D O I
暂无
中图分类号
F299.23 [城市经济管理];
学科分类号
120405 ;
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。
引用
收藏
页码:204 / 213
页数:10
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