城市街区碳代谢模式识别及适应性更新策略——以福建省长汀县历史文化街区为例  

CARBON METABOLISM PATTERN IDENTIFICATION AND ADAPTIVE RENEWAL STRATEGY IN URBAN NEIGHBORHOODS:A CASE STUDY OF HISTORIC CONSERVATIONAREAS INCHANGTING COUNTY,FUJIAN PROVINCE

作　　者：陈美伊 胡宏[1,2] CNEN Meiyi;HU Hong

机构地区：[1]南京大学建筑与城市规划学院 [2]南京大学江苏智慧城市研究基地

出　　处：《城市规划》2025年第2期94-109,共16页City Planning Review

基　　金：国家自然科学基金面上项目“居住分异视角下社区空间形态对居民低碳行为与碳代谢影响及适应性减碳策略研究”(42271202)。

摘　　要：我国当前历史文化街区更新多以历史风貌、遗存身份、产权归属等为依据划分更新单元、采取老旧建筑翻新、用地功能置换等更新策略,较少针对历史文化街区内地块的碳代谢差异,对地块尺度碳排放进行大规模精细核算,以“双碳目标”为导向探索历史文化街区适应性更新策略。本文引入机器学习方法精准识别地块碳代谢分异类型,以国家历史文化名城福建省长汀县的4个历史文化街区为研究区,详细核算449个地块含9624栋建筑的居民生活碳排放、公共活动碳排放、交通出行碳排放和绿地碳汇特征,针对识别出的8类地块碳代谢模式分别提出低碳导向的适应性更新策略,并评估相应的地块低碳更新绩效,以期为我国历史文化街区低碳更新转型提供方法和技术支撑。Renewal of historic conservation areas in China is generally carried out based on renewal units,which are divided in line with historical landscape,identity of relics,property ownership,among others.Renewal strategies,such as renovation of old buildings and functional replacement of land use,are adopted.Nevertheless,in view of the difference in carbon metabolism of land plots in historic conservation areas,the large-scale detailed accounting of land plot-scale carbon emissions is seldom carried out,and the exploration on adaptive renewal strategies under the guiding principle of the carbon peaking and carbon neutrality goals is limited.This paper introduces the machine learning method to accurately identify the types of carbon metabolism of land plots,and conducts a case study on four historic districts in Changting County-a national historic city in Fujian Province.The paper calculates carbon emissions from residents lives,public activities,and transportation as well as carbon sink characteristics of green space of 9,624 buildings on 449 land plots.It proposes low-carbon oriented adaptive renewal strategies for carbon metabolism patterns in each of the identified eight types of land plots,and evaluates the low-carbon renewal performance of the corresponding land plot.It aims to provide methodological and technological support for the transformation of China's historic conservation areas.

关 键 词：低碳导向 历史文化街区 机器学习 适应性更新 碳代谢 

分 类 号：TU984.114[建筑科学—城市规划与设计] X321[环境科学与工程—环境工程]