首页|镇街级治理单元碳排放差异化分布特征及影响因素研究:以广州市为例

镇街级治理单元碳排放差异化分布特征及影响因素研究:以广州市为例

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为探究城市镇街级治理单元的碳排放差异化分布特征及影响因素,以广州市为例,采用上下结合的碳排放空间计量方法,核算2020年175个镇街单元的碳排放总量及强度,分析不同类型镇街单元的碳排放空间分布异质性特征;通过IPAT模型和Spearman相关性分析筛选影响要素并构建岭回归模型,得到镇街级治理单元的差异化治理要素及减碳策略。结果显示:广州市街道单元碳排放总量远高于乡镇单元总量,但乡镇单元的人均碳排放量远高于城区街道单元,其中工业型乡镇的人均碳排放量为14。37 t,约是商业办公型城区街道人均碳排放量(2。89 t)的5倍;从空间分布特征上来看,碳排放总量及强度呈现出"内低-中高-外低"环状格局,但碳排放总量高值区聚集于近郊,人均碳排放量高值区聚集于远郊;结合不同类型镇街级治理单元的碳排放影响因素分析,人口密度、城镇化率、建设用地结构等城市建设指标均表现出了与碳排放的强相关性,但不同类型的街镇单元呈现显著差异化影响。基于此,针对不同类型街道与乡镇提出了"控总量"和"控强度"的差异化减碳路径。
Characteristics of differential distribution and influencing factors of carbon emissions at levels of town and street governance units:taking Guangzhou City as an example
Guangzhou City was used to study the characteristics of differentiated distribution and influ-encing factors of carbon emissions at the level of town and street governance units.A top-down approach to spatial econometric methods for carbon emissions was used to calculate the total carbon emissions and inten-sity of 175 town and street units in 2020 and analyze the heterogeneous spatial distribution characteristics of carbon emissions in different types of town and street units.The IPAT model and Spearman correlation analysis was used to screen influencing factors and construct a ridge regression model.Differentiated factors of governance and strategies for reducing carbon emissions at levels of town and street governance units were obtained.The results showed that the total carbon emissions of street units in Guangzhou City were much higher than those of town units,but the per capita carbon emissions of town units were much higher than those of street units.Among them,the per capita carbon emission of industrial towns(14.37 t)were about five times that of streets with commercial offices(2.89 t).The total carbon emissions and intensity had a circular pattern of"low-inner,high-middle,low-outer"in terms of spatial distribution,but high-value areas of total carbon emissions were concentrated in the suburbs,and high-value areas of per capita carbon emissions were concentrated in the far suburbs.The indexes of urban construction including the population density,the rate of urbanization,and the structure of construction land were strongly correlated with carbon emissions based on analyzing factors affecting carbon emission at different levels of town and street gover-nance units,but different types of street and town units had significantly differential effects.It is indicated that differentiated pathways of carbon reduction including"controlling the total amount"and"controlling the intensity"should be proposed for different types of streets and towns.

carbon peak and carbon neutralitycarbon emissions at the scale of town and streetesti-mation of carbon emissionslow-carbon planningstrategies for reducing carbon emissions

张超、张钰雪、李清嘉、王睿、刘晓宇

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广州市城市规划勘测设计研究院有限公司北京分院,北京 100032

广东省城市感知与监测预警企业重点实验室,广州 510060

天津大学建筑学院,天津 300000

双碳 镇街尺度碳排放 碳排放测算 低碳 碳减排

2024

华中农业大学学报
华中农业大学

华中农业大学学报

CSTPCD北大核心
影响因子:1.09
ISSN:1000-2421
年,卷(期):2024.43(6)