检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:石振武[1] 毕爱琦 SHI Zhenwu;BI Aiqi(School of Civil Engineering and Transportation,Northeast Forestry University,Harbin 150040,China)
机构地区:[1]东北林业大学土木与交通学院,黑龙江哈尔滨150040
出 处:《西安理工大学学报》2024年第2期182-192,共11页Journal of Xi'an University of Technology
基 金:黑龙江省自然科学基金项目(YQ2020G001);黑龙江省博士后科研启动金项目(LBH-Q21054);龙建路桥股份有限公司企业项目(HFW230500018)。
摘 要:基于2008—2020年长江三角洲城市群27个地级市建筑部门碳排放数据,采用探索性空间数据分析(ESDA)模型和GTWR-STIRPAT模型分析城市群建筑部门碳排放的时空格局及其影响因素的时空异质性。结果表明:①时间上,2008—2020年长江三角洲城市群建筑部门碳排放持续增大;空间上,城市群建筑部门碳排放大体呈现“中间低、南北高”的分布格局。②城市群建筑部门碳排放空间聚集效果明显,主要呈现“低低”、“高高”的空间聚集特征。③各影响因素在不同城市存在较强的时空异质性,能源消耗强度、人口总量、建筑产业结构和人均GDP对城市群各市建筑碳排放具有正向影响,而城镇化水平和建筑减排政策数量对城市群大部分城市具有负向影响。最后提出了城市间联防联控措施和差异化减排建议。Based on the carbon emission data of construction sector in 27 prefecture-level cities of the Yangtze River Delta urban agglomeration from 2008 to 2020,the spatial and temporal pattern of carbon emission from construction sector and the spatio-temporal heterogeneity of its influencing factors were analyzed by using the ESDA model and the GTWR-STIRPAT model.The results showed that:①From 2008 to 2020,carbon emissions from the construction sector in the Yangtze River Delta urban agglomeration continued to increase;spatially,carbon emissions from the construction sector in urban agglomerations generally show a distribution pattern of“low in the middle and high in the north and south”.②The spatial aggregation effect of carbon emissions from the construction sector in urban agglomeration is obvious,mainly showing“low-low”and“high-high”spatial agglomeration characteristics.③The influencing factors are of strong spatio-temporal heterogeneity in different cities.Energy consumption intensity,total population,construction sector structure and per capita GDP have a positive impact on the carbon emissions of the construction sector in urban agglomerations,while urbanization level and the number of building emission reduction policies have a negative impact on most cities in urban agglomerations.Finally,joint prevention and control measures between cities and differentiated emission reduction suggestions are put forward.
关 键 词:建筑部门碳排放 ESDA模型 GTWR-STIRPAT模型 影响因素 时空异质性
分 类 号:F062.1[经济管理—政治经济学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.148.241.79