Peak Carbon Dioxide Emissions Strategy Based on the Gray Model between Carbon Emissions and Urban Spatial Expansion for a Built-Up Area
Peak Carbon Dioxide Emissions Strategy Based on the Gray Model between Carbon Emissions and Urban Spatial Expansion for a Built-Up Area
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基于碳排放与城市空间扩张灰色模型的二氧化碳峰值排放策略
DOI：
10.3390/app13010187
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发表时间：
2022-12
期刊：
影响因子：
--
通讯作者：
Komi Bernard Bedra
中科院分区：
文献类型：
--
作者：
Luyun Liu;Lingling Xun;Zhiyuan Wang;Huaiwan Liu;Yu Huang;Komi Bernard Bedra
城市空间扩展影响到可持续城市发展的几乎每一个层面。把握好城市空间演化与碳排放的关系，可以成为城市空间治理的关键。长沙作为中部地区的中心城市和国家低碳试点城市，建设用地快速扩张，碳排放量不断增长。以长沙市为例，分别选取1979、1996、2003、2008、2013和2016年的4个碳排放变量因子和5个碳排放变量因子进行研究。基于“双碳”约束目标，预测了到2030年的碳排放总量、碳排放强度和人均碳排放约束指数。分别为8729万t-CO2、0.45 t-CO2/CNY 104和8.73 t-CO2/人。城镇用地规模控制在889.61，居住、商业服务业、工业、道路广场用地规模约束指数分别为231.3、143.88、150.17、135.83 km 2。土地扩展强度、城市紧凑度和最短出行距离约束指数分别为6.19、0.236和96086.76 km。分析结果可为下一步国土空间总体规划和低碳治理提供科学指导。
Urban spatial expansion affects almost every dimension of sustainable urban development. A good grasp of the relationship between urban spatial evolution and carbon emissions can be the key to urban spatial governance. As a central city in the central region and a national low-carbon pilot city, Changsha has experienced a rapid expansion of construction land and growing carbon emissions. In this paper, four variable factors and five variable factors of carbon emission were used for the case city Changsha in 1979, 1996, 2003, 2008, 2013 and 2016. Based on the “double carbon” constraint target, the total carbon emissions, carbon-emission intensity and per capita carbon emission constraint indices were forecasted until 2030. They are 87.29 million t-CO2, 0.45 t-CO2/CNY104 and 8.73 t-CO2/person, respectively. The scale of urban land is controlled at 889.61; the constraint indices of residential, commercial service land, industrial land and road square land scales are 231.3 km2, 143.88 km2, 150.17 km2 and 135.83 km2, respectively. The land expansion intensity, urban compactness and shortest travel distance constraint indices are 6.19, 0.236 and 96,086.76 km, respectively. The results of this analysis can provide scientific guidance for the next step in territorial spatial master planning and low-carbon governance.
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DOI：
10.5814/j.issn.1674-764x.2014.02.007
发表时间：
2014-06
期刊：
--
影响因子：
--
作者：
Xiao Yu;An Kai;Yang Yang-Yang;Xie Gaodi;Chunxia Lu
通讯作者：
Xiao Yu;An Kai;Yang Yang-Yang;Xie Gaodi;Chunxia Lu
影响因子：
--
作者：
张茹倩，李鹏辉，徐丽萍 ZHANG Ruqian
通讯作者：
张茹倩，李鹏辉，徐丽萍 ZHANG Ruqian
影响因子：
7.9
作者：
J. Kenworthy;F. Laube
通讯作者：
J. Kenworthy;F. Laube
影响因子：
9
作者：
Ishii, Satoshi;Tabushi, Shoichi;Hanaki, Keisuke
通讯作者：
Hanaki, Keisuke
影响因子：
--
作者：
I. Sukarno;H. Matsumoto;L. Susanti
通讯作者：
I. Sukarno;H. Matsumoto;L. Susanti