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中国的运输CO2排放的时间空间分析:聚类和政策建议

Linfeng Zhang¹, Jiaran Wei¹, Ran Tu¹

¹School of Transportation, Southeast University, Nanjing, 211189, China.

|February 5, 2024

概括

中国中国中国中国.

科学领域:

环境科学环境科学
运输研究运输研究
能源政策能源政策

背景情况:

中国交通运输部门的增长带来了重要的二氧化碳 (CO2) 排放挑战.
省份和运输方式的差异使减排工作复杂化.

研究的目的:

使用自下而上的方法和LMDI计算运输CO2排放量.
分析时间空间差异,并确定中国各省份的排放驱动因素.
为针对性政策建议提出基于集群的评估方法.

主要方法:

排放计算的自下而上的方法.
逻辑平均分数指数 (LMDI) 分解用于因子分析.
根据排放特征和驱动因素对省份进行集群分析.

主要成果:

国家运输的二氧化碳排放量增加了50.14% (2010-2019).
在所有交通方式中,私家车排放增长最快 (254%) .
东部省份的排放量较高;邻近的省份呈现出不同的模式.
根据排放结构和驱动因素确定了四个不同的省级集群.

结论:

有针对性的,集群特定的政策对于有效的减排至关重要.
控制汽车所有权,促进综合运输和电气化是关键战略.
基于集群的方法提供了超越地理位置的特定省份的见解.

关键词:

集群分析分析集群分析政策建议政策建议时间空间分析.运输中的二氧化碳排放

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