High-resolution mapping of transport CO2 emission in Beijing–Tianjin–Hebei region: Spatial-temporal characteristics and decoupling effects

IF 3.1 3区 工程技术 Q2 ENVIRONMENTAL STUDIES
Jiayuan Cai , Zilin Deng , Linna Li
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引用次数: 0

Abstract

Numerous studies estimating transport CO2 emissions in developing countries were on the large scales and few provided high-resolution mapping of transport CO2 emissions from different transport modes according to their respective distribution and diffusion patterns. This study proposed a hybrid method for high-resolution mapping of transport CO2 emissions in metropolitan regions, and applied it to the Beijing–Tianjin–Hebei (BTH) region of China during 2000-2019. The results indicate that: (1) The transport CO2 emissions in the BTH region increased rapidly, of which road transport carbon emissions accounting for approximately 80%, air transport carbon emissions accounting for nearly 20%, railway and water transport accounted for a relatively small proportion. (2) For the transport CO2 emission structure from 2000 to 2019, road transport was still the main source, but its proportion has decreased since recent years, which air transport became the second largest source of emissions and had greater impact on Beijing and Tianjin. (3) The transport carbon emission hot spots were mainly located in Beijing and kept shrinking, while the cold spots were mainly located in the southern part of Hebei Province and kept expanding. (4) The decoupling relationship between county-level transport carbon emissions and economic growth changed from weak decoupling to expansive negative decoupling, showing a non-ideal development in the BTH region. Overall, this study revealed the spatiotemporal characteristics of transport CO2 emissions in the BTH region, based on which specific carbon reduction strategies could be promoted to facilitate sustainable low-carbon transport development in metropolitan regions in developing countries.

京津冀地区交通二氧化碳排放高分辨率地图:时空特征与解耦效应
许多估算发展中国家交通二氧化碳排放量的研究都是大尺度的,很少有研究根据不同交通方式各自的分布和扩散模式对其交通二氧化碳排放量进行高分辨率测绘。本研究提出了一种混合方法,用于绘制大都市地区交通二氧化碳排放的高分辨率地图,并将其应用于 2000-2019 年期间中国的京津冀(BTH)地区。结果表明(1)京津冀地区交通二氧化碳排放量增长迅速,其中公路交通碳排放量约占 80%,航空运输碳排放量占近 20%,铁路和水运所占比例较小。(2)从 2000 年到 2019 年的交通二氧化碳排放结构来看,公路运输仍是主要排放源,但近年来比重有所下降,航空运输成为第二大排放源,对京津地区影响较大。(3)交通碳排放热点主要分布在北京市,并不断缩小,而冷点主要分布在河北省南部,并不断扩大。(4)县级交通碳排放与经济增长的脱钩关系由弱脱钩转变为扩张性负脱钩,显示出北京-天津地区的非理想发展态势。总之,本研究揭示了北京-天津地区交通二氧化碳排放的时空特征,并在此基础上提出了具体的碳减排策略,以促进发展中国家大都市地区交通的可持续低碳发展。
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来源期刊
CiteScore
8.90
自引率
2.60%
发文量
56
期刊介绍: The International Journal of Sustainable Transportation provides a discussion forum for the exchange of new and innovative ideas on sustainable transportation research in the context of environmental, economical, social, and engineering aspects, as well as current and future interactions of transportation systems and other urban subsystems. The scope includes the examination of overall sustainability of any transportation system, including its infrastructure, vehicle, operation, and maintenance; the integration of social science disciplines, engineering, and information technology with transportation; the understanding of the comparative aspects of different transportation systems from a global perspective; qualitative and quantitative transportation studies; and case studies, surveys, and expository papers in an international or local context. Equal emphasis is placed on the problems of sustainable transportation that are associated with passenger and freight transportation modes in both industrialized and non-industrialized areas. All submitted manuscripts are subject to initial evaluation by the Editors and, if found suitable for further consideration, to peer review by independent, anonymous expert reviewers. All peer review is single-blind. Submissions are made online via ScholarOne Manuscripts.
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