Structural Characteristics of Expressway Carbon Emission Correlation Network and Its Influencing Factors: A Case Study in Guangdong Province

Hailing Wu, Yuanjun Li, Kaihuai Liao, Qitao Wu () and Kanhai Shen
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Hailing Wu: Guangzhou Institute of Geography, Guangzhou Academy of Science, Guangzhou 510070, China
Yuanjun Li: Guangzhou Institute of Geography, Guangzhou Academy of Science, Guangzhou 510070, China
Kaihuai Liao: School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510062, China
Qitao Wu: Guangzhou Institute of Geography, Guangzhou Academy of Science, Guangzhou 510070, China
Kanhai Shen: Guangdong Provincial Transportation Planning and Research Center, Guangzhou 510101, China

Sustainability, 2024, vol. 16, issue 22, 1-20

Abstract: Understanding the spatial correlation of transportation carbon emissions and their influencing factors is significant in achieving an overall regional carbon emission reduction. This study analyzed the structure characteristics of the expressway carbon emission correlation network in Guangdong Province and examined its influencing factors with intercity expressway traffic flow data using social network analysis (SNA). The findings indicate that the correlation network of expressway carbon emissions in Guangdong Province exhibited a “core-edge” spatial pattern. The overall network demonstrated strong cohesion and stability, and a significant difference existed between the passenger vehicle and freight vehicle carbon emission networks. The positions and roles of different cities varied within the carbon emission network, with the Pearl River Delta (PRD) cities being in a dominant position in the carbon network. Cities such as Guangzhou, Foshan, and Dongguan play the role of “bridges” in the carbon network. The expansion of differences in GDP per capita, industrial structure, technological level, and transportation intensity facilitates the formation of a carbon emission network. At the same time, geographical distance between cities and policy factors inhibit them. This study provides references for developing regional collaborative carbon emission governance programs.

Keywords: intercity traffic; transportation carbon emissions; collaborative carbon emission reduction; spatial correlation network (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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