The Complexity of Urban CO2 Emission Network: An Exploration of the Yangtze River Middle Reaches Megalopolis, China

Author:

Zhang Zuo1ORCID,Wang Zhe1ORCID,Zhang Wei1ORCID,Liu Yanzhong2ORCID,Li Zhi3,Huang Lin4ORCID

Affiliation:

1. School of Public Administration, Central China Normal University, Luoyu Road, Wuhan 430079, China

2. College of Resource and Environmental Engineering, Wuhan University of Science and Technology, Heping Avenue, Wuhan 430081, China

3. School of Public Administration, Xi’an University of Architecture and Technology, Yanta Raod, Xi’an 710055, China

4. CCCC Second Highway Consultant Co. Ltd, No. 18 Chuangye Road, Wuhan 430056, China

Abstract

With their focus on human production and consumption activities, cities incur massive energy consumption and CO2 emissions. An intercity connection is a typical complex system in which the interaction between cities is crucial for developing low-carbon outputs within the urban agglomeration. This paper presents the construction of the CO2 emission network of an urban agglomeration in the Yangtze River middle reaches megalopolis, based on the gravity model. Combined with social network analysis (SNA), a multilevel analysis framework is proposed to deal with the complexity, spatiality, and visualization of the CO2 emission network with reference to the network features, structural equivalence, and the rich-club phenomenon. The following results emerged: firstly, the spatial structure of the CO2 emissions was characterized by low robustness and compactness, indicating disunity among the studied cities. Secondly, there was found to be a strong correlation between regionalism and intercity connections, with geographically close cities playing a similar role in the network. Thirdly, the “rich-club” cities, including Wuhan, Changsha, Xiaogan, and Zhuzhou, dominated the connections, covering more than 87.1% of the network in the Yangtze River Middle Reaches Megalopolis.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

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