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author:

Chen, Zuoqi (Chen, Zuoqi.) [1] | Li, Qianyu (Li, Qianyu.) [2] | Su, Hua (Su, Hua.) [3]

Indexed by:

EI

Abstract:

Effectively exploring the impacts of urban spatial structures on carbon dioxide emissions is important for achieving low-carbon goals. However, most previous studies have examined the impact of urban spatial structure on total carbon emissions based only on polycentricity. Fine-grained studies on subsectoral carbon emissions and other dimensions of urban spatial structure are lacking. Therefore, our study comprehensively explores the impact of urban dispersion and polycentricity on total carbon emissions and carbon emissions of four subsectors (industry, power, civilian, and transportation) from 2012 to 2017 while considering the effects of city size. Results reveal that the nighttime light data is useful for measuring urban spatial structure, and a polycentric, decentralized urban spatial structure correlates with the reduced total carbon emissions and transportation carbon emissions. Meanwhile, a decentralized urban spatial structure gives rise to lower industrial carbon emissions and civilian carbon emissions, whereas a multicenter urban spatial structure contributes to minimizing carbon emissions from power systems. However, in small and medium-sized cities, urban spatial structure differently affects the total carbon and transportation carbon emissions. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Keyword:

Carbon dioxide Dispersions Global warming Industrial emissions Urban transportation

Community:

  • [ 1 ] [Chen, Zuoqi]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou, China
  • [ 2 ] [Chen, Zuoqi]The Academy of Digital China, Fuzhou University, Fuzhou, China
  • [ 3 ] [Chen, Zuoqi]The Digital Economy Alliance of Fujian, Fuzhou, China
  • [ 4 ] [Li, Qianyu]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou, China
  • [ 5 ] [Li, Qianyu]The Academy of Digital China, Fuzhou University, Fuzhou, China
  • [ 6 ] [Su, Hua]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou, China
  • [ 7 ] [Su, Hua]The Academy of Digital China, Fuzhou University, Fuzhou, China

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Source :

International Journal of Digital Earth

ISSN: 1753-8947

Year: 2023

Issue: 2

Volume: 16

Page: 4867-4884

3 . 7

JCR@2023

3 . 7 0 0

JCR@2023

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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