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author:

Yin, Yanzhong (Yin, Yanzhong.) [1] | Wu, Qunyong (Wu, Qunyong.) [2] | Zhao, Zhiyuan (Zhao, Zhiyuan.) [3] | Chen, Xuanyu (Chen, Xuanyu.) [4]

Indexed by:

EI

Abstract:

The flow of essential elements such as people, goods, and information through complex networks has become a critical factor in shaping urban dynamics and regional development. Quantifying location centrality plays an indispensable role not only in urban infrastructure planning but also in National central city planning. Two vital aspects should be considered for central nodes in flow-based complex networks: their impact on adjacent nodes and the diversity of nodes they affect. In this paper, we present a centrality measure index (C-index) that accounts for flow volume and flow directions, offering a high degree of interpretability. We applied the C-index to four public weighted complex networks, demonstrating that our method outperforms classical methods. Furthermore, we validated the effectiveness and advantages of C-index on quantifying location centrality both in inter-city and intra-city population mobility network. The centrality findings from the perspective of population mobility can reinforce guidelines for understanding National central cities and polycentric structure of cities, thereby facilitating policy-making of sustainable urban development. © 2024 Elsevier Ltd

Keyword:

Sustainable city

Community:

  • [ 1 ] [Yin, Yanzhong]College of Computer and Data Science, Fuzhou University, Fujian, Fuzhou; 350108, China
  • [ 2 ] [Yin, Yanzhong]Key Lab of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, 350108, China
  • [ 3 ] [Yin, Yanzhong]National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou; 350108, China
  • [ 4 ] [Yin, Yanzhong]The Academy of Digital China, Fujian, 350003, China
  • [ 5 ] [Wu, Qunyong]College of Computer and Data Science, Fuzhou University, Fujian, Fuzhou; 350108, China
  • [ 6 ] [Wu, Qunyong]Key Lab of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, 350108, China
  • [ 7 ] [Wu, Qunyong]National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou; 350108, China
  • [ 8 ] [Wu, Qunyong]The Academy of Digital China, Fujian, 350003, China
  • [ 9 ] [Zhao, Zhiyuan]Key Lab of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, 350108, China
  • [ 10 ] [Zhao, Zhiyuan]National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou; 350108, China
  • [ 11 ] [Zhao, Zhiyuan]The Academy of Digital China, Fujian, 350003, China
  • [ 12 ] [Chen, Xuanyu]Key Lab of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, 350108, China
  • [ 13 ] [Chen, Xuanyu]National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou; 350108, China
  • [ 14 ] [Chen, Xuanyu]The Academy of Digital China, Fujian, 350003, China

Reprint 's Address:

  • [wu, qunyong]the academy of digital china, fujian, 350003, china;;[wu, qunyong]key lab of spatial data mining and information sharing of ministry of education, fuzhou university, 350108, china;;[wu, qunyong]national & local joint engineering research center of satellite geospatial information technology, fuzhou; 350108, china;;[wu, qunyong]college of computer and data science, fuzhou university, fujian, fuzhou; 350108, china;;

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Source :

Computers, Environment and Urban Systems

ISSN: 0198-9715

Year: 2025

Volume: 116

7 . 1 0 0

JCR@2023

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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