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author:

Chen, Xing-lin (Chen, Xing-lin.) [1] | Yu, Long-xing (Yu, Long-xing.) [2] (Scholars:余龙星) | Lin, Wei-dong (Lin, Wei-dong.) [3] | Yang, Fu-qiang (Yang, Fu-qiang.) [4] (Scholars:阳富强) | Li, Yi-ping (Li, Yi-ping.) [5] | Tao, Jing (Tao, Jing.) [6] (Scholars:陶菁) | Cheng, Shuo (Cheng, Shuo.) [7]

Indexed by:

EI Scopus SCIE

Abstract:

Pursuing the high-quality urbanisation and improving urban system reliability are the current goal of urban development. Urban resilience reflects the reliability of a city in coping with external and internal disturbances. Therefore, the urban system reliability can be quantified by assessing urban resilience. Simultaneously, urban resilience assessments can identify vulnerabilities that affect the urban system reliability. Based on this, targeted decisions are proposed to enhance the reliability, stability and safety of urban systems. This study constructs an assessment indicator system to quantitatively estimate the reliability of urban systems and develops a dynamic urban resilience assessment model by combining it with a dynamic network framework that accounts for time varying factors. The model estimates the urban system reliability from a resilience perspective and identifies vulnerabilities in urban resilience. The applicability of the model is verified using Fujian Province as a research case. The case study uses annual urban data from 2016 to 2021, which is outstanding in terms of data objectivity. The results provide important insights for practitioners and researchers in optimising urban resilience, improving urban system reliability and formulating urban development strategies.

Keyword:

Dynamic Bayesian network Multidimensional perspective Resilience assessment Urban resilience

Community:

  • [ 1 ] [Chen, Xing-lin]Fuzhou Univ, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China
  • [ 2 ] [Yu, Long-xing]Fuzhou Univ, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China
  • [ 3 ] [Yang, Fu-qiang]Fuzhou Univ, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China
  • [ 4 ] [Tao, Jing]Fuzhou Univ, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China
  • [ 5 ] [Cheng, Shuo]Fuzhou Univ, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China
  • [ 6 ] [Lin, Wei-dong]Fujian Prov Inst Architectural Design & Res CO LTD, Fuzhou 350001, Peoples R China
  • [ 7 ] [Yang, Fu-qiang]Fuzhou Univ, Fujian Prov Key Lab Remote Sensing Soil Eros & Dis, Fuzhou 350116, Peoples R China
  • [ 8 ] [Tao, Jing]Fuzhou Univ, Sch Law, Fuzhou 350116, Peoples R China

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Source :

RELIABILITY ENGINEERING & SYSTEM SAFETY

ISSN: 0951-8320

Year: 2023

Volume: 238

9 . 4

JCR@2023

9 . 4 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:35

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 30

SCOPUS Cited Count: 18

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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