Urban resilience assessment from the multidimensional perspective using dynamic Bayesian network: A case study of Fujian Province, China
•A novel approach for urban resilience assessment.•The assessment model assesses urban resilience from a multidimensional perspective.•A simplified equation for input evidence is devised. Pursuing the high-quality urbanisation and improving urban system reliability are the current goal of urban deve...
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| Published in | Reliability engineering & system safety Vol. 238; p. 109469 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.10.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0951-8320 |
| DOI | 10.1016/j.ress.2023.109469 |
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| Abstract | •A novel approach for urban resilience assessment.•The assessment model assesses urban resilience from a multidimensional perspective.•A simplified equation for input evidence is devised.
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. |
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| AbstractList | •A novel approach for urban resilience assessment.•The assessment model assesses urban resilience from a multidimensional perspective.•A simplified equation for input evidence is devised.
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. |
| ArticleNumber | 109469 |
| Author | Yu, Long-xing Chen, Xing-lin Tao, Jing Yang, Fu-qiang Lin, Wei-dong Li, Yi-ping Cheng, Shuo |
| Author_xml | – sequence: 1 givenname: Xing-lin surname: Chen fullname: Chen, Xing-lin organization: College of Environment and Safety Engineering, Fuzhou University, Fuzhou 350116, China – sequence: 2 givenname: Long-xing surname: Yu fullname: Yu, Long-xing organization: College of Environment and Safety Engineering, Fuzhou University, Fuzhou 350116, China – sequence: 3 givenname: Wei-dong surname: Lin fullname: Lin, Wei-dong organization: Fujian Provincial Institute of Architectural Design and Research CO., LTD., Fuzhou 350001, China – sequence: 4 givenname: Fu-qiang surname: Yang fullname: Yang, Fu-qiang email: yangfuqiang@fzu.edu.cn organization: College of Environment and Safety Engineering, Fuzhou University, Fuzhou 350116, China – sequence: 5 givenname: Yi-ping surname: Li fullname: Li, Yi-ping organization: Fujian Provincial Institute of Architectural Design and Research CO., LTD., Fuzhou 350001, China – sequence: 6 givenname: Jing surname: Tao fullname: Tao, Jing email: taojing@fzu.edu.cn organization: School of Law, Fuzhou University, Fuzhou 350116, China – sequence: 7 givenname: Shuo surname: Cheng fullname: Cheng, Shuo organization: College of Environment and Safety Engineering, Fuzhou University, Fuzhou 350116, China |
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| Title | Urban resilience assessment from the multidimensional perspective using dynamic Bayesian network: A case study of Fujian Province, China |
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