Sustainability Study of Community Disaster Resilience Evolution Trends Based on Dissipative Structure Theory
The assessment and improvement of community disaster resilience are crucial for sustainable community development. This study explores the assessment and evolutionary trends of community disaster resilience using the PSR model, supported by fuzzy data mining methods. The evolution mechanism of commu...
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IEEE
2024-01-01
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| Online Access: | https://ieeexplore.ieee.org/document/10714320/ |
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| author | Weijing Liang Ye Xue |
| author_facet | Weijing Liang Ye Xue |
| author_sort | Weijing Liang |
| collection | DOAJ |
| description | The assessment and improvement of community disaster resilience are crucial for sustainable community development. This study explores the assessment and evolutionary trends of community disaster resilience using the PSR model, supported by fuzzy data mining methods. The evolution mechanism of community resilience is analyzed based on dissipative structure theory, and a dynamic evolutionary model is constructed using the Brusselator framework. The model is applied to 130 communities in Taiyuan City, providing insights into their spatiotemporal characteristics and identifying key factors driving the sustained upward trends in disaster resilience, especially under increased disaster risk pressures. The findings reveal a close relationship between resilience trends and the balance between pressure and response. When these factors are imbalanced, resilience stagnates or worsens; when coordinated, resilience improves. The key capacities that influence resilience sustainability are adaptive, learnable, and have regional spatiotemporal impacts. This study contributes by integrating multiple models and algorithms to assess community resilience, proposing a dynamic evolutionary model, and validating its feasibility through case studies. The findings offer valuable guidance for decision-makers and researchers, enhancing the understanding of resilience evolution and promoting sustainable community development. |
| format | Article |
| id | doaj-art-88c4cac91e024aef9c72db2cfd830c8f |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-88c4cac91e024aef9c72db2cfd830c8f2025-08-20T01:47:50ZengIEEEIEEE Access2169-35362024-01-011215009115010410.1109/ACCESS.2024.347909610714320Sustainability Study of Community Disaster Resilience Evolution Trends Based on Dissipative Structure TheoryWeijing Liang0https://orcid.org/0000-0001-9712-2861Ye Xue1School of Economics and Management, Taiyuan University of Technology, Taiyuan, ChinaSchool of Economics and Management, Taiyuan University of Technology, Taiyuan, ChinaThe assessment and improvement of community disaster resilience are crucial for sustainable community development. This study explores the assessment and evolutionary trends of community disaster resilience using the PSR model, supported by fuzzy data mining methods. The evolution mechanism of community resilience is analyzed based on dissipative structure theory, and a dynamic evolutionary model is constructed using the Brusselator framework. The model is applied to 130 communities in Taiyuan City, providing insights into their spatiotemporal characteristics and identifying key factors driving the sustained upward trends in disaster resilience, especially under increased disaster risk pressures. The findings reveal a close relationship between resilience trends and the balance between pressure and response. When these factors are imbalanced, resilience stagnates or worsens; when coordinated, resilience improves. The key capacities that influence resilience sustainability are adaptive, learnable, and have regional spatiotemporal impacts. This study contributes by integrating multiple models and algorithms to assess community resilience, proposing a dynamic evolutionary model, and validating its feasibility through case studies. The findings offer valuable guidance for decision-makers and researchers, enhancing the understanding of resilience evolution and promoting sustainable community development.https://ieeexplore.ieee.org/document/10714320/Community disaster resiliencesustainabilityPSRdissipative structure theorybrusselsator model |
| spellingShingle | Weijing Liang Ye Xue Sustainability Study of Community Disaster Resilience Evolution Trends Based on Dissipative Structure Theory IEEE Access Community disaster resilience sustainability PSR dissipative structure theory brusselsator model |
| title | Sustainability Study of Community Disaster Resilience Evolution Trends Based on Dissipative Structure Theory |
| title_full | Sustainability Study of Community Disaster Resilience Evolution Trends Based on Dissipative Structure Theory |
| title_fullStr | Sustainability Study of Community Disaster Resilience Evolution Trends Based on Dissipative Structure Theory |
| title_full_unstemmed | Sustainability Study of Community Disaster Resilience Evolution Trends Based on Dissipative Structure Theory |
| title_short | Sustainability Study of Community Disaster Resilience Evolution Trends Based on Dissipative Structure Theory |
| title_sort | sustainability study of community disaster resilience evolution trends based on dissipative structure theory |
| topic | Community disaster resilience sustainability PSR dissipative structure theory brusselsator model |
| url | https://ieeexplore.ieee.org/document/10714320/ |
| work_keys_str_mv | AT weijingliang sustainabilitystudyofcommunitydisasterresilienceevolutiontrendsbasedondissipativestructuretheory AT yexue sustainabilitystudyofcommunitydisasterresilienceevolutiontrendsbasedondissipativestructuretheory |