Sustainability Study of Community Disaster Resilience Evolution Trends Based on Dissipative Structure Theory

Abstract

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.

Keywords

• Community disaster resilience
• sustainability
• PSR
• dissipative structure theory
• brusselsator model