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<p>Resilience in social systems is crucial for mitigating the impacts of crises, which threaten communities worldwide. As disasters grow in frequency and intensity, strengthening urban resilience has become an urgent necessity. This study applies the Complex Analysis for Socio-environmental Adaptation (CASA) model to Puchuncaví, a Chilean town facing significant environmental and social challenges as a recognized “Sacrifice Zone.” Our approach redefines traditional resilience models by transforming their un-integrated structure into a complex network that integrates global scientific knowledge and advanced network methodologies. Our findings underscore the model’s effectiveness in identifying vulnerabilities and informing policies to strengthen climate resilience and urban adaptation. The analysis reveals that Puchuncaví faces substantial resilience gaps in emergency management, sustainable livelihoods, and access to sanitation and potable water. The CASA model assigns a topological resilience score (TR) of 0.82, indicating an 18% higher vulnerability compared to ideal resilience conditions. While key sectors such as food security and public health demonstrate relative strengths, governance and infrastructure require targeted interventions to enhance resilience outcomes.</p>

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Harnessing network science for urban resilience: the CASA model’s approach to social and environmental challenges

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年4月22日

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  • Miguel Fuentes,
  • Juan Pablo Cárdenas,
  • Gastón Olivares,
  • Eric Rasmussen,
  • Carolina Urbina,
  • Soledad Salazar,
  • Gerardo Vidal

摘要

Resilience in social systems is crucial for mitigating the impacts of crises, which threaten communities worldwide. As disasters grow in frequency and intensity, strengthening urban resilience has become an urgent necessity. This study applies the Complex Analysis for Socio-environmental Adaptation (CASA) model to Puchuncaví, a Chilean town facing significant environmental and social challenges as a recognized “Sacrifice Zone.” Our approach redefines traditional resilience models by transforming their un-integrated structure into a complex network that integrates global scientific knowledge and advanced network methodologies. Our findings underscore the model’s effectiveness in identifying vulnerabilities and informing policies to strengthen climate resilience and urban adaptation. The analysis reveals that Puchuncaví faces substantial resilience gaps in emergency management, sustainable livelihoods, and access to sanitation and potable water. The CASA model assigns a topological resilience score (TR) of 0.82, indicating an 18% higher vulnerability compared to ideal resilience conditions. While key sectors such as food security and public health demonstrate relative strengths, governance and infrastructure require targeted interventions to enhance resilience outcomes.