Scholarlink

<p>Understanding how shocks cascade through interdependent urban systems is essential for designing effective resilience strategies. We introduce the Urban Resilience and Sustainability Alliance (URSA), a network-based framework that represents a city’s physical, socioeconomic, and sociocultural dimensions as a multi-domain directed network of indicators, coupled with the URSA-RSPM (Realistic Stress Propagation Model). URSA integrates structural diagnostics with an adaptive contagion algorithm to quantify network resistance through defined metrics and to simulate both passive and policy-driven recovery. Computational experiments illustrate how URSA-RSPM identifies latent vulnerabilities and evaluates “what-if” interventions. In a Vancouver case study of a hypothetical tariff shock to the Public Finance and Business Environment indicators, the model reveals rapid cross-domain cascades when no action is taken and demonstrates that timely fiscal support can contain widespread failure. By serving as a city-scale digital living lab, URSA-RSPM enables planners and policy analysts to explore multi-hazard and compound-risk scenarios in a safe, data-driven environment, supporting iterative policy design and adaptive urban governance.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Experimenting with urban stressors: a network-based approach to systemic resilience through the URSA framework

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月25日

查看全文
  • Mozhgan PourmoradNasseri,
  • Amir Albadvi,
  • Arifusalam Shaikh,
  • Mohsen Ghodrat,
  • M. Kyan Bahrami

摘要

Understanding how shocks cascade through interdependent urban systems is essential for designing effective resilience strategies. We introduce the Urban Resilience and Sustainability Alliance (URSA), a network-based framework that represents a city’s physical, socioeconomic, and sociocultural dimensions as a multi-domain directed network of indicators, coupled with the URSA-RSPM (Realistic Stress Propagation Model). URSA integrates structural diagnostics with an adaptive contagion algorithm to quantify network resistance through defined metrics and to simulate both passive and policy-driven recovery. Computational experiments illustrate how URSA-RSPM identifies latent vulnerabilities and evaluates “what-if” interventions. In a Vancouver case study of a hypothetical tariff shock to the Public Finance and Business Environment indicators, the model reveals rapid cross-domain cascades when no action is taken and demonstrates that timely fiscal support can contain widespread failure. By serving as a city-scale digital living lab, URSA-RSPM enables planners and policy analysts to explore multi-hazard and compound-risk scenarios in a safe, data-driven environment, supporting iterative policy design and adaptive urban governance.