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As global temperatures continue to rise there is increasing evidence that coastal storms are also increasing in frequency and intensity. These phenomena coupled with the effects of Sea Level Rise (SLR) as polar ice caps melt presents increasing challenges for coastal communities worldwide and requires urgent action to combat climate change to ensure these communities are sustainable and resilient. Resilience-based decision-making support is integral to this process to ensure community stakeholders have quantifiable information to inform their actions which may include mitigations and/or adaptation strategies. Such quantification requires community-level models of physical infrastructure such as buildings, roadways, and water and power networks to be fully coupled with household, social institution (e.g. hospitals and schools), and economic models. The Interconnected Networked Community Resilience Modeling Environment (IN-CORE) platform is a computational environment developed the Center for Risk-Based Community Resilience Planning that consists of a suite of tools to analyze, measure, and improve the resilience of communities and includes these physical, social and economic components thereby enabling the development of “digital twins” of communities. IN-CORE provides a framework to examine alternative policy choices and financial investments to improve community resilience. Several illustrative examples of community-level models will be presented to illustrate several strategies for disaster risk reduction to climate change.

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Digital Twinning of Communities for Disaster Risk Reduction: Climate Adaptive Solutions, John van de Lindt, Harold H. Short Endowed Chair Professor, Co-director, Center for Risk-Based Community Resilience Planning, Colorado State University, USA

  • 会议论文

  • 发表日期：

    2025年

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  • John van de Lindt,
  • Wilma James

摘要

As global temperatures continue to rise there is increasing evidence that coastal storms are also increasing in frequency and intensity. These phenomena coupled with the effects of Sea Level Rise (SLR) as polar ice caps melt presents increasing challenges for coastal communities worldwide and requires urgent action to combat climate change to ensure these communities are sustainable and resilient. Resilience-based decision-making support is integral to this process to ensure community stakeholders have quantifiable information to inform their actions which may include mitigations and/or adaptation strategies. Such quantification requires community-level models of physical infrastructure such as buildings, roadways, and water and power networks to be fully coupled with household, social institution (e.g. hospitals and schools), and economic models. The Interconnected Networked Community Resilience Modeling Environment (IN-CORE) platform is a computational environment developed the Center for Risk-Based Community Resilience Planning that consists of a suite of tools to analyze, measure, and improve the resilience of communities and includes these physical, social and economic components thereby enabling the development of “digital twins” of communities. IN-CORE provides a framework to examine alternative policy choices and financial investments to improve community resilience. Several illustrative examples of community-level models will be presented to illustrate several strategies for disaster risk reduction to climate change.