Framework for Enhancing Disaster Mitigation and Regeneration of Community Capacity

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Framework for Enhancing Disaster Mitigation and Regeneration of Community Capacity
Morgenstadt Framework.jpg
Morgenstadt Framework
Team Organizations Green Urban Design
Team Leaders Jiri Skopek
Participating Municipalities Portland OR
Coral Gables FL
San Antonio TX
Sectors Resilience
Status Concept only Stage
Last Updated April 27, 2024

Summary

Establishment of a framework that fosters collaborative efforts between diverse public, private, and academic partners to enhance disaster mitigation, community resilience and economic growth. __

Problem Statement

The global community faces an urgent need for resilient urban development due to climate breakdown. Many communities lack the resources and structures to actively participate in decision-making tailored to their local needs. Whereas Disaster Mitigation and Community Regeneration demand a collective, multi-organizational effort to ensure economic, environmental, and community voices are well-represented, unfortunately, many communities lack the requisite resources and structures to actively participate in decision-making tailored to their local needs amidst changing circumstances.

Background

The proposed framework builds on several effective and symbiotic methodologies to deal with rapid change and climate resiliency, such as Regenerative Urbanism, The Natural Step,and The Morgenstadt Framework‎[1], supported by Digital Twins.

They all revolve around creating more sustainable and resilient futures and present a holistic approach to tackling the multifaceted challenges posed by climate change and urban growth. Objectives

  • Community Engagement and Resilience: Engage communities in defining and implementing successful resilience responses, promoting showcase community models that can attract federal funding and inspire future projects.
  • Data-driven decision-making: Develop Holistic Performance Indicators to facilitate transformative processes for dialogue and collaboration among stakeholders and utilize digital twin technology to aggregate and analyze data, enabling informed, evidence-based decision-making for disaster resilience and urban development.
  • Holistic Perspective and Innovation: Embrace a holistic view of systems, emphasizing innovative solutions to address climate challenges and urban growth.

Strategy

  1. Utilize a collaborative framework to establish “pain points”: with respect to resilience within a designated Community Disaster Resilience Zone: Facilitate collaborative dialogue within the community to ensure that all stakeholders are involved in the decision-making process.
  2. Develop Holistic Key Performance Indicators (H-KPIs)‎[2]: Working with the community, create a comprehensive set of H-KPIs that underpin adaptation and mitigation strategies, providing a roadmap for community success.
  3. Deploy Holistic Key Performance Indicators (H-KPIs): Employ digital twin technology to visualize vulnerabilities, H-KPIs, urban dynamics, aggregate data, and simulate scenarios, fostering data-driven decisions and stakeholder engagement.
  4. Implement and test in the community testbeds: Deploy the framework and H-KPIs in the designated Community Disaster Resilience Zone to assess their effectiveness and refine strategies accordingly.
  5. Promote the Showcase Communities: to become models of successful community-driven resilience projects, attract additional federal funding and inspire future initiatives.

How this might apply to the Enhancing Community Disaster Mitigation and Regeneration Capacity

The communities will need to identify potential hazards and threats, and then establish adaptation, mitigation, and recovery plans. The goal is to reduce likely impacts and ensure that key infrastructure systems continue operating, or quickly begin providing services again. The adaptive capacity, absorptive capacity, and coping capacity are essential components of disaster resilience. In particular, adaptive capacity has an important place in building disaster resilience.

Community Disaster Resilience Zones have been identified by FEMA as the most at-risk and in-need communities. These designated zones provide a geographic focus for financial and technical assistance from public, private and philanthropic agencies and organizations for the planning and implementation of resilience projects. They will have prioritized support to access federal funding and technical assistance.

The development of the mitigation and adaptive strategies and the deployment of supporting technology can be enhanced by novel infrastructure and communication solutions being developed under the EDA Regional Technology and Innovation Hubs (Tech Hubs) initiative. However, the selection of Sustainable and Resilient Infrastructure (SRI) solutions would greatly benefit from a stakeholders’ consensus and support and community initiatives, and the adaptability of the community could be significantly enhanced by the implementation of the Disaster Mitigation and Regeneration Framework. The objective of the project is to facilitate community initiatives and improve resilience in those regions.

Expected Outcomes

  • Comprehensive Understanding: The community and stakeholders will gain a comprehensive understanding of factors influencing resilience and sustainability through the use of H-KPIs.
  • Informed Decision Making: Data-driven decision-making facilitated by digital twin technology will lead to more informed, effective strategies for disaster resilience and regeneration.
  • Showcase Communities: Showcase communities will demonstrate successful, community-driven resilience projects, potentially attracting federal funding and serving as models for future initiatives.

References

  1. Alanus von Radecki. "Morgenstadt Framework" https://www.morgenstadt.de/en/projekte/city_labs.html. 2023-11-12 2013-12-30. PDF file icon.svg
  2. Martin Serrano, Edward Griffor, David Wollman, Michael Dunaway, Martin Burns, Sokwoo Rhee, Christopher Greer. "Smart Cities: A Key Performance Indicators Framework" NIST SP 1900-206-upd1. 2022-02-24. doi 10.6028/NIST.SP.1900-206-upd1 PDF file icon.svg