A new end-user-oriented and dynamic approach to post-disaster resilience quantification for individual facilities.

Area of Science:

• Engineering
• Disaster Management
• Urban Planning

Background:

• Community recovery from disasters is complex, with infrastructure importance changing dynamically.
• Existing resilience metrics often fail to capture this temporal variation in functionality.
• This limitation can lead to inaccurate assessments of recovery trajectories.

Purpose of the Study:

• To propose a novel, straightforward metric for component-level post-disaster resilience quantification.
• To address the limitations of existing metrics in capturing dynamic infrastructure importance.
• To facilitate flexible, context-specific interpretations of infrastructure functionality.

Main Methods:

• Developed a new metric incorporating a dynamic weighting component.
• The metric allows stakeholders to emphasize different time points during recovery.
• Demonstrated the metric's versatility through a hypothetical case study.

Main Results:

• The proposed metric effectively captures the dynamic importance of infrastructure functionality over time.
• It offers a more nuanced assessment of resilience compared to traditional methods.
• The case study highlighted the metric's adaptability to varying facility importance.

Conclusions:

• The novel metric provides a user-centered approach to resilience quantification.
• It supports stakeholder-driven decision-making for critical infrastructure recovery.
• This approach enhances the understanding and management of post-disaster resilience.