Document Type

Dissertation

Degree

Doctor of Philosophy (PhD)

Major/Program

Civil Engineering

First Advisor's Name

Lu Zhang

First Advisor's Committee Title

Committee chair

Second Advisor's Name

David Garber

Second Advisor's Committee Title

Committee member

Third Advisor's Name

Ioannis Zisis

Third Advisor's Committee Title

Committee member

Fourth Advisor's Name

Seung Jae Lee

Fourth Advisor's Committee Title

Committee member

Keywords

Disaster, Resilience, stakeholder, Values, Housing

Date of Defense

6-30-2023

Abstract

The importance and urgency of ensuring resilience of residential buildings are driven by the alarming escalation in the frequency and intensity of natural disasters, alongside a growing recognition of the protective role that residential buildings play in safeguarding individuals and communities in the face of these adversities. Enhancing resilience of residential buildings requires us to select a path that recognizes and rewards the value of resilience to the individual, household, community, and nation. Presently, little guidance exists for communities to understand how to place meaningful resilience value on all of their assets. The ability to evaluate the assets of communities (e.g., housing) and to measure the value of resilience is crucial to improving disaster resilience. Such evaluation should be coupled with stakeholder values to ensure that the maximum value is delivered to stakeholders based on their value priorities. The lack of an effective value measurement method has led many stakeholders to debate the costs and effectiveness of disaster resilience strategies and has reinforced the need for value-driven decision-making for disaster resilience.

The focus of this dissertation is to bridge this gap through the proposal of a unique resilience evaluation model – the Stakeholder-Value-Dynamic-Driven Resilience Evaluation (SVD-RE) Model. This model offers a human-centered method for resilience evaluation, incorporating stakeholder value systems and dynamics. Value systems, which are ranked systems of things that are of importance to stakeholders, can dynamically change within disaster contexts. The model mathematically incorporates (1) the degree that a resilience asset fulfills stakeholder values (i.e., resilience fulfillment degree), (2) stakeholder value systems and dynamics in a disaster, and (3) the integration and alignment between resilience fulfillment degree and stakeholder value systems in different phases of a disaster. To validate and illustrate the use of this model, both experimental and real case studies were conducted to assess the resilience value of alternative housing projects in the context of hurricane disasters. A prototype decision support system was developed based on the model to allow for automatic resilience evaluation. This model together with the prototype system support a human-centered approach to resilience assessment, enabling the creation of resilience designs and strategies that effectively cater to stakeholder needs and priorities.

This dissertation contributes to both academic and practical fields. It offers a new resilience evaluation model for residential buildings by incorporating stakeholder perspectives in a systematic and dynamic manner. Practically, it provides an effective tool for evaluating residential building resilience, and promoting the design and development of residential buildings that are more robust against disasters.

Identifier

FIDC011216

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