Flood Resilience Quantification for Housing Infrastructure Using Analytic Hierarchy Process

Natural hazards are severely damaging infrastructure systems, so it is essential to make the existing infrastructure more resilient to increase the considered infrastructure resisting ability. Resilience is the enduring capacity of an infrastructure system against natural disasters and quickly recover after the disaster. As the impact of any hazard cannot be stopped or reduced, and resilience depends on several parameters, it is essential to study the sensitivity of the resilience parameters. Additionally, a robust framework should be developed with the concept of resilience to enhance the resisting ability. The basic need of living is the housing infrastructure, so a practical resilience-based framework for housing infrastructure must be developed. In this work, a framework for quantification of resilience against flood hazard is developed by using a multi-criteria decision method (MCDM) tool, such as the analytic hierarchy process (AHP). Initially, several resilience parameters are considered based on literature and experts’ knowledge. Then, a field survey is performed for the collection of required data. After getting the data needed, a flood resilience model is developed. Lastly, using AHP, the importance of each resilience parameter is identified, and also, the resilience is evaluated for all the surveyed places. The sensitivity of each parameter will help the decision-makers to focus on the most critical parameter/s to make the considered infrastructure more resilient for future hazards. Additionally, the evaluated resilience values will help the stakeholders by providing the surveyed places’ real scenario against flood hazard.