A fuzzy-analytic hierarchy process approach for measuring flood resilience at the individual property level

Abstract

<jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>Recent changes in climate, rainfall patterns, snow melt and rising sea levels coupled with an increase in urban development have increased the threat of flooding. To curb these threats and mitigate these damages, property-level approaches to improving resilience are now being encouraged as part of an integrated approach to flood risk management. This raises questions such as, what are the flood resilient attributes within individual properties, what is their importance and how can these be quantified. This research sought to develop a quantitative approach for the measurement of property-level flood resilience.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>A synthesis of literature was undertaken to establish the main resilient attributes and their relevant sub-attributes. This process led to the development of a new method, named the Composite Flood Resilient Index (CFRI) to weight the attributes and sub-attributes of flood resilience based on their importance. The approach adopts the use of the fuzzy-analytic hierarchy process (F-AHP) approach to quantify flood resilience.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>The implications of the proposed methodology in determining the flood resilience of individual property, including the potential use in retrofitting activities, and the benefits to a range of stakeholders are considered.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Social implications</jats:title><jats:p>The methodology offers the potential to support the measurement of flood resilience of individual properties, allowing the identification and prioritisation of specific interventions to improve the resilience of a property.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>Whereas previous attempts to quantify flood resilience have adopted qualitative approaches with some level of subjectivity, this proposed methodology represents an important advancement in developing a scientific and quantitative approach.</jats:p></jats:sec>

A lean approach to healthcare management using multi criteria decision making

“…This study can help the drug industry by mitigating the obstacles to sustainability and improved quality manufacturing. [ 3 ] uses a fuzzy AHP approach for the measurement of property level flood resilience. In this work, the significant flood resilient attributes and their sub-attributes were identified by reviewing the literature.The authors then use FAHP methodology to develop a new model ‘Composite Flood Resilient Index’ based on the weightage associated with attributes and the sub-attributes.…”

Resilience Viewed through the Lens of Climate Change and Water Management

“…or even to measure resilience to flooding at property scales [63]. Sometimes system breaking points are revealed.…”

“…The extent to which various options manage "tolerable risk" can be tested using models of water systems exposed to very large ensembles of climate scenarios [61]. Analytical methods also help to evaluate options for managing urban floods [62], or even to measure resilience to flooding at property scales [63]. Sometimes system breaking points are revealed.…”

A fuzzy logic approach for measuring flood resilience at community level in Nigeria

“…Although previous research has attempted to work on resilience, such as Adebimpe et al (2018), Oladokun et al (2017) and Adebimpe et al (2020), the works have been directed to flood resilience at the individual property level. For example, Oladokun et al (2017) identified a wide range of inherent resistance, supporting facilities and resident capacity to define a three-variable mapping system that models a household's flood resilience response; factors that concern the flood-prone community where the individual properties are located were omitted.…”

“…Expert opinions were used in rating the input dimensions for the selected communities.Findings -In spite of various inputs from experts in the same study area (Apete, Ibadan, Nigeria), the resulting FIS generated consistent resilience indices for various natural, socio-technical and SEF. This approach can strengthen flood resilience measurement at the community level.Originality/value -Although previous attempts have been made to measure flood resilience at the individual property level (Oladokun et al, 2017;Adebimpe et al, 2020), this research focuses on measuring flood resilience at the community level by adapting the fuzzy logic approach. The fuzzy logic-based model can be a tool for flood resilience measurement at the community level.…”