Measuring flood resilience: A fuzzy logic approach

Oladokun, V O; Proverbs, D G and Lamond, J (2017) Measuring flood resilience: A fuzzy logic approach. International Journal of Building Pathology and Adaptation, 35(5), pp. 470-487.

Abstract

Purpose Flood resilience is emerging as a major component of an integrated strategic approach to flood risk management. This approach recognizes that some flooding is inevitable and aligns with the concept of “living with water.” Resilience measurement is a key in making business case for investments in resilient retrofits/adaptations, and could potentially be used to inform the design of new developments in flood prone areas. The literature is, however, sparse on frameworks for measuring flood resilience. The purpose of this paper is to describe the development of a fuzzy logic (FL)-based resilience measuring model, drawing on a synthesis of extant flood resilience and FL literature. Design/methodology/approach An abstraction of the flood resilience system followed by identification and characterization of systems' variables and parameters were carried out. The resulting model was transformed into a fuzzy inference system (FIS) using three input factors: inherent resilience, supportive facilities (SF) and resident capacity. Findings The resulting FIS generates resilience index for households with a wide range of techno-economic and socio-environmental features. Originality/value It is concluded that the FL-based model provides a veritable tool for the measurement of flood resilience at the level of the individual property, and with the potential to be further developed for larger scale applications, i.e. at the community or regional levels.

Item Type: Article
Uncontrolled Keywords: measurement; resilience; flood risk management; fuzzy inference; retrofits
Index terms: household, adaptation, fuzzy logic, business case, methodology, drawing, flooding, flood risk management, fuzzy inference
Subjects: environmental hazards, decision-making and optimization, demography, financial risk, research methods, strategic project management, data science, technical documentation, user focus
Topics: Design Practice, Urban Studies, Digital Applications, Project Management, Research Practice, Cost Management, Sustainability
Descriptive scope: 4 PCTA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here