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Aboshia, A M A, Rahmat, R A, Zain, M F M and Ismail, A (2017) Enhancing mortar strengths by ternary geopolymer binder of metakaolin, slag, and palm ash. International Journal of Building Pathology and Adaptation, 35(05), 438–55.

Glew, D, Smith, M B, Miles-Shenton, D and Gorse, C (2017) Assessing the quality of retrofits in solid wall dwellings. International Journal of Building Pathology and Adaptation, 35(05), 501–18.

Nieboer, N (2017) Improving energy performance of Dutch homes: coping with general investment behaviours. International Journal of Building Pathology and Adaptation, 35(05), 488–500.

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(05), 470–87.

  • Type: Journal Article
  • Keywords: Measurement; Resilience; Flood risk management; Fuzzy inference; Retrofits;
  • ISBN/ISSN: 2398-4708
  • URL: https://doi.org/10.1108/IJBPA-12-2016-0029
  • Abstract:
    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.

Swan, W, Fitton, R, Smith, L, Abbott, C and Smith, L (2017) Adoption of sustainable retrofit in UK social housing 2010-2015. International Journal of Building Pathology and Adaptation, 35(05), 456–69.