A Methodology for Measuring the Property Flood Resilience (PFR) of Households at the Risk of Flooding

Adedeji, Taiwo (2022) A Methodology for Measuring the Property Flood Resilience (PFR) of Households at the Risk of Flooding. Doctoral thesis, Birmingham City University.

Taiwo Adedeji PhD Thesis published_Final version_Submitted Jan 2022_Final Award Jun 2022.pdf - Accepted Version

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The risks of flooding have been ever present for homes located in flood plains or close to coastal areas. Surface water flooding and flash flooding in urban areas means that homes located away from flood plains and coastal areas may also be exposed to flooding. While some of these homes have developed a level of resilience over time, many have very poor, inadequate or lack any level of resilience to flooding. This raises the questions as to what level of resilience is appropriate; how best to quantify flood resilience at the level of the individual homes; and what steps to take to improve resilience. However, despite the current focus on resilience within UK flood risk management policy and strategy, no accepted definition for the term exists and, more significantly, there is a lack of a general measurement framework for determining the level of flood resilience for an individual home. Hence, the aim of this research is to develop a model for reliably measuring the level of resilience present in individual homes at risk of flooding.

In order to establish the framework for this research, a comprehensive literature review was conducted on the concept of resilience and flood risk management in the context of households. Based on a synthesis of the literature, a conceptual framework of Property Flood Resilience (PFR) at the household level was developed which comprises both building and human components. A quantitative research methodology was employed towards testing the design and validity of the PFR framework, with data collected through a questionnaire survey of homeowners who have experienced flood events on their properties.

Different sets of analyses were performed on the data collected, including the normality test, analysis of variance (ANOVA), correlation analysis, and regression analysis. The overall PFR was modelled with the building and human resilience using multiple linear regression, and from this model it can be inferred that building and human resilience significantly predicts the level of the overall PFR. Further, building resilience were found to be positively and significantly associated with human resilience (at r = 0.407). This implies that increases in the resilience of the building component will result in an increase in the human resilience and ultimately increase in the overall resilience of the individual household.

The PFR model developed provides valuable information on the flood resilience levels currently present in the home for the benefit of homeowners. It also provides property experts and surveyors with a tool to estimate resilience levels within a property, enabling them to provide impartial and professional advice on risk exposure and measures that can be adopted to help further protect properties. The model also serves as an evidence based tool to inform insurers on the levels of resilience present within a given property and to consider how this might affect insurance premiums and excesses which will in turn improve the role of flood insurance as a market-based incentive, and to complement Government‘s effort in encouraging homeowners to invest in PFR.

Item Type: Thesis (Doctoral)
9 January 2022Submitted
22 June 2022Accepted
Uncontrolled Keywords: Flood, flood risk, flood risk management, resilience, flood resilience, property flood resilience
Subjects: CAH13 - architecture, building and planning > CAH13-01 - architecture, building and planning > CAH13-01-02 - building
CAH13 - architecture, building and planning > CAH13-01 - architecture, building and planning > CAH13-01-04 - planning (urban, rural and regional)
Divisions: Doctoral Research College > Doctoral Theses Collection
Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment
Depositing User: Jaycie Carter
Date Deposited: 30 Sep 2022 14:14
Last Modified: 30 Sep 2022 14:14
URI: https://www.open-access.bcu.ac.uk/id/eprint/13625

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