Abstract

In the recent past, the frequency and gravity of large-scale flood disasters have increased globally, resulting in casualties, destruction of property and huge economic loss. The destructive flood disaster devastating Louisiana, USA, is a recent example. Despite the availability of advanced technological capabilities for dealing with floods in developed nations, flood disasters continue to become more rampant and disastrous. Developing countries in Africa such as Benin, Ghana, Nigeria, Senegal and Sudan have recently experienced severe flooding, leaving a considerable number of human casualties and thousands displaced. In African cities, most vulnerable urban residents usually have lesser capacity and fewer resources to recover from the shocks of disaster as a result of the failure of governments to build human security for poor African residents. Many scholars have acknowledged the lack of appropriate vulnerability assessment frameworks and policies, questioning the efficiency and effectiveness of the tested models in Africa. The ability to accurately identify, measure and evaluate the various vulnerabilities of affected people and communities is a right step towards reducing disaster risk. This article aimed at developing a framework for assessing urban settlements’ vulnerability to flood risks in Africa. The framework is currently being tested to assess various dimensions of vulnerability drivers in three urban communities in Ibadan metropolis, the third largest city in Nigeria, focusing more on flood risk perceptions and behaviour of the risk bearers. It uses participatory and mixed method approaches to socially construct vulnerability of populations at risk. This model emanates from the evaluation of considerable relevant literature and an array of vulnerability assessment frameworks. It integrates some approaches that are applicable to African cities in a bid to create a versatile tool to assess, identify and mitigate the effects of flood disaster risk and reduce urban poor’s vulnerability to natural and human-induced hazards.

Highlights

  • There is an increase in the magnitude and scale of natural and human-induced disasters, in particular the hydro-meteorological-related disasters such as floods and windstorms (Cutter, Boruff & Shirley 2003; Vos et al 2010)

  • The Intergovernmental Panel on Climate Change (IPCC) has warned on many occasions that the frequency and gravity of extreme weather events such as drought and excessive rainfalls resulting in flood and landslides are unstoppable because of the human interference with the climate system (Hardoy, Mitlin & Satterthwaite 2013; IPCC 2013; Mitlin & Satterthwaite 2013)

  • According to UNHabitat (2011), informal settlements are residential houses where inhabitants lack basic services, security of tenure and non-compliance with building regulations. Most of these informal settlements inhabitants are vulnerable to multiple hazards because of their living conditions that are characterised by inadequate basic services, infrastructure and closeness to dangerous zones such as floodplains, rivers and other unsafe areas (Baker 2012)

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Summary

Introduction

There is an increase in the magnitude and scale of natural and human-induced disasters, in particular the hydro-meteorological-related disasters such as floods and windstorms (Cutter, Boruff & Shirley 2003; Vos et al 2010). The CLUVA model was developed for vulnerability assessment of urban systems, residents and assets in the context of natural and human-made disasters in Africa It shares some similarities with the PAR and BBC frameworks in areas of vulnerability concept in terms of the exposure, susceptibility and coping/adaptive capacity, as well as assessment at three levels of population groups: individual, household and community. Identification and careful selection of a suitable set of qualitative criteria are important for an effective and successful vulnerability assessment (Moser 2011; Wisner & Birkmann 2006) This framework adopts five components of vulnerability drivers through which different variables and indicators or criteria (Table 1) can be evaluated so as to understand the underlying root causes of flood vulnerability, as well as detailing the vulnerability profiles of urban settlements in African cities at varying scales and levels. In other studies (Chambers 1989; Moser 2011; Wisner 2006; Wisner & Birkmann 2006), they used criteria (qualitative) to gain a better understanding of the perceptions of flood-prone victims

Conclusion
Findings
Attitudinal Past flood experience Flood risk awareness
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