Fires cause over 300,000 deaths annually worldwide and leave millions more with permanent injuries: some 95% of these deaths are in low- and middle-income countries. Burn injury risk is strongly associated with low-income and informal (or slum) settlements, which are growing rapidly in an urbanising world. Fire policy and mitigation strategies in poorer countries are constrained by inadequate data on incidence, impacts, and causes, which is mainly due to a lack of capacity and resources for data collection, analysis, and modelling. As a first step towards overcoming such challenges, this project reviewed the literature on the subject to assess the potential of a range of methods and tools for identifying, assessing, and addressing fire risk in low-income and informal settlements; the process was supported by an expert workshop at University College London in May 2016. We suggest that community-based risk and vulnerability assessment methods, which are widely used in disaster risk reduction, could be adapted to urban fire risk assessment, and could be enhanced by advances in crowdsourcing and citizen science for geospatial data creation and collection. To assist urban planners, emergency managers, and community organisations who are working in resource-constrained settings to identify and assess relevant fire risk factors, we also suggest an improved analytical framework based on the Haddon Matrix.
As the COVID-19 pandemic spreads in Africa, attention is increasingly shifting to the potential and ongoing impact on informal settlements, which face considerable challenges around the implementation of conventional control measures of social distancing, hand washing and self-isolation. In Freetown, Sierra Leone, residents of informal settlements have relied on local community organisations and groups, and their resourcefulness to provide essential preparedness, response and on-going support to alleviate the public health and economic risks associated with the effects of the COVID-19 outbreak. This is also premised on lessons drawn from dealing with previous epidemics, notably the Ebola virus disease in 2014–2015.This paper will explain the nature and form of community organisation that can be galvanised and leveraged for COVID-19 preparedness and responses that are suited for informal settlements. Secondly, it highlights the critical contribution of community organisations in social protection measures that tackle deeply entrenched inequalities in rapidly urbanising contexts. Finally, the cases examined seek to provide evidence of the value of processes of continuous learning within community organisation that are essential for both humanitarian assistance and emergency management. Although situated in Freetown, the broad lessons drawn are relevant for urban-poor communities and informal settlements in many urban African centres.
Risk-sensitive urban development is required to reduce accumulated risk and to better consider risk when planning new developments. To deliver a sustainable city for all requires a more frank and comprehensive focus on procedure: On who makes decisions, under which frameworks, based upon what kind of data or knowledge, and with what degree and direction of accountability? Acting on these procedural questions is the promise of transformative urban development. This paper explores the status of risk sensitive and transformative urban development and the scope for transition towards these components of sustainability in urban sub-Saharan Africa through the lens of diverse city cases: Karonga (Malawi), Ibadan (Nigeria), Niamey (Niger) and Nairobi (Kenya). The paper draws from a 3-year research and capacity building programme called Urban Africa: Risk Knowledge that aims to address gaps in data, understandings and capacity to break cycles of risk accumulation. A common analytical framework is presented to help identify blockages and opportunities for transition towards a risk-sensitive and transformative urban development. This framework is then illustrated through each city in turn and a concluding discussion reflects on city observations to draw out recommendations for city level and wider action and research partnerships.
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