This paper examines the availability of data on disaster losses in urban areas in sub-Saharan Africa (SSA) and what this data tells us.
The purpose of this background paper is to describe recent trends in African urban centres, review potential future trajectories of these, and examine their possible implications for risk accumulation and risk reduction.
Dans l’histoire de la pensée des sciences humaines, la pression démographique sur les ressources d’une communauté a fait l’objet de plusieurs écrits. Aujourd’hui, cela est devenu une réalité qui inquiète aussi bien les chercheurs que les décideurs.
This paper describes how a large proportion of sub-Saharan Africa’s national (and urban) population lives in urban centres other than large cities and considers what we know about risk in these urban centres. The region has thousands of urban centres with under 20,000 inhabitants and probably ov
The main urban issue that sub-Saharan Africa is facing is a rapid growth in its urban population (or in the population of particular cities) without the urban governance structures in place that can manage this.
Urban agglomerations are inherently subject to multiple intensive and extensive risks related to the complexity of their physical and socio-economic systems of production and decision- making process by urban actors at multiple scales.
Populations and assets, in African cities, small and large, are among the most vulnerable to disaster risk globally. Climate change and demographic shifts add urgency and uncertainty. This paper outlines priorities for research responding to this challenge.
This chapter is a counterpoint to those in the rest of this volume that treat Africa’s large cities. As Simon (Int Dev Plann Rev 36(2):v– xi, 2014) has observed, most study of African urban climate change adaptation has focused on the challenges to large cities.
The report presents the results of a Baseline study on the Urban Households Economy Analysis (Urban HEA) for households that are at risk of flooding in the city of Niamey, Niger. Data were collected in the field from communities of 11 vulnerable districts often victims of flooding.