This publication covers a range of disaster risk management (DRM) themes, from community participation in DRM data collection to risk mapping and from urban waste management to hazard accumulation in urban risk traps.
In African cities, orienting risk management towards a developmental agenda can
confront the root causes of poverty and risk. Transition to an integrated approach has
the most chance of success when it combines interventions working on the risk culture
Dominant global climate change narratives and framings frequently do not translate well into local adaptation decision making. Narratives, such as increasing droughts, increasing flooding, and more frequent extreme events, are often not supported by climate science evidence at the local scale.
Small- and medium-sized cities and towns in sub-Saharan Africa are growing fast and accumulating risks. Local governments seek to build the resilience of their city in conditions of complex interdependent urban systems and gaps in data and information.
Research carried out in Dar es Salaam, Tanzania on cross-scalar risk communication and disaster risk governance reveals that, while there is considerable potential for communities to measure and communicate risk and to prioritise actions, there is little scope for them to influence disaster risk
In Dar es Salaam, climate model analysis strongly suggests that both day- and nighttime temperatures will rise, with heat waves also expected to increase. Heat will likely aggravate many existing health and well-being risks in the city.
Community-based organisation and action can contribute greatly to disaster risk reduction, and interlinked to this, to building resilience to the impacts of climate change.
Dar es Salaam has a tropical climate with relatively warm temperatures, high humidity, and annual rainfall over 1000 mm.
The inhabitants of African towns and cities face a range of hazards, which can best be described as representing a ‘spectrum of risk’ from events that can cause death, illness or injury, and impoverishment.
This paper examines the availability of data on disaster losses in urban areas in sub-Saharan Africa (SSA) and what this data tells us.