Benchmarking performance of SWM systems in East Africa

Professor David C Wilson has been working for the last two years with the Rwandan academic Telesphore Kabera to apply the Wasteaware indicators to benchmark performance of the solid waste management (SWM) and recycling system in Kigali, the capital of Rwanda. Their results form the basis of a paper published today in the first ever open access issue of the long established ISWA peer-reviewed journal Waste Management & Research. The paper uses previously unpublished results from the Wasteaware database to compare Kigali’s performance with four other East African capital cities – Dar-es-Salaam, Kampala, Nairobi and Maputo.
The Wasteaware benchmark indicators grew out of work originally carried out for UN-Habitat’s Soild Waste Management in the World’s Cities (2010). They provide a standardised method to characterise the performance of a city’s SWM and recycling system across some 15 indicators, some quantitative and some qualitative, covering both waste generation, the physical aspects of waste and resource management, and various governance aspects. Results for the first 40 cities were used extensively in UNEP and ISWA’s inaugural Global Waste Management Outlook (2015). They are now being applied widely, both to characterise the baseline position in a city; to identify priority areas for improvement; and to monitor progress over time.

From this paper on East Africa, the stand-out result is the relatively high collection coverage achieved in two of the cities: in Maputo with extensive international technical assistance, and in Kigali using its own local resources. In both cases, governance factors are key. Kigali uses a public-private partnership (PPP), with exclusive franchises in 35 sectors being tendered every three years; households pay an affordable fee depending on their ability to pay (the service is free to the poorest category); 95% fee collection rates are achieved, partly through co-collection with charges for local security patrols, which is a service people value highly given the recent history of the country.

Another key priority to improve solid waste management across East Africa is to eliminate open dumping – only Kampala currently has an engineered disposal site. Recycling rates also need to be increased – only Nairobi currently has a good baseline to build on (30%). Common weaknesses include a lack of segregation at source; and of institutional capacity and of available and reliable waste data.

New map comparing MSWM around the World

The 2016 World Population Data Sheet focuses on human needs and sustainable resources, and features a map comparing municipal solid waste generation and management in cities around the world. For reliable and comparable data, the US think tank Population Resources Bureau (PRB) turned to the Wasteaware benchmark indicators. The map features 18 cities selected from the current database of 40 cities prepared and collated by Professor David C Wilson and colleagues.

The World Population Data Sheet (WPDS) is an authoritative resource prepared annually by the long-established PRB, and widely used across the World. This year’s special focus, ‘Human Needs, Sustainable Resources’, is the subject of an online Insights feature. The inclusion of MSWM recognises it is an essential utility service to protect public health and both the local and global environment. The map highlights that waste quantities rise with the income level of the country. For each of the 18 cities, data is also shown for the Wasteaware benchmark indicators for public health (% collection coverage), environmental protection (% of collected waste properly disposed) and resource management (%recycled). The Wasteaware indicators provide a reliable comparison of the performance of a city’s MSWM system; the database for 40 cities has been prepared and collated By Professor David C Wilson (Imperial College London), Dr Ljiljana Rodic (Independent Consultant, Leiden, Netherlands) and Dr Costas Velis (University of Leeds). The WPDS may be downloaded as a pdf, and a data visualisation tool and teaching resources are also available.