USAID (1980) Review of Household Income Estimates for Nairobi, Lima and Tunis, and Preliminary Description of Methodology for Estimating Household Incomes. Office of Housing, Agency for International Development, Washington DC.

has been cited by the following article:

• TITLE: Towards Urban Resource Flow Estimates in Data Scarce Environments: The Case of African Cities

  AUTHORS: Paul Currie, Ethan Lay-Sleeper, John E. Fernández, Jenny Kim, Josephine Kaviti Musango

  KEYWORDS: Urban Metabolism, Resource Flows, African Cities, Data Scaling, City Clustering

  JOURNAL NAME: Journal of Environmental Protection, Vol.6 No.9, September 23, 2015

  ABSTRACT: Data sourcing challenges in African nations have led many African urban infrastructure developments to be implemented with minimal scientific backing to support their success. In some cases this may directly impact a city’s ability to reach service delivery, economic growth and human development goals, let alone the city’s ability to protect ecosystem services upon which it relies. As an attempt to fill this gap, this paper describes an exploratory process used to determine city-level demographic, economic and resource flow data for African nations. The approach makes use of scaling and clustering techniques to form acceptable and utilizable representations of selected African cities. Variables that may serve as the strongest predictors for resource consumption intensity in African nations and cities were explored, in particular, the aspects of the Koppen Climate Zones, estimates of average urban income and GDP, and the influence of urban primacy. It is expected that the approach examined will provide a step towards estimating and understanding African cities and their resource profiles.