Towards Urban Resource Flow Estimates in Data Scarce Environments: The Case of African Cities The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Currie, Paul, et al. "Towards Urban Resource Flow Estimates in Data Scarce Environments: The Case of African Cities." Journal of Environmental Protection 6, 9 (September 2015): 1066-1083 © 2015 Author(s) As Published 10.4236/JEP.2015.69094 Publisher Scientific Research Publishing, Inc, Version Final published version Citable link https://hdl.handle.net/1721.1/124946 Terms of Use Creative Commons Attribution 4.0 International license Detailed Terms https://creativecommons.org/licenses/by/4.0/ Journal of Environmental Protection, 2015, 6, 1066-1083 Published Online September 2015 in SciRes. http://www.scirp.org/journal/jep http://dx.doi.org/10.4236/jep.2015.69094 Towards Urban Resource Flow Estimates in Data Scarce Environments: The Case of African Cities Paul Currie1*, Ethan Lay-Sleeper2, John E. Fernández2, Jenny Kim2, Josephine Kaviti Musango3 1School of Public Leadership, Stellenbosch University, Stellenbosch, South Africa 2Department of Architecture, Massachusetts Institute of Technology, Cambridge, USA 3School of Public Leadership, and the Centre for Renewable and Sustainable Energy Studies (CRSES), Stellenbosch, South Africa Email: *
[email protected] Received 29 July 2015; accepted 20 September 2015; published 23 September 2015 Copyright © 2015 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract Data sourcing challenges in African nations have led many African urban infrastructure develop- ments to be implemented with minimal scientific backing to support their success.