Towards Urban Resource Flow Estimates in Data Scarce Environments: The Case of African Cities
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 goa...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Scientific Research Publishing, Inc,
2020
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| Online Access: | https://hdl.handle.net/1721.1/124946 |
| _version_ | 1811093616214409216 |
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| author | Currie, Paul Lay-Sleeper, Ethan Fernández, John E. Kim, Jenny Musango, Josephine Kaviti |
| author2 | Massachusetts Institute of Technology. Department of Architecture |
| author_facet | Massachusetts Institute of Technology. Department of Architecture Currie, Paul Lay-Sleeper, Ethan Fernández, John E. Kim, Jenny Musango, Josephine Kaviti |
| author_sort | Currie, Paul |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T15:47:56Z |
| format | Article |
| id | mit-1721.1/124946 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:47:56Z |
| publishDate | 2020 |
| publisher | Scientific Research Publishing, Inc, |
| record_format | dspace |
| spelling | mit-1721.1/1249462022-09-29T16:13:05Z Towards Urban Resource Flow Estimates in Data Scarce Environments: The Case of African Cities Currie, Paul Lay-Sleeper, Ethan Fernández, John E. Kim, Jenny Musango, Josephine Kaviti Massachusetts Institute of Technology. Department of Architecture 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. 2020-04-30T18:15:14Z 2020-04-30T18:15:14Z 2015-09 2015-07 2019-08-05T14:45:29Z Article http://purl.org/eprint/type/JournalArticle 2152-2219 2152-2197 https://hdl.handle.net/1721.1/124946 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) en 10.4236/JEP.2015.69094 Journal of Environmental Protection Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Scientific Research Publishing, Inc, Scientific Research Publishing |
| spellingShingle | Currie, Paul Lay-Sleeper, Ethan Fernández, John E. Kim, Jenny Musango, Josephine Kaviti Towards Urban Resource Flow Estimates in Data Scarce Environments: The Case of African Cities |
| title | Towards Urban Resource Flow Estimates in Data Scarce Environments: The Case of African Cities |
| title_full | Towards Urban Resource Flow Estimates in Data Scarce Environments: The Case of African Cities |
| title_fullStr | Towards Urban Resource Flow Estimates in Data Scarce Environments: The Case of African Cities |
| title_full_unstemmed | Towards Urban Resource Flow Estimates in Data Scarce Environments: The Case of African Cities |
| title_short | Towards Urban Resource Flow Estimates in Data Scarce Environments: The Case of African Cities |
| title_sort | towards urban resource flow estimates in data scarce environments the case of african cities |
| url | https://hdl.handle.net/1721.1/124946 |
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