Public green space inequality in small towns in South Africa
- McConnachie, Matthew M, Shackleton, Charlie M
- Authors: McConnachie, Matthew M , Shackleton, Charlie M
- Date: 2010
- Language: English
- Type: Article
- Identifier: vital:6644 , http://hdl.handle.net/10962/d1006874
- Description: The distribution of public green space within towns is frequently uneven, and influenced by attributes such as its location relative to the commercial core, as well as the ethnicity and relative wealth and education of the residents. Yet most studies are from large cities in developed countries. In contrast, this study reports on the distribution of public green space across 9 small towns in a developing country, namely South Africa, which offers a unique case study because of its former racially defined settlement patterns. We do so using GIS analysis of aerial photographs focusing on 3 types of suburbs in each town, defined on the basis of wealth as well as race-based history under the previous apartheid regime. The more affluent suburbs, inhabited mainly by whites, have the lowest density of housing and the highest area of green space per capita. Proportionally, they have a similar area under public green space as to the previously racially defined townships, but because of the lower housing density, they have a greater area per person. The newly built low-cost housing areas (termed RDP suburbs), occupied largely by poor black South Africans, are poorly endowed with public green space, and fare worse than the other 2 suburb types on all attributes measured. This needs to be addressed in further low-cost housing developments.
- Full Text:
- Date Issued: 2010
- Authors: McConnachie, Matthew M , Shackleton, Charlie M
- Date: 2010
- Language: English
- Type: Article
- Identifier: vital:6644 , http://hdl.handle.net/10962/d1006874
- Description: The distribution of public green space within towns is frequently uneven, and influenced by attributes such as its location relative to the commercial core, as well as the ethnicity and relative wealth and education of the residents. Yet most studies are from large cities in developed countries. In contrast, this study reports on the distribution of public green space across 9 small towns in a developing country, namely South Africa, which offers a unique case study because of its former racially defined settlement patterns. We do so using GIS analysis of aerial photographs focusing on 3 types of suburbs in each town, defined on the basis of wealth as well as race-based history under the previous apartheid regime. The more affluent suburbs, inhabited mainly by whites, have the lowest density of housing and the highest area of green space per capita. Proportionally, they have a similar area under public green space as to the previously racially defined townships, but because of the lower housing density, they have a greater area per person. The newly built low-cost housing areas (termed RDP suburbs), occupied largely by poor black South Africans, are poorly endowed with public green space, and fare worse than the other 2 suburb types on all attributes measured. This needs to be addressed in further low-cost housing developments.
- Full Text:
- Date Issued: 2010
The extent of public green space and alien plant species in 10 small towns of the sub-tropical Thicket Biome, South Africa
- McConnachie, Matthew M, Shackleton, Charlie M, McGregor, Gillian K
- Authors: McConnachie, Matthew M , Shackleton, Charlie M , McGregor, Gillian K
- Date: 2008
- Language: English
- Type: Article
- Identifier: vital:6713 , http://hdl.handle.net/10962/d1006755
- Description: Urban areas in developing countries will accommodate nearly 90% of the projected world population increase between 1995 and 2030. Despite this, few studies, especially in smaller towns, have been carried out on urban green space areas in the developing world. This paper makes a first step in this regard, reporting on the extent and state of urban green spaces within 10 small towns in the Eastern Cape (South Africa). After measuring the size and state (in terms of woody plant cover) of public green space, we then sought patterns across the 10 towns between green space attributes, such as area, density, mean size and proportion of alien or indigenous, with socio-economic attributes of the towns. The area and state of current public green space varied markedly between the towns, with the poorer towns faring the worst. Lower income levels were significantly negatively correlated with the area and quality of public green space. Despite this, human population density and per capita green space were the best predictors of the proportion and mean area of public green space present in the towns. The proportion of town green space and the per capita green space were the best predictors of changes in woody plant composition and density.
- Full Text:
- Date Issued: 2008
- Authors: McConnachie, Matthew M , Shackleton, Charlie M , McGregor, Gillian K
- Date: 2008
- Language: English
- Type: Article
- Identifier: vital:6713 , http://hdl.handle.net/10962/d1006755
- Description: Urban areas in developing countries will accommodate nearly 90% of the projected world population increase between 1995 and 2030. Despite this, few studies, especially in smaller towns, have been carried out on urban green space areas in the developing world. This paper makes a first step in this regard, reporting on the extent and state of urban green spaces within 10 small towns in the Eastern Cape (South Africa). After measuring the size and state (in terms of woody plant cover) of public green space, we then sought patterns across the 10 towns between green space attributes, such as area, density, mean size and proportion of alien or indigenous, with socio-economic attributes of the towns. The area and state of current public green space varied markedly between the towns, with the poorer towns faring the worst. Lower income levels were significantly negatively correlated with the area and quality of public green space. Despite this, human population density and per capita green space were the best predictors of the proportion and mean area of public green space present in the towns. The proportion of town green space and the per capita green space were the best predictors of changes in woody plant composition and density.
- Full Text:
- Date Issued: 2008
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