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The transitioning of an informal settlement to a slum: case study of Kisumu Ndogo and Mukuru Kwa Reuben in Nairobi, Kenya.

Okoth, Violla Achieng (2020) The transitioning of an informal settlement to a slum: case study of Kisumu Ndogo and Mukuru Kwa Reuben in Nairobi, Kenya.

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Abstract:Informal settlement (IS) and slums are seen as a by-product of failures to cope effectively with urbanization complexities. This is evidenced in Sub Saharan Africa (SSA) countries as they continue to confront transitioning of the IS to slum. As population increases, there is a need for constantly affordable housing, pushing into the formation of a slum, which spirals into uncertainty and patterns of its decay. Many authors have also studied IS and slum interchangeably focusing on their policy intervention, theorizing their development and monitoring them through mapping. However, little is mentioned about their transitioning which is significant. This study aimed to identify the indicators and drivers for transitions in Kisumu Ndogo informal settlement and Mukuru Kwa Reuben slum, in Nairobi Kenya. The indicators and drivers identification were first selected using literature review and then subjected to key experts, Focus Group Discussion with Nyumba Kumi representatives and residents to further identify relevant ones in the study context. To analyse the data, descriptive statistical analysis, that is frequency distribution and mean, were used to rank the indicators and drivers. The concept of Object-Based Image Analysis (OBIA) and rule base classification method was used to extract features from Quickbird imagery. Six features were extracted including built-up area, vegetation, road accessibility, bare land, water and shadow, and the final output analysed in the ArcGIS environment. Spatial metrics was also applied to analyse the complexity and the compactness of shapes and built-up area. The main findings revealed that only three indicators classified and identified the transition of informal settlement and slums. They included vegetation, built-up density and shape and location to CBD/industries and railway substation. On the other hand, three categories of drivers; physical, socio-economic and social-cultural factors accelerated transitioning of an IS to a slum. In conclusion, the following vegetation and location to CBD/industries and railway substation indicators and drivers were able to differentiate IS and slums and thus considered significant to map the transitioning.
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
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