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Towards effective self-help housing delivery: Contributions through network analysis in Nairobi,Kenya and Johannesburg,South AfricaOmenya, Alfred Odhiambo 01 March 2007 (has links)
Student Number : 0111065D -
PhD thesis -
School of Architecture and Planning -
Faculty of Engineering and the Built Environment / This thesis deals with self-help housing networks in Nairobi, Kenya and Johannesburg,
South Africa. It starts by discussing some of the current manifestations and challenges of
self-help housing in the two contexts. It locates these against neo-liberal development
paradigms in Kenya and South Africa. It reviews some of the main theories and concepts
that have been applied to understand self-help housing, arguing that there are many issues
that these lenses fail to explain. Amongst these are the relationships amongst actors and
the ways resources are exchanged in self-help housing. The thesis discusses some of the
key resources used for self-help housing in Nairobi and Johannesburg, namely: land,
finance, labour, materials and technology, and infrastructure and services. It develops a
case for network analysis of these resources and actors in self-help housing.
The second part of the thesis is dedicated to analysis of self-help housing networks in
Nairobi and Johannesburg, based on empirical data. The three categories of networks
analysed are: individual-based ego-centric networks; group-based networks of collective
action; and content-of-ties-based networks of exchange. The study compares self-help
housing networks in Nairobi and Johannesburg. On one hand, lack of the state
intervention in Kenya has resulted in self-help housing in Nairobi being accessed almost
exclusively through networks. On the other hand, state intervention in South Africa has
resulted in weakening of ties within local groups and domination of state/market
hierarchies in access to various self-help housing resources in Johannesburg.
The major conclusion from this study is that, in both cities, networks remain a viable
third way of provision of housing, in addition to (not instead of) housing production
through state/market hierarchies and decentralised models. Networks tend to overcome
lack of inclusion dominant in state/market hierarchies and lack of capacity, endemic in
decentralised models. In terms of analysis, the study shows that network theories are
relevant to understanding the operations of actors and access to resources in low-income
housing, complementing sector-based understanding, which remains dominant in analysis
of low-income housing today.
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