Abstract

The Group Areas Act of 1950 has resulted in post-apartheid South African cities being characterised by spatial patterns with limited access to social and economic opportunities for the black and coloured population. Typically, high-density low-income housing is located peripherally, while low density high-income housing is located in accessible central areas. With increased rural-to-urban migration, the demand for formal housing has historically surpassed supply, which has increased the growth of informal settlements. Current discourse within South African land use policy suggests that in-situ upgrading of informal housing is a viable response to integrate informal settlements into the formal city. In parallel, it is proposed that new low-income residential areas and employment-generating land uses should be located along transport corridors to improve access to transport, its infrastructure and the opportunities it provides for previously marginalised groups. This study uses Cape Town as a case city to explore two land-use driven development strategies directed at informal settlements and low-income housing. A dynamic land use transport model based on a cellular automata land use model and a four-stage transport model was used to simulate land use and transport changes. Specifically, in-situ upgrading of informal settlements and strategically locating new low-income residential and employment generating land uses along transport corridors were considered. The results from the analysis suggest that in-situ upgrading is a viable option only if new informal settlements are in areas with easy access to economic centres. With regards to low-income housing, targeted interventions aimed at ‘unlocking’ low-income housing activities along transport corridors were found to be useful. However, it was also observed that middle-income residential development and employment generating activities were also attracted to the same corridors, thus, resulting in mixed land uses, which is beneficial but can potentially result in rental bids between low and middle-income earners thus displacing low-income earners away from these areas.

Highlights

  • An estimated 1 billion people live in informal settlements where there is limited access to jobs and infrastructure for basic services, such as water and sanitation [1]

  • The model results, of the Kappa Simulation (KS), Fuzzy Kappa (FK) and Fuzzy Kappa Simulation (FKS) statistics for simulated maps are compared to a Random Constraint Match (RCM) model, which is used as a benchmark on which to assess the model performance

  • The model was able to allocate most trips to suburbs that are characterised as the main trip origins by bus, this is similar to findings in the City of Cape Town’s integrated plan [75]

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Summary

Introduction

An estimated 1 billion people live in informal settlements where there is limited access to jobs and infrastructure for basic services, such as water and sanitation [1]. In developing countries where informal settlements are part of the urban fabric and rapid urbanisation is accompanied by a mismatch between housing supply and demand, informal housing provides an affordable housing market [4,5,6]. Informal settlements/housing has a value, but they are a means through which value is exchanged [7]. While these settlements provide housing, they are characterised by poor living conditions and poverty [6,8]. Informal settlements are a response to the lack of planning [6,9,10,11] they are an organic process and urban infrastructure such as roads allow them to thrive by allowing informal settlement dwellers to fulfil their mobility and accessibility needs

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