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Policy visions and lived realities diverge in pursuit of urban quality of life in Africa

Abstract

Conflicting interests and logic weaken policy effectiveness and induce clashes between the state and local communities. As the “protest capital of the world,” this is particularly evident in South Africa. The study uses a grounded theory approach, combining the analysis of government planning directives with qualitative data from seven South African low-income communities, to explore how quality of life is understood and prioritized. Although state and community actors broadly agree on what contributes to quality of life, the findings reveal important disconnects in how priorities are framed. These misalignments emerge across temporal, responsibility and spatial dimensions. Communities face daily employment, services and safety challenges, whereas state planning often focuses on long-term development. Improving the quality of life will require recognizing that spatial decisions are shaped by interpretation, power dynamics and the uneven use of data in decision-making.

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Fig. 1: Pluralism of entities within the complex urban system of the global South.
Fig. 2: Sankey diagram showing how key planning directives engage with QoL indicators in spatial decision-making.
Fig. 3: A map of case study locations, urban hierarchy and the perceived importance of QoL indicators.

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Data availability

The interview data we used in the study are not publicly available due to confidentiality agreements with the participants and institutional restrictions. We were granted limited access to the data and do not have permission to share or publish them.

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Acknowledgements

We acknowledge financial support from the National Research Foundation (NRF) of South Africa number 129996 (N.S.W.).

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Contributions

N.S.W. led the study and was responsible for the conceptualization, methodology, data collection, analysis, visualization and writing of the original draft. E.J.C., C.C., S.C. and R.P.B. contributed with critical input across the research process, including guidance on study design, interpretation of findings and refinement of the manuscript. S.d.B. contributed to the data curation, figure development and writing. S.J.P. supported with the broader project design and data collection and provided valuable input on the manuscript. All authors reviewed and approved the final version of the manuscript.

Corresponding author

Correspondence to Niké Susan Wesch.

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The authors declare no competing interests.

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Nature Cities thanks Nobukhosi Ngwenya and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Extended data

Extended Data Fig. 1 Research design and analysis pathway informing the emergent QoL framework.

This figure illustrates the research design and analytical process followed in the development of an emergent QoL framework22,45,47, grounded in a constructivist potion and applying grounded theory methodology. The process began with a multiperspective data collection strategy, incorporating three key sources: (1) global index reports meeting the inclusion criteria that referenced the spatial dimensions of QoL, (2) the state perspective, represented through South African spatial planning directives, and (3) the community perspective drawn from two qualitative datasets of baseline QoL interviews conducted in both planned and unplanned low-income settlements. From these data sources, an initial identification of QoL indicators was undertaken. This informed the next state, a multilayered data analysis process, combining three qualitative strategies: content analysis to categorize social indicators related to QoL, storyline analysis to trace the underlying rationalities and implicit argument guiding planning directives, and case study analysis to situate the emerging themes in lived, empirical realities. Inductive coding was applied in content analysis to allow themes to emerge from the data and elaborative coding was used to refine and extend these codes in the context of directives and interview data. Literature was revisited throughout the process to support theoretical elaboration without imposing pre-existing categories. The figure visualizes this iterative and layered approach, showing how various data sources and analytical techniques were combined to produce a grounded, contextually responsive QoL framework.

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Wesch, N.S., De Beer, S., Claassen, C. et al. Policy visions and lived realities diverge in pursuit of urban quality of life in Africa. Nat Cities 2, 1060–1070 (2025). https://doi.org/10.1038/s44284-025-00323-w

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