Neighbourhood change and spatial inequalities in Cape Town

Dados Bibliográficos

ID4620116
AutoresChristopher D Lloyd (0000-0003-0575-7793, Geography, School of Natural and Built Environment Queen’s University Belfast Belfast UK, autor correspondente), Saad Bhatti (School of Geography and Environmental Sciences Ulster University Coleraine UK), Saad Saleem Bhatti (0000-0002-1472-3731, University of Ulster), David Mclennan (0000-0002-8566-9437, Southern African Social Policy Research Insights Hove UK), Michael Noble (Southern African Social Policy Research Insights Hove UK), Gerbrand Mans (Council for Scientific and Industrial Research Pretoria South Africa), Gerbrand G Mans (0000-0002-4545-8360, Council for Scientific and Industrial Research)
Ano2021
Volume187
Fascículo4
Páginas315-330
Data de publicação2021-12-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoGeographical Journal (JOURNAL)
Identificadores do periódicoISSN: 0016-7398 • E-ISSN: 1475-4959
EditoraWiley (PUBLISHER • GB)
DOI10.1111/geoj.12400
OpenAlexW3166843535
IdiomaEN
Citações recebidas5
Referências citadas28

Capturing the dynamics of population change in urban areas necessitates access to geographically fine-grained and temporally consistent data for several time points. Such data are generally not available and they must be created using standard population data which cannot usually be compared across time periods. In this paper, the focus is on changing spatial inequalities in Cape Town, South Africa. This paper details an approach to generation of gridded population counts (250 m by 250 m) for two census years - 2001 and 2011. Census data for Small Area Layers (SALs), Spot Building Count (SBC) data, and Open Street Map (OSM) landuse data were used to construct a grid of populated cells to which population counts are then reallocated. The reallocation of population counts from SALs to grid cells was undertaken using area-to-point kriging - an approach which is informed by the spatial variation in the population groups of interest as measured using the variogram. A case study based on population grids of unemployment rates shows how the grids can be used to chart changes and also to measure spatial inequalities across the city at two time points. The advantages of grids for capturing fine-scale complexities and correctly accounting for physical separation between communities are demonstrated and the results show, while the broad patterns of inequality are consistent across time, there are pronounced increases in inequalities in some neighbourhoods. These areas - and what leads some areas to fall further behind - should be the subject of attention by policy-makers

Cartography · Census · Econometrics · Economic geography · Geography · Grid · Inequality · Neighbourhood (mathematics · Physical geography · Population · Sociology · Demography · Land Use and Ecosystem Services · Mathematics · Spatial and Panel Data Analysis · Urban Transport and Accessibility