The changing spatial economy of cities: An exploratory analysis of Cape Town

Sinclair-Smith, Ken; Turok, Ivan

doi:10.1080/0376835x.2012.706037

Cited by 48 publications

(26 citation statements)

References 15 publications

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“…The informal economy thus offers food sources which respond to key needs of poor consumers. This is particularly relevant in cities where unemployment and poverty are often concentrated in fragmented and remote peri-urban informal settlements [83,84].…”

Section: Food Environments In South Africa and Ghanamentioning

confidence: 99%

“…Kumasi was chosen as an urban area due to the high level of development and socio-economic status of residents. The spatial dislocation of Khayelitsha as a remote peri-urban dormitory settlement, a legacy of apartheid-era spatial planning, reinforces poverty as it traps the urban poor in areas far from job opportunities [83,84,108]. By comparison, Ahodwo is located fairly centrally in the Southeast of Kumasi metropolis, which reflects a ubiquitous and vibrant street economy.…”

Section: Sites Instruments and Analysismentioning

confidence: 99%

“…It thus appears that in Khayelitsha, household incomes are a stronger determinant of obesogenic food consumption patterns than local food availability-while most households are poor, the poorest tend to reduce consumption of ultra-processed foods and protective foods-their obesity risk derives from a reduction of protective foods and increased reliance on energy-dense staples. Poverty in Khayelitsha is reinforced spatially by the dislocation of Khayelitsha as a remote peri-urban dormitory settlement, a legacy of apartheid-era spatial planning, which traps the urban poor in areas far from job opportunities [82,83,114]. By comparison, Ahodwo is located fairly centrally in the Southeast of Kumasi metropolis, with a ubiquitous and vibrant street economy, presumably presenting more opportunities for equitable participation.…”

Section: Implications For Food Environments Theorymentioning

confidence: 99%

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Mapping Obesogenic Food Environments in South Africa and Ghana: Correlations and Contradictions

et al. 2019

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In sub-Saharan Africa, urbanisation and food systems change contribute to rapid dietary transitions promoting obesity. It is unclear to what extent these changes are mediated by neighbourhood food environments or other factors. This paper correlates neighbourhood food provision with household consumption and poverty in Khayelitsha, South Africa and Ahodwo, Ghana. Georeferenced survey data of food consumption and provision were classified by obesity risk and protection. Outlets were mapped, and density and distribution correlated with risk classes. In Khayelitsha, 71% of households exceeded dietary obesity risk thresholds while 16% consumed protective diets. Obesogenic profiles were less (26%) and protective more prevalent (23%) in Ahodwo despite greater income poverty in Khayelitsha. Here, income-deprived households consumed significantly (p < 0.005) less obesogenic and protective diets. Small informal food outlets dominated numerically but supermarkets were key household food sources in Khayelitsha. Although density of food provision in Ahodwo was higher (76/km2), Khayelitsha outlets (61/km2) provided greater access to obesogenic (57% Khayelitsha; 39% Ahodwo) and protective (43% Khayelitsha; 16% Ahodwo) foods. Consumption and provision profiles correlate more strongly in Ahodwo than Khayelitsha (rKhayelitsha = 0.624; rAhodwo = 0.862). Higher obesogenic food consumption in Khayelitsha suggests that risky food environments and poverty together promote obesogenic diets.

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Section: Food Environments In South Africa and Ghanamentioning

confidence: 99%

Section: Sites Instruments and Analysismentioning

confidence: 99%

Section: Implications For Food Environments Theorymentioning

confidence: 99%

See 1 more Smart Citation

Mapping Obesogenic Food Environments in South Africa and Ghana: Correlations and Contradictions

et al. 2019

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“…These negative aspects sometimes exceed the benefits of spatial agglomeration (FERNÁNDEZ-MALDONADO et al, 2014). Therefore, relocation trends of economic activities at decentralised concentrations are caused by tension between economies and diseconomies of agglomeration and are theoretically understood as an outcome of multiple equilibria (ASIKHIA;NKEKI, 2013;FERNÁNDEZ-MALDONADO et al, 2014;LIN;ALLAN;CUI, 2015;SINCLAIR-SMITH, 2015;SINCLAIR-SMITH;TUROK, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Unlike very hierarchical monocentric urban structures, polycentric conformations are associated with strong functional interconnections and complex travel patterns between specialized and interdependent centres (LIMTANAKOOL; DIJST; SCHWANEN, 2007;DIJST, 2009;SINCLAIR-SMITH;TUROK, 2012). Two versions of polycentric urban configurations are characterized.…”

Section: Introductionmentioning

confidence: 99%

Identification of Polycentric Structures in Rio De Janeiro With Flow Data From the Metro System

Geaquinto

Neto

Filho

2018

RPD

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The development of the urbanisation process highlights the decentralisation phenomenon experienced markedly by metropolitan areas. Within its metropolitan area, Rio de Janeiro's central area, has been, historically, the most established region, and it has also had the highest share of jobs. Nevertheless, it shares its lead with another development centres. Despite that, regional urban planning has devoted little attention to the emerging subcentres, creating a mismatch that results in unnecessary trips, high average travel times, and high occupancy rates within vehicles. Also, an incorrect match PALAVRAS-CHAVE: centralidades, desenho de rede, Rio de Janeiro.

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Circulation of Models in Africa

BAFFI

2023

Urban Mobility Systems in the World

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The changing spatial economy of cities: An exploratory analysis of Cape Town

Cited by 48 publications

References 15 publications

Mapping Obesogenic Food Environments in South Africa and Ghana: Correlations and Contradictions

Mapping Obesogenic Food Environments in South Africa and Ghana: Correlations and Contradictions

Identification of Polycentric Structures in Rio De Janeiro With Flow Data From the Metro System

Circulation of Models in Africa

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