Modelling residential segregation as unevenness and clustering

A multilevel modelling approach incorporating spatial dependence and tackling the MAUP

Journal Article (2018)
Author(s)

Kelvyn Jones (University of Bristol)

D.J. Manley (TU Delft - OLD Urban Renewal and Housing, University of Bristol)

Ron Johnston (University of Bristol)

D. Owen (University of Bristol)

Research Group
OLD Urban Renewal and Housing
Copyright
© 2018 Kelvyn Jones, D.J. Manley, Ron Johnston, D. Owen
DOI related publication
https://doi.org/10.1177/2399808318782703
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 Kelvyn Jones, D.J. Manley, Ron Johnston, D. Owen
Research Group
OLD Urban Renewal and Housing
Issue number
6
Volume number
45
Pages (from-to)
1122-1141
Reuse Rights

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Abstract

Traditional studies of residential segregation use a descriptive index approach with predefined spatial units to report the degree of neighbourhood differentiation. We develop a model-based approach which explicitly includes spatial effects at multiple scales, recognising the complexity of the urban environment while simultaneously distinguishing segregation at each scale net of all other scales. Moreover, this model distinguishes segregation as unevenness and as spatial clustering in the presence of stochastic variation. The modelling approach, unlike traditional index approaches, allows hypothesis evaluation concerning alternative scales and zonation through an accompanying badness-of-fit measure. Ultimately, this permits the identification of the scale and zonation regime where the spatial patterns come into focus thereby directly tackling the modifiable areal unit problem. The model is applied to Indian ethnicity in Leicester, UK, finding segregation as unevenness and as spatial clustering at multiple scales.

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