Modelling residential segregation as unevenness and clustering: A multilevel modelling approach incorporating spatial dependence and tackling the MAUP

Kelvyn Jones, David Manley, Ron Johnston, D. Owen

    Research output: Contribution to journalArticleScientificpeer-review

    25 Citations (Scopus)
    28 Downloads (Pure)

    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.
    Original languageEnglish
    Pages (from-to)1122-1141
    Number of pages20
    JournalEnvironment and Planning B: Urban Cities and City Science
    Volume45
    Issue number6
    DOIs
    Publication statusPublished - 2018

    Fingerprint

    Dive into the research topics of 'Modelling residential segregation as unevenness and clustering: A multilevel modelling approach incorporating spatial dependence and tackling the MAUP'. Together they form a unique fingerprint.

    Cite this