Multi-scale measures of population : within and between city variation in exposure to the socio-spatial context
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Appreciating spatial scale is crucial for our understanding of the socio-spatial context. Multi-scale measures of population have been developed in the segregation and neighbourhood effects literatures, which have acknowledged the role of a variety of spatial contexts for individual outcomes and inter-group contacts. Although existing studies dealing with socio-spatial inequalities increasingly explore the effects of spatial scale, there has been little systematic evidence on how exposure to socio-spatial contexts changes across urban space, both within and between cities. This paper presents a multi-scale approach to measuring potential exposure to others. Using individual level register data for the full population of the Netherlands, and an exceptionally detailed multi-scalar framework of bespoke neighbourhoods at 101 spatial scales, we measured the share of non-Western ethnic minorities for three Dutch cities with different urban forms. We created individual and cumulative distance profiles of ethnic exposure, mapped ethnic exposure surfaces, and applied entropy as a measure of scalar variation to compare potential exposure to others in different locations both within and between cities. The multi-scale approach can be implemented for examining a variety of social processes, notably segregation and neighbourhood effects.
Petrović , A , van Ham , M & Manley , D 2018 , ' Multi-scale measures of population : within and between city variation in exposure to the socio-spatial context ' Annals of the American Association of Geographers , vol 108 , no. 4 , pp. 1057-1074 . DOI: 10.1080/24694452.2017.1411245
Annals of the American Association of Geographers
© 2018 The Author(s). Published with license by Taylor & Francis © Ana Petrović Maarten van Ham, and David Manley. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
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