Multi-scale measures of population : within and between city variation in exposure to the socio-spatial context
MetadataShow full item record
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 Latest Articles . 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.
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.