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dc.contributor.authorZwiers, Merle
dc.contributor.authorKleinhans, Reinout
dc.contributor.authorVan Ham, Maarten
dc.date.accessioned2016-06-07T09:30:07Z
dc.date.available2016-06-07T09:30:07Z
dc.date.issued2017-09
dc.identifier.citationZwiers , M , Kleinhans , R & Van Ham , M 2017 , ' The path-dependency of low-income neighbourhood trajectories : an approach for analysing neighbourhood change ' , Applied Spatial Analysis and Policy , vol. 10 , no. 3 , pp. 363-380 . https://doi.org/10.1007/s12061-016-9189-zen
dc.identifier.issn1874-4621
dc.identifier.otherPURE: 243264969
dc.identifier.otherPURE UUID: 8f4fcb1f-09a7-437c-96c1-b8da0dfc0d28
dc.identifier.otherRIS: Zwiers2016
dc.identifier.otherScopus: 84969922387
dc.identifier.otherWOS: 000407365300003
dc.identifier.otherORCID: /0000-0002-2106-0702/work/64697549
dc.identifier.urihttps://hdl.handle.net/10023/8944
dc.descriptionThe research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP/2007-2013) / ERC Grant Agreement n. 615159 (ERC Consolidator Grant DEPRIVEDHOODS, Socio-spatial inequality, deprived neighbourhoods, and neighbourhood effects) and from the Marie Curie program under the European Union’s Seventh Framework Program (FP/2007-2013) / Career Integration Grant n. PCIG10-GA-2011-303728 (CIG Grant NBHCHOICE, Neighbourhood choice, neighbourhood sorting, and neighbourhood effects).en
dc.description.abstractThe gap between wealthy and disadvantaged neighbourhoods seems to be increasing in many contemporary Western cities. Most studies of neighbourhood change focus on specific case-studies of neighbourhood downgrading or gentrification. Studies investigating socio-spatial polarisation in larger urban areas often compare neighbourhoods at two points in time, neglecting the underlying dynamic character of neighbourhoods. In the current literature, the question if neighbourhoods with similar characteristics experience similar changes over time remains unanswered. As a result, it is unclear why some neighbourhoods appear to be more prone to change than others. In this paper, we propose a dual approach for analysing neighbourhood change. We argue that researchers should both adopt a long-term perspective (20–40 years), because significant changes are only visible after longer periods of time, and focus on more detailed neighbourhood trajectories to understand how neighbourhood change is interrelated with context. Focussing on Dutch neighbourhoods over the period 1971–2013, we analyse the role of physical characteristics on low-income neighbourhood trajectories using an innovative visualisation technique. A tree-structured discrepancy analysis allows for the visualisation of complete neighbourhood pathways, enabling the analysis of complex, contextualised patterns of change. We find that the original quality of neighbourhoods and dwellings seems to be an important predictor for future neighbourhood trajectories, indicating a high level of path-dependency.
dc.format.extent18
dc.language.isoeng
dc.relation.ispartofApplied Spatial Analysis and Policyen
dc.rights© The Author(s) 2016. This is an Open Access article, which is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.en
dc.subjectNeighbourhood changeen
dc.subjectSpatial patternsen
dc.subjectLongitudinalen
dc.subjectSequence analysisen
dc.subjectTree-structured discrepancy analysisen
dc.subjectGE Environmental Sciencesen
dc.subjectGF Human ecology. Anthropogeographyen
dc.subjectNDASen
dc.subjectSDG 11 - Sustainable Cities and Communitiesen
dc.subject.lccGEen
dc.subject.lccGFen
dc.titleThe path-dependency of low-income neighbourhood trajectories : an approach for analysing neighbourhood changeen
dc.typeJournal articleen
dc.contributor.sponsorEuropean Research Councilen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. Geography & Sustainable Developmenten
dc.identifier.doihttps://doi.org/10.1007/s12061-016-9189-z
dc.description.statusPeer revieweden
dc.identifier.grantnumberERC-2013-CoGen


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