Spatialising ‘carceral mobilities’: extracting census data for analysis of prisoner inflow, transfer and release

Abstract Responding to the dearth of fully-comprehensive or summary data on prisoner or ‘carceral mobilities’, this paper provides the first comprehensive case study analysis of the flow into, between and out from prisons. By uniquely extracting data from the 2011 UK Census to identify and visualise trends in movement, highlight centrality of institutions and observe the self-containedness of regions of operation, findings reveal specific volumes and geographies of prisoner flow as well as discrepancies with the expected practices of prison category transfers and disparities between the distances travelled by prisoners in establishments with different functions. Such analysis is a critical tool in appraising (in)efficiencies with the governance of prisons at the regional and national level. In conclusion, Census Data is revealed as a viable source of data for analysis in situations where institutional data is not forthcoming/available, which provides significant potential for the advancement of the range and scope of studies in carceral mobilities and criminological research more broadly.

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Publication Details

Journal
Journal of Computational Social Science
Published
2024-08-12
DOI
https://doi.org/10.1007/s42001-024-00318-y
Primary Topic
Criminal Justice and Corrections Analysis
Type
article
Field-Weighted Citation Impact
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article

Spatialising ‘carceral mobilities’: extracting census data for analysis of prisoner inflow, transfer and release

Gezhi Xiu, Jennifer Turner, Thilo Groß
Journal of Computational Social Science
Criminal Justice and Corrections Analysis
article

Spatialising ‘carceral mobilities’: extracting census data for analysis of prisoner inflow, transfer and release

Gezhi Xiu, Jennifer Turner, Thilo Groß
article en

Abstract

Abstract Responding to the dearth of fully-comprehensive or summary data on prisoner or ‘carceral mobilities’, this paper provides the first comprehensive case study analysis of the flow into, between and out from prisons. By uniquely extracting data from the 2011 UK Census to identify and visualise trends in movement, highlight centrality of institutions and observe the self-containedness of regions of operation, findings reveal specific volumes and geographies of prisoner flow as well as discrepancies with the expected practices of prison category transfers and disparities between the distances travelled by prisoners in establishments with different functions. Such analysis is a critical tool in appraising (in)efficiencies with the governance of prisons at the regional and national level. In conclusion, Census Data is revealed as a viable source of data for analysis in situations where institutional data is not forthcoming/available, which provides significant potential for the advancement of the range and scope of studies in carceral mobilities and criminological research more broadly.

Journal of Computational Social ScienceVol. 7(3)
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (DE), Carl von Ossietzky Universität Oldenburg (DE), Peking University (CN), Helmholtz Institute for Functional Marine Biodiversity (DE), NIHR Imperial Biomedical Research Centre (GB), Imperial College London (GB), Universität Trier (DE)
Peace, Justice and strong institutions
Openalex Percentile: Top 80%
Criminal Justice and Corrections Analysis
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Spatialising ‘carceral mobilities’: extracting census data for analysis of prisoner inflow, transfer and release — Gezhi Xiu, Jennifer Turner, et al. · Journal of Computational Social Science (2024) | TGRS Research Map | TGRS