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Estimating the Prevalence of Shared Accommodation across the UK from Big Data

Samuel, A; Lansley, G; Coulter, R; (2019) Estimating the Prevalence of Shared Accommodation across the UK from Big Data. In: Proceedings of the 27th GIS Research UK (GISRUK) Conference. GIS Research UK (GISRUK): Newcastle, UK. Green open access

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Abstract

This paper introduces a new means of measuring the proportion of shared accommodation within UK neighbourhoods using linked administrative and consumer data. An address-level multi-person household indicator (MHI) was produced for individual years spanning 1997 to 2016. Crucially, this new indicator enables fine-grained spatial analysis of trends in house-sharing outside of decennial census years. This abstract discusses the purpose and derivation methodology of the MHI, before illustrating how it can be used and outlining some future research and policy applications.

Type: Proceedings paper
Title: Estimating the Prevalence of Shared Accommodation across the UK from Big Data
Event: Geographic Information Science Research UK
Location: Newcastle
Dates: 23 April 2019 - 26 April 2019
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.newcastle.gisruk.org/proceedings/
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography
URI: https://discovery.ucl.ac.uk/id/eprint/10075520
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