van Dijk, Justin;
Todd, James;
Lan, Tian;
(2024)
Leveraging digital footprints data for accurate estimation of the residential housing stock in the United Kingdom, 1997–2022.
Annals of GIS
10.1080/19475683.2024.2360206.
(In press).
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Abstract
This paper explores the use of digital footprints data to improve on the limited information available on the size and distribution of the residential housing stock in the United Kingdom over the past two decades. We use a subset of a large dataset consisting of the names and addresses of more than one billion individuals dating back to 1997 (LCRs: Linked Consumer Registers) to calibrate property lifecycle information within an authoritative geolocated address and property dataset. We validate the results of our novel calibration method against official estimates by the UK government covering the same period. We further show that our calibration method, based on individual level data, captures a much larger share of the residential housing stock since 1997 than would have been possible with other available data sources. We argue that these housing stock estimates are fundamental to the development of a comprehensive digital footprints data infrastructure that has the potential to significantly enhance population, migration, and other social statistics in the UK. More generally, this study highlights the benefits of using digital footprints data in refining, calibrating, and extending existing datasets.
| Type: | Article |
|---|---|
| Title: | Leveraging digital footprints data for accurate estimation of the residential housing stock in the United Kingdom, 1997–2022 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1080/19475683.2024.2360206 |
| Publisher version: | http://dx.doi.org/10.1080/19475683.2024.2360206 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Digital footprints data; residential housing stock; address matching; uncertainty |
| UCL classification: | UCL 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-pp.ucl.ac.uk/id/eprint/10193193 |
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