Mavrogeni, Mikaella;
van Dijk, Justin;
Longley, Paul;
(2025)
Understanding place-to-place interactions using flow patterns derived from in-app mobile phone location data.
The Geographical Journal
, Article e70033. 10.1111/geoj.70033.
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Abstract
Functional roles of neighbourhoods change throughout the day, as both a cause and consequence of human mobility fluctuations. Here we review how neighbourhoods can be characterised by origin–destination flows derived from individual level GPS-enabled in-app data. These are used to track individual trajectories from start to end points prior to aggregation. We leverage securely held individual level in-app mobile phone location data that preserve spatial and temporal flexibility in representing place-to-place interactions. The data are available at the individual level and are aggregated for reporting of origin–destination analysis at the Middle layer Super Output Area (MSOA) level to accommodate disclosure control and positional uncertainty. We show how in-app mobile phone location data for Greater London enhance our understanding of the relationships between places, and demonstrate how these relationships may change over the course of the day. Finally, we discuss how such analysis can inform transport policy and the contribution of our approach to extending geodemographic research.
| Type: | Article |
|---|---|
| Title: | Understanding place-to-place interactions using flow patterns derived from in-app mobile phone location data |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1111/geoj.70033 |
| Publisher version: | https://doi.org/10.1111/geoj.70033 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons 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: | Social Sciences, Geography, geodemographics, geo-temporal analytics, in-app location data, interactional geographies, mobility patterns, origin-destination analysis, DESTINATION, GEODEMOGRAPHICS, CITIES, TRIPS |
| 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.ucl.ac.uk/id/eprint/10212317 |
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