Work

The Geodemographic Classification of Interactivity for Greater London

Year: 2025

Type: conference-paper

Abstract: Geodemographic classifications have been traditionally used to characterise individuals based on where they live or work. As a further contribution to understanding how social systems function, their scope is extensible to incorporating human interactivity, that is the generalised activity patterns of the population beyond night-time residence or workplace. This is enabled by dynamic sources of data such as GPS in-app mobile phone location data, creating the possibility of incorporating such data and gaining a more holistic understanding of the day-to-day activities and interactions of individuals. This paper therefore develops the geodemographic classification of interactivity for Greater London, using a combination of data sources, including census 2021 data and GPS in-app mobile phone location data.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15230037

Authors: Mavrogeni, Mikaella, Longley, Paul, van Dijk, Justin

Institution: University College London

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: green

OpenAlex ID: W6949937814

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