Deriving Spatio-Temporal Geographies of Human Mobility from GPS traces

Calafiore, Alessia ORCID: 0000-0002-5953-2891, Murage, Nombuyisielo, Nasuto, Andrea and Rowe, Francisco ORCID: 0000-0003-4137-0246 (2021) Deriving Spatio-Temporal Geographies of Human Mobility from GPS traces. Spatial Data Science Symposium 2021 Short Paper Proceedings.

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Official URL: http://dx.doi.org/10.31219/osf.io/2p9vk

Abstract

<p>This paper leverages on the opportunities presented by individual level GPS data to study human mobility. It develops a methodology to understand the spatio-temporal properties of collective movements using network science. Through a spatially-weighted community detection approach, we derived functional neighbourhoods from human mobility patterns from GPS data and analyse the extent to which they vary across time. The results show that while the overall city structure remains stable, functional neighbourhoods tend to contract and expand over the course of the day. This work proposes a methodological framework and emphasises the importance of detecting short-term structural changes in cities based on human mobility.</p>

Item Type:	Article
Uncontrolled Keywords:	11 Sustainable Cities and Communities
Divisions:	Faculty of Science and Engineering > School of Environmental Sciences
Depositing User:	Symplectic Admin
Date Deposited:	17 Jan 2022 08:50
Last Modified:	15 Mar 2024 12:52
DOI:	10.31219/osf.io/2p9vk
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3146964