Karikari, E., Prédhumeau, M., Baudains, P. et al. (1 more author) (2023) National-Scale Spatiotemporal Variation in Driver Navigation Behaviour and Route Choice (Short Paper). In: Proceedings of 12th International Conference on Geographic Information Science (GIScience 2023). 12th International Conference on Geographic Information Science (GIScience 2023), 12-15 Sep 2023, Leeds, UK. Leibniz International Proceedings in Informatics (LIPIcs), 277 . Schloss Dagstuhl – Leibniz-Zentrum für Informatik , 45:1-45:6. ISBN 978-3-95977-288-4
Abstract
Understanding human behaviour is an integral task in GIScience, facilitated by increasingly large and descriptive datasets on human activity. Large-scale trajectory data have been particularly useful in measuring behaviours in different contexts, and understanding the relationship between the built environment and people. Yet, to date, most of these studies have focused on urban or regional scale analyses, with less exploration of behavioural variation at larger spatial scales. Human navigation behaviour is inherently linked to variation in spatial structure, and a study of national variations could help to better understand this variability. In this paper, we analyse GPS data from over 1 million journeys by 50,000 connected cars across the UK. Some key statistics relating to route choice are computed, and their variations are explored over time and space. A k-mean clustering of the trips identifies different types of trips and shows that their distribution varies by time of day and across the country. The insights gained from the data highlight spatio-temporal variations in road navigation, which should be considered in transportation modelling and planning.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Elliot Karikari, Manon Prédhumeau, Peter Baudains, and Ed Manley. This is an open access conference paper under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Connected Car, Geospatial big Data, Navigation Behaviour, Cluster Analysis |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 29 Apr 2024 10:21 |
Last Modified: | 29 Apr 2024 10:21 |
Status: | Published |
Publisher: | Schloss Dagstuhl – Leibniz-Zentrum für Informatik |
Series Name: | Leibniz International Proceedings in Informatics (LIPIcs) |
Identification Number: | 10.4230/LIPIcs.GIScience.2023.45 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:211984 |