Assessing the Accuracy of Pathfinding Algorithms for Scottish Children's Home-to-School Commutes: A Comparison with GPS Trajectories

Shin, H. and Mitchell, R. (2023) Assessing the Accuracy of Pathfinding Algorithms for Scottish Children's Home-to-School Commutes: A Comparison with GPS Trajectories. Disruptive Movement Analysis (DMA’23), Leeds, UK, 12 Sept 2023. (doi: 10.5281/zenodo.8359265) (Unpublished)

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Abstract

Walking to and from school has significant implications for children's physical and mental well-being. This study aims to investigate the accuracy of routing engines (Google Maps, Mapbox, and OSRM) in replicating GPS trajectories and explore potential associations with gender and socioeconomic status. The study analysed GPS data from 227 children aged 10-11 years old in Scotland. The results indicated that OSRM exhibited the highest accuracy with a mean GPS track overlap of 56%. However, no substantial differences were found between the routing engines. Additionally, the accuracy of the engines did not vary based on gender or socioeconomic status. These findings provide reassurance that potential biases do not arise when using these navigation tools, as their accuracy remains consistent across different demographic groups.

Item Type:Conference or Workshop Item
Status:Unpublished
Refereed:Yes
Glasgow Author(s) Enlighten ID:Mitchell, Professor Rich and Shin, Mr Hyesop
Authors: Shin, H., and Mitchell, R.
Subjects:G Geography. Anthropology. Recreation > G Geography (General)
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
College/School:College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > MRC/CSO SPHSU
Copyright Holders:Copyright © 2023 The Authors
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3048230041Places and healthRich MitchellMedical Research Council (MRC)MC_UU_00022/4HW - MRC/CSO Social and Public Health Sciences Unit