Evidence map›Paper›PMID 42157258›Full record

ArticleInternational journal of health geographics2026

Assessing the accuracy of routing engines in replicating children's walking routes to school: a comparative study of google, mapbox, and OSRM.

Hyesop Shin, Jonathan R Olsen, Paul Mccrorie, Fiona Caryl, Melody Smith, Rich Mitchell

Abstract readComparative Study
In one paragraph

Article in International journal of health geographics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hyesop ShinSchool of Environment, University of Auckland, Auckland, New Zealand. Hyesop.shin@auckland.ac.nz.
Jonathan R OlsenSchool of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Paul MccrorieSchool of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Fiona CarylSchool of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Melody SmithSchool of Nursing, University of Auckland, Auckland, New Zealand.
Rich MitchellSchool of Health and Wellbeing, University of Glasgow, Glasgow, UK.

Funding

Chief Scientist Office SPHSU19Medical Research Council MC_UU_00022/4
6 · The paper itself

Abstract

backgroundActive school travel (AST) can significantly increase children's physical activity. AST research often utilises global positioning system (GPS) devices to objectively track the routes children take to school. However, GPS-based studies are costly and often subject to recruitment bias which limits population representativeness. Routing engines, such as Google Maps, designed to help people navigate might be low-cost alternatives to the use of GPS if the engines were able to accurately model the routes children took in AST. To date, no studies have systematically evaluated whether routing engines can serve as a viable alternative for modelling children's walking routes to school. We assessed whether widely available routing engines can approximate children's walked routes, providing an internationally transferable, low-cost alternative.

methodsWe compared three routing engines: Google, Mapbox, and Open Source Routing Machine (OSRM), in replicating the GPS measured walking trajectories of 233 school children (age 10-11) across urban and rural Scotland. The percentage of overlap (overlap accuracy, OA), between routing engine predictions and actual GPS tracks was assessed.

resultsMean OA was 67.6% for OSRM, 66.8% for Mapbox, and 62.6% for Google, indicating that approximately two-thirds of each predicted route overlapped with the GPS-measured track. These values were substantially higher than a shortest-path baseline computed on the Ordnance Survey (OS) road network (45.0%). No significant differences in OA were found by sex, deprivation, or urban/rural setting. However, route distance was negatively associated with OA (r = - 0.16 to - 0.23, p < 0.05). At an individual level, one-third of participants showed consistent results across all engines, whilst 49.4% had one discordant engine and 17.2% had mutually inconsistent engines.

conclusionsContemporary routing engines reproduce roughly two-thirds of children's walked routes to school, without systematic differences by common sociodemographic or contextual factors. Overall, contemporary routing engines can complement GPS in children's mobility research and practice, offering an empirical reference point for future AST studies.

trial registrationNot applicable.

Indexed as

Geographic Information SystemsSchoolsSearch EngineWalkingChildFemaleHumansMaleScotlandActive school travel (AST)ChildrenGPSOverlapping accuracy (OA)Physical activityRouting engines

Identifiers

PMID42157258
PMCPMC13397760

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.