ArticleJournal of transport & health2015
Are GIS-modelled routes a useful proxy for the actual routes followed by commuters?
Article in Journal of transport & health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Revealed Preference Methods for Studying Bicycle Route Choice-A Systematic Review.International journal of environmental research and public health · 2018Pooled it
- Assessing the accuracy of routing engines in replicating children's walking routes to school: a comparative study of google, mapbox, and OSRM.International journal of health geographics · 2026Article
- Defining household exposure to the food environment: A comparison of measures based on residential area and activity space.PloS one · 2025Article
- From motorised to active travel: using GPS data to explore potential physical activity gains among adolescents.BMC public health · 2022Article
- Effect of the Street Environment on Walking Behavior: A Case Study Using the Route Choice Model in the Chunliu Community of Dalian.Frontiers in public health · 2022Article
- Social Inclusion and Physical Activity in Ciclovía Recreativa Programs in Latin America.International journal of environmental research and public health · 2021Article
- Prediction of human active mobility in rural areas: development and validity tests of three different approaches.Journal of exposure science & environmental epidemiology · 2020Article
- GIS-modelled built-environment exposures reflecting daily mobility for applications in child health research.International journal of health geographics · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Active commuting offers the potential to increase physical activity among adults by being built into daily routines. Characteristics of the route to work may influence propensity to walk or cycle. Geographic information system (GIS) software is often used to explore this by modelling routes between home and work. However, if the validity of modelled routes depends on the mode of travel used, studies of environmental determinants of travel may be biased. We aimed to understand how well modelled routes reflect those actually taken, and what characteristics explain these differences. We compared modelled GIS shortest path routes with actual routes measured using QStarz BT-Q1000X Global Positioning System (GPS) devices in a free-living sample of adults working in Cambridge and using varying travel modes. Predictors of differences, according to length and percentage overlap, between the two route sets were assessed using multilevel regression models and concordance coefficients. The 276 trips, made by 51 participants, were on average 27% further than modelled routes, with an average geographical overlap of 39%. However, predictability of the route depended on travel mode. For route length, there was moderate-to-substantial agreement for journeys made on foot and by bicycle. Route overlap was lowest for trips made by car plus walk (22%). The magnitude of difference depended on other journey characteristics, including travelling via intermediate destinations, distance, and use of busy roads. In conclusion, GIS routes may be acceptable for distance estimation and to explore potential routes, particularly active commuting. However, GPS should be used to obtain accurate estimates of environmental contexts in which commuting behaviour actually occurs. Public health researchers should bear these considerations in mind when studying the geographical determinants and health implications of commuting behaviour, and when recommending policy changes to encourage active travel.
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