Evidence map›Paper›PMID 26682132›Full record

ArticleJournal of transport & health2015

Are GIS-modelled routes a useful proxy for the actual routes followed by commuters?

Alice M Dalton, Andrew P Jones, Jenna Panter, David Ogilvie

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Revealed Preference Methods for Studying Bicycle Route Choice-A Systematic Review.International journal of environmental research and public health · 2018
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Social Inclusion and Physical Activity in Ciclovía Recreativa Programs in Latin America.International journal of environmental research and public health · 2021
    Article
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alice M DaltonNorwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK ; UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, Cambridge, UK.
Andrew P JonesNorwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK ; UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, Cambridge, UK.
Jenna PanterUKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, Cambridge, UK ; Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK.
David OgilvieUKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, Cambridge, UK ; Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK.

Funding

Department of Health 09/3001/06Department of Health PDF-2012-05-157Medical Research Council MC_UU_12015/6Medical Research Council MR/K023187/1Wellcome Trust
6 · The paper itself

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.

Indexed as

active travelcommute environmentgeographic information systemGlobal Positioning System

Identifiers

PMID26682132
PMCPMC4678602

What OpenQuestion holds

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Registered trials

None linked

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.