Evidence map›Paper›PMID 30073954›Full record

ArticleEnvironmental health perspectives2018

Correlates of the Built Environment and Active Travel: Evidence from 20 US Metropolitan Areas.

Huyen T K Le, Ralph Buehler, Steve Hankey

Abstract read
In one paragraph

Article in Environmental health perspectives, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
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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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Huyen T K LeSchool of Public and International Affairs, Virginia Tech, Blacksburg, Virginia, USA.
Ralph BuehlerSchool of Public and International Affairs, Virginia Tech, Alexandria, Virginia, USA.
Steve HankeySchool of Public and International Affairs, Virginia Tech, Blacksburg, Virginia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWalking and bicycling are health-promoting and environmentally friendly alternatives to the automobile. Previous studies that explore correlates of active travel and the built environment are for a single metropolitan statistical area (MSA) and results often vary among MSAs.

objectivesOur goal was to model the relationship between the built environment and active travel for 20 MSAs spanning the continental United States.

methodsWe sourced and processed pedestrian and bicycle traffic counts for 20 U.S. MSAs (

resultsBuilt environment features were significant predictors of active travel across all models. Areas with easy access to water and green space, high concentration of jobs, and high rates of active commuting were associated with higher bicycle and pedestrian volumes. Bicycle facilities (e.g., bike lanes, shared lane markings, off-street trails) were correlated with higher bicycle volumes. All models demonstrated reasonable goodness-of-fit for both bicyclists (adj-

conclusionsTo our knowledge, this is the first study to model multi-city trends in bicycling and walking traffic volumes with the goal of developing generalized estimates of the impact of the built environment on active travel. Our models could be used for exposure assessment (e.g., crashes, air pollution) to inform design of health-promoting cities. https://doi.org/10.1289/EHP3389.

Indexed as

BicyclingBuilt EnvironmentCitiesHumansTravelUnited StatesWalking

Identifiers

PMID30073954
PMCPMC6108845

What OpenQuestion holds

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Registered trials

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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.