Evidence map›Paper›PMID 36767336›Full record

ArticleInternational journal of environmental research and public health2023

Examining the Nonlinear Effects of Residential and Workplace-built Environments on Active Travel in Short-Distance: A Random Forest Approach.

Liang Guo, Shuo Yang, Yuqing Peng, Man Yuan

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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.

Liang GuoSchool of Architecture & Urban Planning, Huazhong University of Science and Technology, Wuhan 430000, China.
Shuo YangSchool of Architecture & Urban Planning, Huazhong University of Science and Technology, Wuhan 430000, China.
Yuqing PengSchool of Architecture & Urban Planning, Huazhong University of Science and Technology, Wuhan 430000, China.
Man YuanSchool of Architecture & Urban Planning, Huazhong University of Science and Technology, Wuhan 430000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental pollution and health problems caused by the excessive use of motor vehicles have received widespread attention from all over the world. Currently, research lacks attention to the nonlinear effects of the built environment on short-distance active travel choices. It is important to understand these non-linear correlations, because it would be more feasible and necessary to promote a shift from car users to walking and cycling mode choices over short commuting distances. A random forest model was used to analyze the nonlinear effects of residents' social characteristics and the built environment of their homes and workplaces on their choice of walking and cycling. The results show that the built environment has a greater impact on short-distance active travel than the socio-demographics attributes. Residential and workplace-built environments have equal importance and they have significant non-linear effects on both short-distance walking and cycling. The nonlinear effects of the built environment on walking and cycling differed significantly, and the study specifically revealed these effects.

Indexed as

Random ForestTravelBicyclingBuilt EnvironmentCross-Sectional StudiesEnvironment DesignResidence CharacteristicsTransportationWalkingWorkplacenonlinear effectsrandom forest approachshort-distance commutingtravel mode choices

Identifiers

PMID36767336
PMCPMC9916244

What OpenQuestion holds

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LicenceCC BY
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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.