Evidence map›Paper›PMID 24832410›Full record

ArticleAmerican journal of public health2014

Examining the impact of the walking school bus with an agent-based model.

Yong Yang, Ana Diez-Roux, Kelly R Evenson, Natalie Colabianchi

Abstract read
In one paragraph

Article in American journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

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

  1. Pooled it
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  4. Uncovering physical activity trade-offs in transportation policy: A spatial agent-based model of Bogotá, Colombia.The international journal of behavioral nutrition and physical activity · 2024
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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.

Yong YangAt the time of this study, Yong Yang and Ana Diez-Roux were with the Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor. Kelly R. Evenson was with the Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill. Natalie Colabianchi was with the Institute for Social Research, University of Michigan, Ann Arbor.
Ana Diez-Roux
Kelly R Evenson
Natalie Colabianchi

Funding

Neighborhoods and CVD Risk in a Multiethnic Cohort (RMI)R01HL071759 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DIEZ ROUX, ANA VICTORIA, LISABETH, LYNDA D · 2003 to 2013
$4.8M
A Spatial Agent-Based Model of Walking Behavior in CitiesR21HL106467 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YANG, YONG · 2011 to 2012
$428k
NHLBI NIH HHS R01 HL071759NHLBI NIH HHS R01-HL071759NHLBI NIH HHS R21 HL106467NHLBI NIH HHS R21-HL106467NLM NIH HHS HHSN276200800013C
6 · The paper itself

Abstract

We used an agent-based model to examine the impact of the walking school bus (WSB) on children's active travel to school. We identified a synergistic effect of the WSB with other intervention components such as an educational campaign designed to improve attitudes toward active travel to school. Results suggest that to maximize active travel to school, children should arrive on time at "bus stops" to allow faster WSB walking speeds. We also illustrate how an agent-based model can be used to identify the location of routes maximizing the effects of the WSB on active travel. Agent-based models can be used to examine plausible effects of the WSB on active travel to school under various conditions and to identify ways of implementing the WSB that maximize its effectiveness.

Indexed as

AttitudePublic HealthSchoolsWalkingExerciseHealth BehaviorHealth EducationHealth PromotionHumansSafetyTime FactorsTransportation

Identifiers

PMID24832410
PMCPMC4056201

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.