Evidence map›Paper›PMID 35617465›Full record

Observational studyTraffic injury prevention2022

Distracted pedestrian behavior: An observational study of risk by situational environments.

David C Schwebel, Margaret F Canter, Ragib Hasan, Russell Griffin, Taylor R White, Anna Johnston

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Traffic injury prevention, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
2.5field-weighted citation impact, top 12% of its field
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

0 citing papers in PubMed, 20 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

David C SchwebelDepartment of Psychology, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0002-2141-8970
Margaret F CanterDepartment of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama.
Ragib HasanDepartment of Computer Science, University of Alabama at Birmingham, Birmingham, Alabama.
Russell GriffinDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama.
Taylor R WhiteDepartment of Psychology, University of Alabama at Birmingham, Birmingham, Alabama.
Anna JohnstonDepartment of Psychology, University of Alabama at Birmingham, Birmingham, Alabama.
University of Alabama at Birmingham · US

Funding

Using Bluetooth Beacon Technology to Reduce Distracted Pedestrian BehaviorR21HD095270 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI HASAN, RAGIB, SCHWEBEL, DAVID C · 2018 to 2019
$391k
NICHD NIH HHS R21 HD095270
6 · The paper itself

Abstract

objectivePedestrian-related death rates are increasing in the United States, partly due to increased use of distracting smartphones by pedestrians. Previous research documents high frequency of smartphone use while crossing streets near college campuses and in downtown business districts, but little is known about distracted pedestrian behavior in other urban environments. The current study used observational methods to examine and compare distracted pedestrian behavior in four urban areas - near an urban college campus, in a downtown commercial business district, near middle and high schools, and in entertainment districts - as well as examining whether the occurrence of distraction was associated with unsafe crossing behaviors.

methodsWe observed 112 intersections in 46 downtown, 30 school, 25 entertainment district, and 11 college campus-area intersections. Coders recorded distraction, crossing safety, pedestrian demographics, and traffic volume. Chi-square tests compared pedestrian characteristics by intersection type. Log binomial regressions estimated risk ratios (RRs) and associated 95% confidence intervals (CIs) for associations between pedestrians walking alone and traffic volume with distracted crossing behavior, adjusting for age and gender. Similar models examined risk of unsafe crossing behavior by distraction behavior. All models were stratified by intersection type.

resultsDistraction incidence was highest in campus locations (52.9%) and lowest in entertainment districts (16.2%). Walking alone was associated with a 45% higher risk of distraction (RR 1.45, 95% CI 1.30-1.62), although the increased association was limited to entertainment locations (RR 1.61, 95% CI 1.25-2.08) and was significantly decreased in all other locations. Higher traffic volume was associated with lower risk of distraction in downtown locations (RR 0.69, 95% CI 0.56-0.85) but higher distraction risk in entertainment locations (RR 1.71, 95% CI 1.27-2.31). Associations between distraction and unsafe crossing behaviors were minimal.

conclusionDistracted pedestrian behavior occurs at different rates and in different circumstances, depending on the setting. These results offer valuable data to inform intervention programs that target appropriate populations in appropriate locations.

Indexed as

PedestriansAccidents, TrafficHumansRisk-TakingSafetyWalkingDistracted pedestrian behaviorobservational researchroad traffic injurytraffic safetyurban environments

Identifiers

PMID35617465
PMCPMC10413048
OpenAlexW4281550720

What OpenQuestion holds

Textmetadata
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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.