Evidence map›Paper›PMID 36922522›Full record

ArticleScientific reports2023

Rethinking infrastructure design: evaluating pedestrians and VRUs' psychophysiological and behavioral responses to different roadway designs.

Xiang Guo, Austin Angulo, Arash Tavakoli, Erin Robartes, T Donna Chen, Arsalan Heydarian

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Article in Scientific reports, 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. Review
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.

Xiang GuoDepartment of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, 22904, USA.
Austin AnguloDepartment of Civil, Structural and Environmental Engineering, University at Buffalo, State University of New York, Buffalo, NY, 14260, USA.
Arash TavakoliDepartment of Civil and Environmental Engineering, Stanford University, Stanford, CA, 94305, USA.
Erin RobartesDepartment of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, 22904, USA.
T Donna ChenDepartment of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, 22904, USA.
Arsalan HeydarianDepartment of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, 22904, USA. ah6rx@virginia.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of human-centric approaches has gained more attention recently due to more automated systems being introduced into our built environments (buildings, roads, vehicles, etc.), which requires a correct understanding of how humans perceive such systems and respond to them. This paper introduces an Immersive Virtual Environment-based method to evaluate the infrastructure design with psycho-physiological and behavioral responses from the vulnerable road users, especially for pedestrians. A case study of pedestrian mid-block crossings with three crossing infrastructure designs (painted crosswalk, crosswalk with flashing beacons, and a smartphone app for connected vehicles) are tested. Results from 51 participants indicate there are differences between the subjective and objective measurement. A higher subjective safety rating is reported for the flashing beacon design, while the psychophysiological and behavioral data indicate that the flashing beacon and smartphone app are similar in terms of crossing behaviors, eye tracking measurements, and heart rate. In addition, the smartphone app scenario appears to have a lower stress level as indicated by eye tracking data, although many participants do not have prior experience with it. Suggestions are made for the implementation of new technologies, which can increase public acceptance of new technologies and pedestrian safety in the future.

Indexed as

PedestriansBuilt EnvironmentHumansPsychophysiologyRiskSafetyWalking

Identifiers

PMID36922522
PMCPMC10017812

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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.