Evidence map›Paper›PMID 38253631›Full record

ArticleScientific reports2024

Drivers' behavior confronting fixed and point-to-point speed enforcement camera: agent-based simulation and translation to crash relative risk change.

Seyed Amir Ahmad Safavi-Naini, Shayan Sobhani, Mohammad-Reza Malekpour, Kavi Bhalla, Saeid Shahraz, Rosa Haghshenas, Seyyed-Hadi Ghamari, Mohsen Abbasi-Kangevari, Nazila Rezaei, Seyed Taghi Heydari and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. 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
0.7field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

13 authors at 5 institutions in 2 countries.

Seyed Amir Ahmad Safavi-Naini *Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-9295-9283
Shayan Sobhani *Independent Researcher, Waterloo, Ontario, Canada.ORCID https://orcid.org/0000-0001-6922-377X
Mohammad-Reza Malekpour *Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-8648-5402
Kavi BhallaPublic Health Sciences, University of Chicago, Chicago, IL, USA.
Saeid ShahrazInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
Rosa HaghshenasNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Seyyed-Hadi GhamariNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mohsen Abbasi-KangevariNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Nazila RezaeiNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Seyed Taghi HeydariHealth Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID https://orcid.org/0000-0001-7711-1137
Negar RezaeiNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran. n.rezaei81@yahoo.com.ORCID https://orcid.org/0000-0001-7047-7638
Kamran B LankaraniHealth Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID https://orcid.org/0000-0002-7524-9017
Farshad FarzadfarNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-8288-4046
Tehran University of Medical Sciences · IRShiraz University of Medical Sciences · IRChicago Department of Public Health · USShahid Beheshti University of Medical Sciences · IRTufts Medical Center · US

Funding

National Institute of Medical Research Development (NIMAD) 983353
6 · The paper itself

Abstract

Utilizing a novel microsimulation approach, this study evaluates the impact of fixed and average point-to-point Speed Enforcement Cameras (SEC) on driving safety. Using the SUMO software, agent-based models for a 6-km highway without exits or obstacles were created. Telematics data from 93,160 trips were used to determine the desired free-flow speed. A total of 13,860 scenarios were simulated with 30 random seeds. The ratio of unsafe driving (RUD) is the spatial division of the total distance travelled at an unsafe speed by the total travel distance. The study compared different SEC implementations under different road traffic and community behaviours using the Power Model and calculated crash risk changes. Results showed that adding one or two fixed SECs reduced RUD by 0.20% (0.18-0.23) and 0.57% (0.54-0.59), respectively. However, average SECs significantly lowered RUD by 10.97% (10.95-10.99). Furthermore, a 1% increase in telematics enforcement decreased RUD by 0.22% (0.21-0.22). Point-to-point cameras effectively reduced crash risk in all implementation scenarios, with reductions ranging from - 3.44 to - 11.27%, pointing to their superiority as speed enforcement across various scenarios. Our cost-conscious and replicable approach can provide interim assessments of SEC effectiveness, even in low-income countries.

Identifiers

PMID38253631
PMCPMC10803355
OpenAlexW4391107955

What OpenQuestion holds

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LicenceCC BY
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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.