Evidence map›Paper›PMID 41129554›Full record

ArticlePloS one2025

Effect of COVID-19 restrictions and fuel prices on traffic volume and offenses in Iran: A spatiotemporal analysis.

Milad Delavary, Amir Hossein Kalantari, Hossein Farsangi, Abolfazl Mohammadzadeh Moghaddam, Ali Hadianfar, Ward Vanlaar, Martin Lavallière

Abstract read
In one paragraph

Article in PloS one, 2025. 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
–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

0 citing papers in PubMed.

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

7 authors.

Milad DelavaryDepartment of Health Sciences, Laboratoire BioNR and Centre intersectoriel en santé durable (CISD), Université du Québec à Chicoutimi, Chicoutimi, Québec, Canada.
Amir Hossein KalantariSafety and Security Science Section, Department of Values, Technology and Innovation, Faculty of Technology, Policy and Management, Delft University of Technology, Delft, Netherlands.
Hossein FarsangiDepartment of Civil Engineering, Sharif University of Technology, Tehran, Iran.
Abolfazl Mohammadzadeh MoghaddamDepartment of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Razavi Khorasan, Iran.ORCID https://orcid.org/0000-0001-6211-3738
Ali HadianfarNoncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Ward VanlaarTraffic Injury Research Foundation, Ottawa, Ontario, Canada.
Martin LavallièreDepartment of Health Sciences, Laboratoire BioNR and Centre intersectoriel en santé durable (CISD), Université du Québec à Chicoutimi, Chicoutimi, Québec, Canada.ORCID https://orcid.org/0000-0003-0247-0308

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the outbreak of the COVID-19 pandemic and the subsequent imposition of mobility restrictions in many nations, traffic volumes and driving behaviors have changed worldwide. This study aims to investigate the effect of COVID-19 restrictions and fuel prices on traffic volume and offenses (speeding, tailgating, and illegal overtaking) in Iran's provincial and aggregated data in the study period of March 21, 2019, to May 20, 2020. A time-series analysis was conducted to capture the effects of interventions in level and trend, followed by a spatial autocorrelation of the interventions among provinces to identify the provinces that formed clusters in terms of traffic volume and offenses before and after each intervention. Most of the COVID-19 restrictions (and the pandemic itself) did not reduce traffic volume and rate of traffic offenses whereas an increase in fuel prices decreased traffic volume and offenses (except for illegal overtaking). Furthermore, traffic volume showed an increasing trend after the imposition of mobility restrictions, suggesting that preventive measures could not control intercity trips during the pandemic. Spatiotemporal analysis showed mobility restrictions effectively removed some provinces from the clusters with above-average volume, tailgating, and overtaking data. The possible reasons for these findings and potential solutions are discussed.

Indexed as

Automobile DrivingCOVID-19CommerceHumansIranPandemicsSARS-CoV-2Spatio-Temporal Analysis

Identifiers

PMID41129554
PMCPMC12548865

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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.