Evidence map›Paper›PMID 40240569›Full record

ArticleScientific reports2025

Assessing motorcyclist injury severity on curved road segments with temporal dynamics and unobserved heterogeneity.

Monire Jafari, Michael Starewich, Ahmed Hossain, Swastika Barua, Nawaf Alnawmasi, Xinyue Ye, Subasish Das

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

7 authors.

Monire JafariData Analytics and Information Systems, Texas State University, San Marcos, TX, 78666, USA.
Michael StarewichDepartment of Mathematics, Texas State University, San Marcos, TX, 78666, USA.
Ahmed HossainDepartment of Civil Engineering, Texas State University, San Marcos, TX, 78666, USA.
Swastika BaruaDepartment of Civil Engineering, Texas State University, San Marcos, TX, 78666, USA. qwx11@txstate.edu.
Nawaf AlnawmasiDepartment of Civil Engineering, University of Hail, 55473, Hail, Saudi Arabia.
Xinyue YeCollege of Architecture, Texas A&M University, College Station, TX, 77843, USA.
Subasish DasDepartment of Civil Engineering, Texas State University, San Marcos, TX, 78666, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motorcyclists face an increased risk of injury severity at curved roadway segments due to a wide range of factors. Given the complex and evolving nature of factors influencing motorcyclist injury severity on curved roadway segments, there is a need for research that not only captures these contributing factors dynamics but also considers temporal variations and unobserved heterogeneity. The study used mixed logit models to analyze 8815 motorcycle crashes that occurred on curved segments in Texas between 2017 and 2022. Several normally distributed random parameters were identified, including clear weather, fixed objects, a 40-60 mph speed limit, White ethnicity, and riders aged 25-54 years old. Average marginal effects indicated increased fatal injury likelihood during cloudy weather, on marked lanes, roads without median, and collisions with fixed objects. Consistent factors affecting fatal injury severity across yearly models included cloudy weather and fixed-object collisions (increasing), daylight (decreasing), and riders aged 15-24 (decreasing). Interestingly, darkness in 2020 showed reduced fatal injury likelihood, likely due to lower traffic volumes and increased rider caution during the COVID-19 pandemic, contributing to less severe crash outcomes. These findings emphasize the need to consider temporal variations to understand changing risk factors and dynamics in motorcycle injury severity on curved road segments.

Indexed as

Accidents, TrafficMotorcyclesWounds and InjuriesAdolescentAdultCOVID-19FemaleHumansMaleMiddle AgedRisk FactorsTexasWeatherYoung AdultCloudyCurved segmentsDarknessFixed objectMotorcycleTemporal variations

Identifiers

PMID40240569
PMCPMC12003669

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.