Evidence map›Paper›PMID 38867994›Full record

ArticleHeliyon2024

Analysis of pedestrian accident severity by considering temporal instability and heterogeneity.

Pingfei Li, Chengyi Zhao, Min Li, Daowen Zhang, Qirui Luo, Chenglong Zhang, Wenhao Hu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 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
–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. 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

7 authors.

Pingfei LiSchool of Automobile and Transportation, Xihua University, Chengdu, 610039, China.
Chengyi ZhaoSchool of Automobile and Transportation, Xihua University, Chengdu, 610039, China.
Min LiSchool of Automobile and Transportation, Xihua University, Chengdu, 610039, China.
Daowen ZhangSchool of Automobile and Transportation, Xihua University, Chengdu, 610039, China.
Qirui LuoDongfang Electric Bulk Cargo Logistics Co., Ltd., Chengdu, 611731, China.
Chenglong ZhangSchool of Automobile and Transportation, Xihua University, Chengdu, 610039, China.
Wenhao HuSAMR Defective Product Recall Technical Center, Beijing, 100000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate the effects of temporal instability and possible heterogeneity on pedestrian accident severity, 48786 accident data from 2018 to 2021 in the UK STATS database were used as the study object, and accident severity was used as the dependent variable, and 49 accident characteristics were selected as independent variables from 6 characteristics of accident pedestrian, driver, vehicle, road, environment and time to construct the pedestrian accident mean heterogeneity random-parameter logit model and examined its temporal stability. The results of model estimation and likelihood ratio tests indicate that the variables affecting pedestrian injury severity are highly variable and not stable over the years. And further demonstrates the potential of models that address unobserved heterogeneity for significant relationships in pedestrian accident severity analyses.

Indexed as

HeterogeneityPedestrian traffic accidentsRandom-parameter logit modelTime instabilityTraffic safety

Identifiers

PMID38867994
PMCPMC11168312

What OpenQuestion holds

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LicenceCC BY-NC
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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.