Evidence map›Paper›PMID 33917131›Full record

ArticleInternational journal of environmental research and public health2021

Characteristics and Causes of Particularly Major Road Traffic Accidents Involving Commercial Vehicles in China.

Mingwei Yan, Wentao Chen, Jianhao Wang, Mengmeng Zhang, Liang Zhao

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Mingwei YanSchool of Transportation & Logistics Engineering, Shandong Jiaotong University, Jinan 250357, China.
Wentao ChenChina Occupational Safety and Health Association, Beijing 100011, China.
Jianhao WangSchool of Transportation & Logistics Engineering, Shandong Jiaotong University, Jinan 250357, China.ORCID 0000-0002-3842-9553
Mengmeng ZhangSchool of Transportation & Logistics Engineering, Shandong Jiaotong University, Jinan 250357, China.
Liang ZhaoSchool of Transportation & Logistics Engineering, Shandong Jiaotong University, Jinan 250357, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major accidents occurred frequently in the road transportation industry, and the resulting harm to drivers, property loss, and traffic interruption are very serious. This study investigated 11 particularly major accidents involving commercial vehicles in China, and performed analysis on accident characteristics regarding the time, location, types of vehicles, and accident causation at different levels based on the 24Model. Large buses and dangerous goods vehicles were involved in 10 accidents and they all occurred on a freeway. The months from May to August, especially during the time periods of 2:00-4:00 and 14:00-16:00 every day, were the most prone to accidents. The driver's speeding and fatigued driving, and vehicle failure were the direct causes of most of the accidents. The defects in organizational safety management involved 12 system elements, such as safety accountability, education and training, etc. Procedures are of no use if they were not followed, and there was often no effective process to assess the implementation of procedures in many organizations. The weaknesses in organizational safety culture were the source of accidents, which was mainly manifested in members' inadequate cognition of key elements in the aspects of safety importance, safety commitment, safety management system, etc. Understanding the characteristics and root causes of accidents can help to prevent the recurrence of similar mistakes and strengthen preventative measures in road transportation enterprises.

Indexed as

Accidents, TrafficAutomobile DrivingChinaMotor VehiclesTransportationaccident causationcommercial vehicleindividualorganizationroad traffic

Identifiers

PMID33917131
PMCPMC8067832

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.