Evidence map›Paper›PMID 39627372›Full record

ArticleScientific reports2024

An evolutionary game study of traffic safety risk regulation considering public participation behavior.

Zheng Liu, Na Huang, Bin Hu, Yuanjun Zhao, Il Sook Kown

Abstract 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. 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

5 authors.

Zheng LiuSchool of Management, Shanghai University of Engineering Science, Shanghai, 201620, China.
Na HuangSchool of Management, Shanghai University of Engineering Science, Shanghai, 201620, China. m330122501@sues.edu.cn.
Bin HuSchool of Management, Shanghai University of Engineering Science, Shanghai, 201620, China.
Yuanjun ZhaoSchool of Accounting, Nanjing Audit University, Nanjing, 211815, China.
Il Sook KownDepartment of Global Economics and Commerce, Hannam University, Deajeon, 34430, Korea.

Funding

National Social Science Fund of China 22BGL203
6 · The paper itself

Abstract

With the development of transportation technology, the improvement of transportation efficiency also increases the complexity and diversity of traffic safety risks; the public's concern for traffic safety risks is increasing, and the traditional regulatory model is difficult to meet the improvement of the effectiveness of the safety regulation of the huge transportation network and the public's changing safety needs. In order to enhance the effectiveness of safety regulation, a game model of safety risk regulation among the public, transport enterprises, and regulators is constructed to simulate the effects of different traffic risks, penalty levels, and exposure rates on the behavior of transport enterprises and regulators. The results of the study show that: traffic risk has a positive facilitating effect on the participation of transport enterprises and the public in the regulation of safety risks, which will accelerate the process of stabilization of their strategies; transport enterprises have a high sensitivity to changes in the level of punishment, and only when the level of punishment exceeds a certain threshold will they be able to promote the choice of complying with the transport; and a higher exposure will lead to a greater tendency for transport enterprises to choose complying with the transport.

Indexed as

Accidents, TrafficSafetyCommunity ParticipationGame TheoryHumansModels, TheoreticalTransportationEvolutionary gamingPublic participationSafety risk regulationTransportation risk

Identifiers

PMID39627372
PMCPMC11615289

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.