Evidence map›Paper›PMID 39623148›Full record

ArticleScientific reports2024

A study of motorcycle riders related to speeding behavior in Thailand's Industrial zones.

Manlika Seefong, Panuwat Wisutwattanasak, Chamroeun Se, Kestsirin Theerathitichaipa, Sajjakaj Jomnonkwao, Thanapong Champahom, Vatanavongs Ratanavaraha, Rattanaporn Kasemsri

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. 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

8 authors.

Manlika SeefongSchool of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Panuwat WisutwattanasakInstitute of Research and Development, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Chamroeun SeInstitute of Research and Development, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Kestsirin TheerathitichaipaSchool of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Sajjakaj JomnonkwaoSchool of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Thanapong ChampahomDepartment of Management, Faculty of Business Administration, Rajamangala University of Technology Isan, Nakhon Ratchasima, 30000, Thailand.
Vatanavongs RatanavarahaSchool of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Rattanaporn KasemsriSchool of Civil Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand. kasemsri@sut.ac.th.

Funding

This work was supported by (i) Suranaree University of Technology (SUT) (ii) Thailand Science Research and Innovation (TSRI), and (iii) National Science, Research and Innovation Fund (NRSF) 195628
6 · The paper itself

Abstract

Despite the considerable efforts to address traffic crashes, overspeeding in industrial zones remains a primary cause in Thailand. In order to effectively against this challenge (overspeeding), the deep-rooted factors influencing speeding behaviors, particularly drivers' risky behaviors, must be understood. Thus, this study employs the theory of planned behavior (TPB) and the framework comprising three basic Es (Education, Engineering, and Enforcement) and additional Es (Emergency response), i.e., the 3Es + Es framework, to examine these deep-rooted factors while considering the riders' sociodemographic data. Additionally, we performed structural equation modeling to investigate the factors influencing speeding behaviors, with key findings revealing that Engineering factors significantly account for overspeeding. Conversely, we revealed that attitude, subjective norm, and perceived behavioral control (which are essential TPB components) significantly influence riders' intentions to exhibit safe behavior, resulting in reduced speeding. Additionally, our examination of latent factors based on riders' sociodemographic data revealed that age, marital status, income, riding experience, crash history, and traffic tickets are significant factors that determine speeding habits. Specifically, we observed that single riders and those with less than five years of riding experience were less likely to exhibit safe riding behaviors. Overall, our findings would benefit Thailand's road-safety authorities, as we specifically proposed appropriate policies and empirical guidelines for Thailand's industrial zones, which are prone to high crash rates. This could effectively reduce speeding among motorcycle riders and mitigate traffic crashes.

Indexed as

Accidents, TrafficMotorcyclesRisk-TakingAdultAutomobile DrivingFemaleHumansMaleMiddle AgedThailandYoung Adult3Es + EsMotorcycle riderSpeeding behaviorStructural equation modelingTheory of planned behavior

Identifiers

PMID39623148
PMCPMC11612300

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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.