Change in helmet use behavior enforced by CCTV cameras with automatic helmet use detection system on an urban arterial road

Satiennam, Thaned; Kumphong, Jetsada; Satiennam, Wichuda; Klungboonkrong, Pongrid; Jaensirisak, Sittha; Ratanavaraha, Vatanavongs

doi:10.1080/15389588.2020.1778170

Cited by 20 publications

(19 citation statements)

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“…Lastly, checkpoints inspecting for alcohol use and seat belt use should likewise be reinforced. Recommendation of using safety equipment has been mentioned in terms of drivers' attitudes [73][74][75] and in terms of law enforcement by using CCTV for detection [76,77].…”

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confidence: 99%

Analysis of Crash Frequency and Crash Severity in Thailand: Hierarchical Structure Models Approach

et al. 2021

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Currently, research on the development of crash models in terms of crash frequency on road segments and crash severity applies the principles of spatial analysis and heterogeneity due to the methods’ suitability compared with traditional models. This study focuses on crash severity and frequency in Thailand. Moreover, this study aims to understand crash frequency and fatality. The result of the intra-class correlation coefficient found that the spatial approach should analyze the data. The crash frequency model’s best fit is a spatial zero-inflated negative binomial model (SZINB). The results of the random parameters of SZINB are insignificant, except for the intercept. The crash frequency model’s significant variables include the length of the segment and average annual traffic volume for the fixed parameters. Conversely, the study finds that the best fit model of crash severity is a logistic regression with spatial correlations. The variances of random effect are significant such as the intersection, sideswipe crash, and head-on crash. Meanwhile, the fixed-effect variables significant to fatality risk include motorcycles, gender, non-use of safety equipment, and nighttime collision. The paper proposes a policy applicable to agencies responsible for driver training, law enforcement, and those involved in crash-reduction campaigns.

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Analysis of Crash Frequency and Crash Severity in Thailand: Hierarchical Structure Models Approach

et al. 2021

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“…One possible solution is to carry out the test using a closed-circuit television (CCTV) camera system for monitoring the driver from a remote safe distance. Approved CCTV technology can be effective in road safety applications as well as in training and licensing drivers (Satiennam et al, 2020).…”

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2022

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“…When this system was implemented as a pre-and post-study, the authors found helmet usage increased from 77.2% to 82.4% in adults and 28.5% to 41.5% in children. This represents an increase of 5.2% and 13.0% in adults and children, respectively (Satiennam et al, 2020).…”

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confidence: 91%

Automated detection of motorcycle helmet use

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Singh

et al. 2022

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Road traffic collisions are among the top ten causes of death worldwide with more than 1.3 million deaths annually (WHO, 2018). Riders of motorised two- and three-wheelers are more vulnerable to injury and death and make up 28% of global road traffic deaths. In some regions, such as South-East Asia, this number is as high as 43% (WHO, 2018). Correct helmet use reduces the risk of death by 42% and the risk of head injuries by 62% (Liu, Ivers, Blows, Lo, & Norton, 2008). Increasing motorcycle helmet usage to close to 100% by 2030 has been identified as one of the twelve road safety targets by the Global Road Safety Partnership (WHO, 2018). Despite the clear benefits of wearing a helmet, increasing helmet use is challenging especially in low- and middle-income countries (LMICs). A large-scale helmet use media campaign in Thailand over five years showed no benefit (Patummasut, Phewchean, & Sirirattanapa, 2019). While legislating helmet use has shown a clear benefit, there is a disparity between the legislative benefit in high-income countries (HICs) compared to LMICs, with LMICs showing lower use of helmets and less reduction in brain injuries (Lepard, Spagiari, & Park, 2021).

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Change in helmet use behavior enforced by CCTV cameras with automatic helmet use detection system on an urban arterial road

Cited by 20 publications

References 19 publications

Analysis of Crash Frequency and Crash Severity in Thailand: Hierarchical Structure Models Approach

Analysis of Crash Frequency and Crash Severity in Thailand: Hierarchical Structure Models Approach

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Automated detection of motorcycle helmet use

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