Evaluation of penalty and enforcement strategies to combat speeding offences among professional drivers: A Hong Kong stated preference experiment

Chen, Tiantian; Sze, N.N.; Saxena, Shobhit; Pinjari, Abdul Rawoof; Bhat, Chandra R.; Bai, Lu

doi:10.1016/j.aap.2019.105366

Cited by 48 publications

(24 citation statements)

References 57 publications

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“…This contradicts the finding in Chen et al. (2020) that material loss was less effective than imposing driving offence points. However, we did not include driving offence points in this investigation since such an offence point system has not been implemented in Indonesia.…”

Section: Discussioncontrasting

confidence: 83%

“…Drivers mostly are not aware of the details of sanctions for traffic rule violation and indicate that their compliance will depend upon the severity of sanctions (Truelove et al., 2017). In addition, monetary fines were less powerful as a sanction than penalty points on the driver's licence (Chen et al., 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Also, drivers driving in areas with several regions perceived that their probability of being caught was low (Bates et al., 2020). Correspondingly, driving experience and history influenced compliance with speed limits (Chen et al., 2020). Again, more thorough analysis on the demographic factors and the perceived sanction mechanisms, particularly on Indonesian highways, is important to provide more straightforward implications in the local context.…”

Section: Literature Reviewmentioning

confidence: 99%

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Examining drivers’ socio-demographic variables and perceptions towards sanction mechanisms on speeding behaviour on highways: targeting appropriate prevention

et al. 2021

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Investigating the underlying predictors of speeding behaviour deserves the full attention of research. This study aims to examine the effects of demographic variables on the perceived deterrent mechanisms and to predict speeding behaviour to target appropriate prevention programmes. In this study, 212 randomly selected drivers having a valid car driving licence participated in an online survey. The results revealed that demographic variables influenced drivers’ perceptions towards social and legal sanctions as well as material loss. The model revealed that two sanction-related constructs, that is, legal sanction (b = −0⋅227, P = 0⋅007) and material loss (b = −0⋅218, P = 0⋅005), as well as lax perception towards traffic accident (b = −0⋅176, P = 0⋅025), were the significant predictors of speeding behaviour. These findings suggested that prevention programmes should prioritise young and single drivers. The most effective targeted prevention programmes are highlighted accordingly based on the study results.

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Section: Discussioncontrasting

confidence: 83%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Examining drivers’ socio-demographic variables and perceptions towards sanction mechanisms on speeding behaviour on highways: targeting appropriate prevention

et al. 2021

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“…Based on the analyses, a clear coherence was found between pro-health activities and the criteria of health one recognises. Impulse control and decision-making skills are associated with the development of planning abilities and the formation of critical judgement [46,47]. These two elements are probably conducive to the processes of social and emotional maturation, significantly contributing to the decline in the tendency to engage in risky behaviours.…”

Section: Discussionmentioning

confidence: 99%

Processes of a Transformation of Young Drivers’ Responsibility for Health—Carpe Diem

Kulik

Kajka

Dacka

2021

IJERPH

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Research most often deals with the relationship between risky behaviour on the road and other aspects of young adults’ lifestyle. It is rare that the sense of responsibility for one’s own life and health and for that of other people on the road is understood, due to the limitation of perceptual data. In this study, we researched 198 young adults (M = 19.75; SD = 1.11) using the Multidimensional Health Locus of Control, the Inventory of Health Behaviours, the Criteria of Health List and a student health survey. The chance of risky driving will increase by 50.7% among young adults as their understanding of health as a state increases. On the other hand, when young people feel that others are responsible for their lives, the likelihood of risky driving will drop by 6.4%. The hedonistic life orientation of a young adult had a significant impact on the results obtained which was connected with their understanding of health.

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“…There are different speed camera programs in different countries, for example in Iran, the number of speed cameras on rural roads improves the safety of the roads. (14,15) While speed cameras record many frames at a time interval of data subjects and use big data and AI for automatic decision making (16), their privacy and GDPR is under discussion. (17) The functional data analysis is a field in statistics which deals with high dimensional data with underlying function, for example, we can consider the speed camera hourly records as a function.…”

Section: Introductionmentioning

confidence: 99%

The Data-Driven Pattern for Healthy Behaviors of Car Drivers Based on Daily Records of Traffic Count Data From 2018 to 2019 Near Airports: A Functional Data Analysis

Fayaz¹,

Khodakarim²,

Hoseini³

et al. 2020

JPJB

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The road traffic injuries risk factors such as driving offenses and average speed are concerns for health organizations to reduce the number of injuries. Without any comprehensive view of each road, one cannot decide about the effective policy. In this manner, the data-driven policy will help to improve and assess the decisions. The count data near the road of two airports is surveyed for investigating the timevarying speed zones.The descriptive statistics, ANOVA, and functional data analysis were used. The hourly data of traffic counts for four different locations at the entrance of the two airports, international and domestics, were collected for one the year 2018 to 2019.The hourly pattern of driving offenses for each road was assessed and the to and from airport roads had different peaks (<0.05). The hour, weekdays, type of airport, direction and their interactions were statistically significant (<0.05) for the chance of driving offenses. The speed average during the day was statistically different (<0.5) by the number of different types of vehicles.The traffic count data is a great resource for decision making in safe driving subjects such as driving offenses. With functional data analysis, we can analyze them to get the most of the characteristics of this data. The airports are public places with high traffic demand in all countries that yields the different pattern of traffic transportation, therefore we extract the factors that affect the driving offenses. Finally, we conclude that conducting a time-varying speed zone near the airports seems vital.

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Evaluation of penalty and enforcement strategies to combat speeding offences among professional drivers: A Hong Kong stated preference experiment

Cited by 48 publications

References 57 publications

Examining drivers’ socio-demographic variables and perceptions towards sanction mechanisms on speeding behaviour on highways: targeting appropriate prevention

Examining drivers’ socio-demographic variables and perceptions towards sanction mechanisms on speeding behaviour on highways: targeting appropriate prevention

Processes of a Transformation of Young Drivers’ Responsibility for Health—Carpe Diem

The Data-Driven Pattern for Healthy Behaviors of Car Drivers Based on Daily Records of Traffic Count Data From 2018 to 2019 Near Airports: A Functional Data Analysis

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