Differences of Driving Experience and Gender on Traffic Offences Among Malaysian Motorists

Liew, Sharifah; Hamidun, Rizati; Soid, Nor Fadilah Mohd

doi:10.1051/matecconf/201710308016

Cited by 11 publications

(10 citation statements)

References 20 publications

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“…Age and gender were both significant predictors of following a vehicle too closely, indicating that males and younger drivers were likely to report engaging in the behavior more often. These results are consistent with previous research, finding younger drivers (Horswill et al, 2020; Kaiser et al, 2016; Liew et al, 2017; Monteiro et al, 2015; Rashid, 2016) and male drivers (Liew et al, 2017; Rashid, 2016) engage in unsafe following distances more frequently than older drivers and female drivers, respectively. Admission of following a vehicle too closely in the current study (98%) was significantly higher than admissions of other illegal behaviors such as drink driving (25%; Freeman et al, 2016) and phone use (58%; Truelove et al, 2019) in previous studies.…”

Section: Discussionsupporting

confidence: 92%

Examining the impact of both legal and nonlegal factors on following a vehicle too closely utilizing three deterrence-based theories

Ochenasek

Truelove

Stefanidis

et al. 2021

Journal of Criminology

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Following a vehicle too closely (otherwise known as tailgating) is a high-risk behavior and major contributor to motor-vehicle collisions and injuries. Both legal and nonlegal countermeasures are currently in place in an attempt to prevent this behavior, yet there has been limited research that has examined the effectiveness of both legal and nonlegal factors on engagement in the behavior. Therefore, this research utilized a combination of the three most salient deterrence-based theories used in road safety to understand the impact of both legal and nonlegal sanctions on following a vehicle too closely. A survey was completed by 887 Queensland drivers aged 17–84 years ( Mage = 49 years; 55% males). Variables from Classical Deterrence Theory, the reconceptualized deterrence theory and the extended deterrence-based model (that includes perceived internal loss, physical loss, and social sanctions), as well as measures of following a vehicle too closely were used. The majority of the sample (98%) reported following a vehicle too closely at some point, with the average frequency ranging from rarely to sometimes. Significant predictors of more frequent unsafe following distances included: being male, younger in age, and avoiding punishment for the behavior. Meanwhile, significant predictors of less frequent unsafe following distances included knowing others who have been punished for the behavior, as well as fearing the physical and internal losses resulting from unsafe following distances. Notably, the severity of the punishment was also a significant deterrent, while the perceived certainty of being apprehended for the offence was low and did not impact engagement in behavior. These results have a number of important implications on how to maximize both legal and nonlegal countermeasures to further prevent following a vehicle too closely.

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Section: Discussionsupporting

confidence: 92%

Examining the impact of both legal and nonlegal factors on following a vehicle too closely utilizing three deterrence-based theories

Ochenasek

Truelove

Stefanidis

et al. 2021

Journal of Criminology

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“…In this study, men exhibited a higher risk of experiencing an NFI due to an RTA than women. This result is supported by many local and international studies, in which a proposed explanation for this was the hormonal differences between genders [ 19 , 20 , 21 , 22 , 23 ]. Testosterone was suggested to influence the temperament of a driver by boosting aggression levels.…”

Section: Discussionsupporting

confidence: 77%

Assessing Factors Associated with Non-Fatal Injuries from Road Traffic Accidents among Malaysian Adults: A Cross-Sectional Analysis of the PURE Malaysia Study

Isa

Ismail

Tamil

et al. 2022

IJERPH

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Non-fatal injuries (NFIs) due to road traffic accidents (RTAs) are a public health problem worldwide that significantly impacts the population morbidity and healthcare costs. As the demands for vehicles in developing countries, such as Malaysia, is increasing annually, the present study aims to determine the prevalence and factors associated with NFIs due to RTAs among Malaysia’s adult population. Methods: This was a cross-sectional study involving 15,321 participants from the Prospective Urban and Rural Epidemiological (PURE) study conducted in Malaysia. Participants reported whether they had experienced an NFI that limited their normal activities within the past 12 months. Data on risk factors for NFIs were elicited. Multiple logistic regression models were fitted to identify the associated factors. Results: Overall, 863 participants (5.6% of 15,321) reported at least 1 NFI in the past 12 months, with 303 caused by RTAs (35.1%), 270 caused by falls (31.3%) and 290 attributed to other causes (33.6%). The factors associated with higher odds of sustaining an NFI due to an RTA were being male (adjusted odd ratio (AOR) 2.08; 95% CI 1.33–3.26), having a primary (2.52; 1.40–4.55) or secondary (2.64; 1.55–4.49) level of education, being overweight to obese (1.40; 1.01–1.94), being currently employed (2.03; 1.31–3.13) and not practicing a noon nap/siesta (1.38; 1.01–1.89). Conclusions: The occurrence of NFIs due to RTAs is highly preventable with strategic planning aimed at reducing the risk of RTAs among the Malaysian population. Interventions focusing on protecting road users, especially those who drive two-wheelers, with proactive road safety awareness and literacy campaigns, combined with strict enforcement of the existing traffic laws and behavioural modifications, may reduce the risk of NFIs following RTAs.

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“…The data of this study were obtained through a questionnaire and analysis is done based on T test and Chi-squared test. The result of this research was that male, experienced drivers compared to other drivers are more likely to exceed the speed limit, fail to observe the appropriate longitudinal distance to the front passenger car, and enter prohibited special lane (BRT Lane) [12].…”

Section: Literature Reviewmentioning

confidence: 96%

Introducing a Model of Urban Taxi Driver’s Offenses

2018

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The aim of this study is to investigate the unsafe behavior of taxi drivers as a large group of professional drivers and the factors affecting driving violations occurring in Tehran. For this goal, the data regarding driving offenses of urban taxi drivers in 22 districts of Tehran from 2015 to 2016 has been collected from traffic police and used in statistical analysis and multiple regression modeling. According to the results, the probability of a red light violation during working days is more than nonworking days. In addition, taxi drivers older than 70 are more likely to commit red light violation compared to the drivers younger than 30. Moreover, prohibited entry is more probable to occur during working days being about 2.5 times more than that of non-working days. Besides, drivers with newer and more expensive cars commit less driving offenses compared to the drivers with older and cheaper cars. Finally, it was found that by increasing the engine power of the vehicles, the rate of driving offenses by taxi drivers is decreased, such that in cars with 1600 cc engine power or less, the probability of not paying attention to the police regulations is six times more than the cars with 1800 cc engine power and more.

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Differences of Driving Experience and Gender on Traffic Offences Among Malaysian Motorists

Cited by 11 publications

References 20 publications

Examining the impact of both legal and nonlegal factors on following a vehicle too closely utilizing three deterrence-based theories

Examining the impact of both legal and nonlegal factors on following a vehicle too closely utilizing three deterrence-based theories

Assessing Factors Associated with Non-Fatal Injuries from Road Traffic Accidents among Malaysian Adults: A Cross-Sectional Analysis of the PURE Malaysia Study

Introducing a Model of Urban Taxi Driver’s Offenses

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