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

Trapsilawati, Fitri; Priatna, Nadhiya Ulhaq; Wijayanto, Titis; Widyanti, Ari; Syafitri, Utami Dyah; Chamidah, Nur

doi:10.1017/s0373463321000217

Cited by 4 publications

(4 citation statements)

References 31 publications

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“…Although the studies provide essential information, they must also provide good insights into aspects of riders' behavior that affect road safety [8]. However, the demographic variables studied have great potential as moderator variables [9,10]. The variables are not the target of intervention in safety action programs.…”

Section: Introductionmentioning

confidence: 99%

The Development of Motorcycle Accident Models Based on Riders’ Characters

Bolla,

Djakfar,

Wicaksono

et al. 2023

Civ Eng J

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Human errors have commonly been perceived as the dominant cause of accidents. Different individuals may behave differently towards certain situations, leading to accidents. This study aims to model the relationship between the riders’ personalities, riding performance, and the probability of being involved in an accident. Adding mindfulness as a mediating variable and demographic factors as moderating variables are also essential points to developing the model. The Big Five Inventory (BFI) and Mindful Attention Awareness Scale (MAAS) were used to measure the respondents' traits, while the Honda Riding Trainer (HRT) was used as a simulation tool. The Structural Equation Modelling (SEM) analysis shows that only the neuroticism variable significantly predicts mindfulness and riding performance. The openness and conscientiousness variables only significantly predicted mindfulness, while agreeableness is the only Big Five personality that significantly predicted riding performance. The results also show that although the mindfulness (M) variable in this study has not been able to become a mediating variable, it is strong enough as an exogenous variable for riding performance. The logistic regression analysis found that the worse the rider's performance, the greater the chance of an accident. Female riders are more than twice as likely to have an accident as male riders. These results indicate the need to research road safety that is differentiated by sex and its characteristics based on it. Doi: 10.28991/CEJ-SP2023-09-018 Full Text: PDF

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Section: Introductionmentioning

confidence: 99%

The Development of Motorcycle Accident Models Based on Riders’ Characters

Bolla,

Djakfar,

Wicaksono

et al. 2023

Civ Eng J

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“…Demographically, the people who engage in these behaviors are generally consistent with the findings described above. Moreover, in situations such as speeding and traffic violations, increased experience has been found to be consistent with increased violations, potentially due to a sense that they understand the road and its hazards better than less experienced drivers ( Trapsilawati et al, 2021 ). Trapsilawati et al (2021) also found that perception or awareness of what consequences the individual could face influence driver behavior.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, in situations such as speeding and traffic violations, increased experience has been found to be consistent with increased violations, potentially due to a sense that they understand the road and its hazards better than less experienced drivers ( Trapsilawati et al, 2021 ). Trapsilawati et al (2021) also found that perception or awareness of what consequences the individual could face influence driver behavior. Married drivers with children and older drivers reported increased awareness of legal road requirements, while single and younger drivers were less responsive to these mechanisms, suggesting that risk awareness and aversion may be related to awareness of potential material loss.…”

Section: Introductionmentioning

confidence: 99%

Why take the risk? Exploring the psychosocial determinants of floodwater driving

et al. 2022

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As anthropogenic climate change progresses, there is an increasing need for individuals to make appropriate decisions regarding their approach to extreme weather events. Natural hazards are involuntary risk environments (e.g., flooded roads); interaction with them cannot be avoided (i.e., a decision must be made about how to engage). While the psychological and sociocultural predictors of engagement with voluntary risks (i.e., risk situations that are sought out) are well-documented, less is known about the factors that predict engagement with involuntary risk environments. This exploratory study assessed whether mental health (depression, anxiety, and stress symptoms), personality traits, and cultural worldviews combine to predict engagement with involuntary risk, using the situation of floodwater driving. An Australian sample (N = 235) was assessed via questionnaire and scenario measures. Results were analyzed in a binomial logistic regression assessing which individual factors predicted decision-making in a proxy floodwater driving scenario. Agreeableness and gender were individually significant predictors of floodwater driving intention, and four factors (named “affect,” “progressiveness,” “insightfulness,” and “purposefulness”) were derived from an exploratory factor analysis using the variables of interest, though only two (“progressiveness” and “insightfulness”) predicted floodwater driving intention in an exploratory binomial logistic regression. The findings highlight the need for further research into the differences between voluntary and involuntary risk. The implication of cultural worldviews and personality traits in interaction with mental health indicators on risk situations is discussed.

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“…In this issue of the journal, Trapsilawati et al. (2021) look into the underlying predictors of speeding behaviour and examine the effects of demographic variables on the perceived deterrent mechanisms and predict speeding behaviour to target appropriate prevention programmes. Their paper, which focuses on human behaviour in speeding and driving, looked at 212 randomly selected drivers with valid car driving licences and concluded that demographic variables play an important role in drivers’ perceptions towards social and legal sanctions as well as material loss.…”

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confidence: 99%

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2021

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

Cited by 4 publications

References 31 publications

The Development of Motorcycle Accident Models Based on Riders’ Characters

The Development of Motorcycle Accident Models Based on Riders’ Characters

Why take the risk? Exploring the psychosocial determinants of floodwater driving

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