The relationship between awareness of road safety measure and accident involvement in pre-drivers: the basis of a road safety programme

Arnau‐Sabatés, Laura; García, Mercé Jariot; Muñoz, Màrius Martínez; Capdevila, Josep Montané

doi:10.1080/13669877.2012.761272

Cited by 11 publications

(4 citation statements)

References 44 publications

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“…Because of demographic differences in the risk behaviors that we assessed, we examined our data for differences between males and females. A substantial literature has reported that males engage in significantly more risk behaviors than females (Arnau-Sabates et al, 2013;Figner & Weber, 2011;Harris, Jenkins, & Glaser, 2006;Pawlowski et al, 2008;Thomson & Carlson, 2015;Wong, Zane, Saw, & Chan, 2013). For example, based on a meta-analysis of 150 studies, Byrnes, Miller, and Schafer (1999) reported that males engage in more risk-taking behaviors than females.…”

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confidence: 99%

Real‐World Correlates of Performance on Heuristics and Biases Tasks in a Community Sample

Toplak

West

Stanovich

2016

Behavioral Decision Making

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In the current study, we sought to examine whether performance on several heuristics and biases tasks and thinking dispositions was associated with real‐life correlates in a community sample of adults. We examined performance on five heuristics and biases tasks (ratio bias, belief bias in syllogistic reasoning, cognitive reflection, probabilistic and statistical reasoning, and rational temporal discounting), three thinking dispositions (actively open‐minded thinking, future orientation, and avoidance of superstitious thinking), and a questionnaire assessing real‐world correlates in several domains (substance use, driving behavior, financial behavior, gambling behavior, electronic media use, and secure computing). Our heuristics and biases tasks and thinking disposition measures were modestly associated with several real‐world outcomes, including the domains of secure computing, financial behaviors, and the total scores. That is, better performance on the heuristics and biases measures was associated with fewer negative outcomes. We found that the associations were generally higher in males than in females. Heuristics and biases performance and thinking dispositions were unique predictors of real‐world outcomes after statistically controlling for educational attainment and sex differences. Copyright © 2016 John Wiley & Sons, Ltd.

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confidence: 99%

Real‐World Correlates of Performance on Heuristics and Biases Tasks in a Community Sample

Toplak

West

Stanovich

2016

Behavioral Decision Making

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“…Comparable factorization has been encountered in the literature before (e.g. Arnau-Sabatés et al, 2013). Nonetheless, good statistical performance is not a guarantee for logical relevance.…”

Section: Discussionmentioning

confidence: 92%

Examining the relationship between impaired driving and past crash involvement in Europe: Insights from the ESRA study

Ζιακόπουλος

Theofilatos

Laiou

et al. 2021

International Journal of Injury Control and Safety Promotion

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Driving under the influence of alcohol, drugs and fatigue are all important factors of crash causation. Exploring the link between driver attitudes and crash involvement provides understanding on these important issues. To that end, questionnaire answers of car drivers disclosing their attitudes on the impacts of driving under the influence of alcohol, drugs and fatigue, and their relationship with past crash involvement as car drivers were analysed. A two-step approach is adopted: Principal Component Analysis (PCA) was employed to consolidate relative questions in numeric factor quantities. Afterwards, binary logistic regression was implemented on the calculated component scores to determine the impact of perspectives of road users for each factor on past crash involvement of car drivers. Data from the international ESRA2015 survey were utilized. PCA indicated that it is possible to meaningfully merge 29 ESRA2015 questions relevant to driving under the influence of alcohol, drugs and fatigue into 8 informative components accounting for an adequate percentage of variance. Binary logistic analysis indicated that components involving overall personal and communal acceptance of impaired driving, overall and past year personal behavior towards impaired driving and frequency of typical journey checks by traffic police were all quantities positively correlated with past crash involvement.

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“…According to Neuburger and Egger (2020), travelers have restrictions and reservations about travel plans to various places during COVID-19, which will influence TBP. Education on understanding the risk factors and care for each other’s emotions while driving on road will alleviate the unpleasant consequences (Arnau-Sabatés et al , 2013) such as road rage or frustrations. Predicting the intention of road users is crucial because the time frame for decision-making while driving is minimal or instantaneous to avoid any difficult situation.…”

Section: Hypotheses Developmentmentioning

confidence: 99%

Smart cities need environmental consciousness and more social responsibilities as an outcome of COVID-19 – reflections from urban road commuters

Leow

Jayaraman

2021

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Purpose A lesson has been learned from the pandemic experience that less damages to the environment and realizing more social responsibilities would be the direction of the post-pandemic period globally. The purpose of this study is to focus on identifying the appropriate determinants of the proposed urban travel behavior model to develop Smart Mobility in Smart Cities to protect the environment. Potential to realize Smart Cities with infrastructure development has been explored in this study if road users are keen to combat climatic change which is clear from the challenges of flattening the infection rate through the enforcement of rules and regulations by the various government. Design/methodology/approach The proposed urban travel behavior model includes sub-drivers for each of the main drivers in the theory of interpersonal behavior (TIB). These sub-drivers emphasize in forming intentions to perform the behavioral changes while driving on urban roads during COVID-19 and post-pandemic periods. A primary online survey was conducted among road commuters in the most crowded place in Malaysia, the Greater Kuala Lumpur. A total of 383 respondents who frequently drive on road during the past one year were surveyed for this study. This data analysis of this quantitative study applied a partial least squares-structural equation modeling approach to determine the significant findings and results. Findings The significant findings of the study reveal that environmental consciousness and timely deviation in driving during traffic congestion are positively and significantly influencing the travel behavior performance (TBP) of commuters on urban roads. On the other hand, wet conditions due to weather, narrow road infrastructure and habits of road commuters are negatively influencing TBP. Social responsibility is positively and significantly influencing TBP through the mediating effect of the intention of road commuters’ behavior. Research limitations/implications The current environmental concerns and societal adherence efforts in breaking the chain of the infectious COVID-19 among people can be manifested to develop Smart Cities with less air and noise pollution in the future. In this context, the present study proposes an urban travel behavior model and tests for its suitability of a greener and cleaner environment for the benefit of future generations. The limitation of the present study is that travel hazards are not included in the framework, as it is a topic of its own volume. Originality/value It is timely to implement Smart Mobility on road business models for Smart Cities as the consequences of the pandemic make us to realize the importance of environmental concerns and the social responsibilities of everyone. TIB considers four drivers, namely, attitude, subjective norm, affect and habit which induce intention to perform behavioral decisions. The novelty of the present study is the development of sub-drivers for these four drivers in the context of the urban travel behavior model.

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The relationship between awareness of road safety measure and accident involvement in pre-drivers: the basis of a road safety programme

Abstract: The relationship between awareness of road safety measure and accident involvement in pre-drivers: the basis of a road safety programme.

Cited by 11 publications

References 44 publications

Real‐World Correlates of Performance on Heuristics and Biases Tasks in a Community Sample

Real‐World Correlates of Performance on Heuristics and Biases Tasks in a Community Sample

Examining the relationship between impaired driving and past crash involvement in Europe: Insights from the ESRA study

Smart cities need environmental consciousness and more social responsibilities as an outcome of COVID-19 – reflections from urban road commuters

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