Factors underpinning unsafe driving: A systematic literature review of car drivers

Bowen, Louise; Budden, Shannon L.; Smith, Andrew Paul

doi:10.1016/j.trf.2020.04.008

Cited by 38 publications

(18 citation statements)

References 74 publications

(62 reference statements)

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“…These effects were observed in both cross-sectional and longitudinal studies (Galvin and Smith, 2015;Nelson and Smith, 2016). The model appears to be very robust in that it has been supported in studies of general working samples (Nor and Smith, 2018;Omosehin, 2021), working mothers (Smith & James, 2021), office workers Langer, Tailor & Smith, 2019), university staff (Williams, Thomas and Smith, 2017), teachers (Smith and James, 2021), nurses Williams, Pendlebury & Smith, 2021), blue collar workers , transport workers Bowen, Budden & Smith, 2020), the coastguard (Kingdom & Smith, 2011), the police (Nelson, 2017), trainee mental health staff (Galvin, 2016), firefighters (Butler et al, 2021), call center staff (McFarlane, 2022), those working away from home for extended periods (Smith, 2021b), and sports organizations (Neil, McFarlane & Smith, 2016). The model has been used in studies in Italy (Capasso, Zurlo & Smith, 2016Zurlo, Valone & Smith, 2018), China (Zhang & Smith, 2021), the USA (Ahmad et al, 2018a, b), Jamaica (Nelson, 2017), Kuwait (Alheneidi, 2020) and Nigeria (Omosehin, 2021).…”

Section: The Cardiff Wellbeing At Work Programmentioning

confidence: 72%

Handbook of Research on the Complexities and Strategies of Occupational Stress

2022

Advances in Human Resources Management and Organizational Development

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The first part of the present chapter describes the Demands-Resources-Individual-Effects (DRIVE) model development. This approach maintained the features of earlier models but emphasized individual differences and personal resources. The second part of the chapter reviews recent DRIVE research, focusing on investigating both positive and negative aspects of work. The third part of the chapter discusses psychosocial factors in practitioner research, which could adapt the DRIVE model to employee experience and engagement. Suggestions for future fundamental research and using DRIVE to individualize industry research are then made.

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Section: The Cardiff Wellbeing At Work Programmentioning

confidence: 72%

Handbook of Research on the Complexities and Strategies of Occupational Stress

2022

Advances in Human Resources Management and Organizational Development

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“…Several systematic reviews of the literature have found that poor physical and mental health in medical professionals is associated with less safe patient care [100,101]. In the case of bus drivers, a "good" physical and psychological state is associated with greater safety on the road [102,103], while in the group of production workers it means fewer mistakes at work and higher performance [104].…”

Section: Discussionmentioning

confidence: 99%

How Is Work Ability Shaped in Groups of Shift and Non-Shift Workers? A Comprehensive Approach to Job Resources and Mediation Role of Emotions at Work

Baka

Ścigała

Kapica

et al. 2021

IJERPH

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There is much less research on the relationship between shift work and positive states experienced in the workplace, e.g., emotions and work ability. Using the job demands-resources model, conservation of resources theory and the broaden-and-build theory as theoretical frameworks, the direct and indirect (mediated via positive and negative emotions) relations between the complex of job resources and work ability were tested in the group of shift and non-shift workers. Three types of resources related to task, leadership and interpersonal relations were taken into account. Data were collected among 1510 workers. Structural equation modelling (SEM) showed that only leadership was directly related to high work ability in both occupational groups. Indirect effects of positive and negative emotions were strongly supported. Both of them mediate the effects of the three analysed job resources on work ability, but individual job resources impacted were different. Leadership resources led to “good” work ability by the intensification of positive and reduction of negative emotions. Interpersonal resources decrease negative emotions. Task resources, conversely, intensified positive emotions, which in turn increased work ability. These research results shed more light on the ways of shaping work ability among shift and non-shift workers.

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“…Driving is a complex activity that requires integration of physical, cognitive and sensory functions and is influenced both by internal human psychological factors and external environment factors. The existing literature summarizes factors influencing driving performance into two sets: (1) driver factors, for example, demographics (age/experience, sex, occupational group), visual ability (static and dynamic acuity, visual field, field dependence), driving skills (vehicle handing ability, hazard perception, judgement skills), psychological factors (risk tolerance, social/driving deviance, thrill/sensation seeking, sensitivity to external distractions), and temporary states (mood, fatigue, impairment due to drug or drink, illness, stress, speed adoption); (2) delivery task characteristics (length, purpose, shipment type, urgency), vehicle characteristics (performance, comfort, deteriorating status), road settings (road type, speed limit, design speed, maintenance, enforcement levels), environmental factors (time of day, sign/warnings, weather, local knowledge, presence of passengers/pedestrians) (Oppenheim et al , 2016; Santos et al , 2017; Mehdizadeh et al , 2019; Yan et al , 2019; Bowen et al , 2020). Single driving behaviour and road smoothness analytics as mentioned above may not be sufficient; here we are extensively motivated to uncover the significance of external factors that have influences on driving performance gradings.…”

Section: Multiple Factor Analysismentioning

confidence: 99%

Driving performance grading and analytics: learning internal indicators and external factors from multi-source data

Zhou

Zhao

et al. 2021

IMDS

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PurposeThe purpose of this paper is to deal with the practical challenge faced by modern logistics enterprises to accurately evaluate driving performance with high computational efficiency under the disturbance of road smoothness and to identify significantly associated performance influence factors.Design/methodology/approachThe authors cooperate with a logistics server (G7) and establish a driving grading system by constructing real-time inertial navigation data-enabled indicators for both driving behaviour (times of aggressive speed change and times of lane change) and road smoothness (average speed and average vibration times of the vehicle body).FindingsThe developed driving grading system demonstrates highly accurate evaluations in practical use. Data analytics on the constructed indicators prove the significances of both driving behaviour heterogeneity and the road smoothness effect on objective driving grading. The methodologies are validated with real-life tests on different types of vehicles, and are confirmed to be quite effective in practical tests with 95% accuracy according to prior benchmarks. Data analytics based on the grading system validate the hypotheses of the driving fatigue effect, daily traffic periods impact and transition effect. In addition, the authors empirically distinguish the impact strength of external factors (driving time, rainfall and humidity, wind speed, and air quality) on driving performance.Practical implicationsThis study has good potential for providing objective driving grading as required by the modern logistics industry to improve transparent management efficiency with real-time vehicle data.Originality/valueThis study contributes to the existing research by comprehensively measuring both road smoothness and driving performance in the driving grading system in the modern logistics industry.

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Factors underpinning unsafe driving: A systematic literature review of car drivers

Abstract: Objectives: The purpose was to provide a systematic review of the literature related to the personality and well-being of social, domestic, pleasure and commuting (SDP&C) car drivers.

Cited by 38 publications

References 74 publications

Handbook of Research on the Complexities and Strategies of Occupational Stress

Handbook of Research on the Complexities and Strategies of Occupational Stress

How Is Work Ability Shaped in Groups of Shift and Non-Shift Workers? A Comprehensive Approach to Job Resources and Mediation Role of Emotions at Work

Driving performance grading and analytics: learning internal indicators and external factors from multi-source data

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