A novel framework for improvement of road accidents considering decision-making styles of drivers in a large metropolitan area

Azadeh, A.; Zarrin, Mansour; Hamid, Mehdi

doi:10.1016/j.aap.2015.11.007

Cited by 32 publications

(24 citation statements)

References 74 publications

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“…Consequently, these people have a mixture of hierarchic and integrative traits. 1,14,15 Driver et al 1 observed that cooperation and affinity among people are different hinges on their DMSs (see Table 2). For instance, one can see an unfavorable interplay between flexible and hierarchic styles.…”

Section: Dmssmentioning

confidence: 99%

“…Also, as it will be elaborated in section ''DMSs,'' the DMS of each person represents his or her personality features. 14,15 Accordingly, recognition of DMSs of the nurses can help us to forecast their actions and having a better view of their behavior to decrease struggles among them. Hence, underscoring human aspects, this research proposes a multi-objective model to address the NSP such that nurses' DMSs are incorporated into the model.…”

Section: Introductionmentioning

confidence: 99%

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A multi-objective model for a nurse scheduling problem by emphasizing human factors

Hamid

Tavakkoli–Moghaddam

Golpaygani

et al. 2019

Proc Inst Mech Eng H

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Assigning nurses to appropriate departments and work shifts based on human factors can strengthen teamwork and boost the efficiency of healthcare systems. The human factors considered in this study include skill, preference, and compatibility of nurses. In this regard, a unique multi-objective mathematical model for nurse scheduling is proposed in this article, in which nurses’ decision-making styles are taken into account. Three objectives, including minimization of the total cost of staffing, minimization of the sum of incompatibility among nurses’ decision-making styles assigned to the same shift days, and maximization of the overall satisfaction of nurses for their assigned shifts, are addressed in this model. Three meta-heuristics, namely, multi-objective Keshtel algorithm, non-dominated sorting genetic algorithm II, and multi-objective tabu search, are developed to solve the problem. Moreover, a data envelopment analysis method is employed to rank the obtained Pareto solutions. Afterwards, a real-life case at a large hospital in Tehran, Iran, is investigated. Eventually, the applicability and effectiveness of the proposed model are assessed based on the experimental results.

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Section: Dmssmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A multi-objective model for a nurse scheduling problem by emphasizing human factors

Hamid

Tavakkoli–Moghaddam

Golpaygani

et al. 2019

Proc Inst Mech Eng H

View full text Add to dashboard Cite

show abstract

“…Decision-making is another important factor in driving behaviors. Making decisions during driving is a vital factor in driving behavior ( 19 ), and proper decision-making can reduce the risk of road traffic injuries ( 20 ). Scott and Bruce (1995) defined decision-making styles as repeated behavioral patterns shown by people when faced with situations that require decision-making ( 21 ).…”

mentioning

confidence: 99%

“…Later the avoidant style (tendency to avoid or postpone making decisions) was added to this model ( 19 ). Decision-making during driving is a vital factor in the model of driving ( 20 ).…”

mentioning

confidence: 99%

Driving Behaviors in Iran: Comparison of Impulsivity, Attentional Bias, and Decision-Making Styles in Safe and High-Risk Drivers

Barati

Pourshahbaz

Nosratabadi³

et al. 2020

IJPS

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Objective: Road traffic injuries are leading cause of death and economic losses, particularly in developing countries such as Iran. Thus, increased understanding of the causes of traffic accidents can help solve this problem. The primary goal of this study was to examine attentional bias, decision-making styles, and impulsiveness in drivers with safe or risky driving behaviors. The secondary purpose was to determine the variance of each variable among 2 groups of drivers. Method: This was a cross sectional design study, in which 120 male drivers aged 20-30 years (60 males with risky driving behaviors and 60 with safe driving behaviors) were recruited from Tehran using sampling technique. Barratt Impulsiveness Scale (BIS), Decision-Making Style Scale (DMSQ), Manchester Driver Behavior Questionnaire (MDBQ), Self-Assessment Manikin Scale (SAM), and Dot Probe Task were used. The analyses were performed using IBM SPSS version 22. Results: The mean age of participants was 26 years. Significant differences were found between impulsiveness (attentional, motor, and non planning impulsiveness) and decision-making styles (spontaneous and avoidant) between the 2 groups. Also, based on the results of discriminant function analysis (DFS), the subscales of impulsiveness and 2 decision-making styles explained 25% of the variance in the 2 groups of risky and safe drivers. Conclusion: Findings of this study indicated that impulsiveness and 2 decision-making styles were predominant factors. Therefore, not only is there a need for research to reduce traffic accidents, but studies can also be helpful in issuing driving licenses to individuals.

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“…Decision-making is the selection of a procedure that weighs alternatives and provides improved strategies for inefficient organizations [10]. Various mathematical approaches have been used to develop decision-making models.…”

Section: Introductionmentioning

confidence: 99%

Incorporating Workplace Injury to Measure the Safety Performance of Industrial Sectors in Taiwan

Yeh

2017

Sustainability

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Abstract:The severity of workplace injuries varies by industry. Information on workplace injuries can enable firms and governments to effectively improve their safety performance based on the specific contexts of each industry. Incorporating the three workplace injury rates (being wounded or ill, disability, and death), a data envelopment analysis (DEA) model is developed to evaluate the safety performance of 17 industrial sectors in Taiwan. The results suggest that the Taiwanese government should pay particular attention to the mining and quarrying industry, which has the lowest safety performance. Additionally, the results provide abundant information for the Taiwanese government to design industry safety regulations in a way that may prompt firms to develop a sustainable economy by improving their health and safety practices and enhancing their overall safety performance.

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A novel framework for improvement of road accidents considering decision-making styles of drivers in a large metropolitan area

Cited by 32 publications

References 74 publications

A multi-objective model for a nurse scheduling problem by emphasizing human factors

A multi-objective model for a nurse scheduling problem by emphasizing human factors

Driving Behaviors in Iran: Comparison of Impulsivity, Attentional Bias, and Decision-Making Styles in Safe and High-Risk Drivers

Incorporating Workplace Injury to Measure the Safety Performance of Industrial Sectors in Taiwan

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