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Eisapareh K, Nazari M, Kaveh MH, Cousins R, Mokarami H. Effects of an educational intervention program based on the PRECEDE–PROCEED model for anger management and driving performance of urban taxi drivers: A comparison of traditional and online methods. SAFETY SCIENCE 2023; 157:105933. [DOI: 10.1016/j.ssci.2022.105933] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
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2
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Xu C, Wang L, Easa SM, Yang Y. Analysis of students' anger during riding electric bicycles on campus. Heliyon 2022; 8:e09561. [PMID: 35669541 PMCID: PMC9163507 DOI: 10.1016/j.heliyon.2022.e09561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 03/29/2022] [Accepted: 05/25/2022] [Indexed: 10/29/2022] Open
Abstract
This paper presents a study of the causes of anger of students who ride electric bicycles on a university campus. A questionnaire survey of 370 students in university was conducted using a electric bicycle rider anger scale. Structural equation model is used to analyze the interaction between pedestrians, traffic management, other riders and environment and riders themselves. The results show that the overall level of students' riding anger on the campus was not high, and the interaction with the surrounding environment mainly reflected the riding anger of college students. The interaction of students' anger with campus traffic management requirements was relatively low. Based on the study results, several campus traffic management and safety education recommendations are made.
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Affiliation(s)
- Changbin Xu
- College of Civil Engineering, Fuzhou University, Fujian, 350116, China
| | - Linwei Wang
- College of Civil Engineering, Fuzhou University, Fujian, 350116, China
| | - Said M. Easa
- Department of Civil Engineering, Ryerson University, Toronto, M5B 2K3, Canada
| | - Yanqun Yang
- College of Civil Engineering, Fuzhou University, Fujian, 350116, China
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Shukri M, Jones F, Conner M. Theory of planned behaviour, psychological stressors and intention to avoid violating traffic rules: A Multi-Level modelling analysis. ACCIDENT; ANALYSIS AND PREVENTION 2022; 169:106624. [PMID: 35272222 DOI: 10.1016/j.aap.2022.106624] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 02/15/2022] [Accepted: 03/01/2022] [Indexed: 06/14/2023]
Abstract
This study applies a multilevel model approach to test the predictive effect of the theory of planned behaviour (TPB) plus moral norm, past behaviour and crash history to account for intentions to avoid traffic violations within the context of commuting to or from work. This study also extended the theory by adding psychological stressors of perceived stress and work-family conflict. In this study, we systematically tested the direct and mediated models. A sample of Malaysian drivers (N = 482; 44.6% were men and 55.4% women), with the average age of 36.7 years (SD = 10.0) was surveyed. The self-report questionnaire contained multiple observations nested within individual drivers, with respect to 3 different driving violations. As predicted, multi-level modelling showed that within-person predictor variables of all the TPB components emerged as independent predictors, with injunctive norm being the most predictive variable, followed by self-efficacy and cognitive attitude. Intention was also predicted by moral norms and crash history. Between-person variables, gender, commuting hours and work-family conflict also had direct influences on intention (i.e., men and those with longer commuting hours and higher work-family conflict reported lower intentions). Substantial support for the mediation model was found, confirming that stressors indirectly influence intentions through effects on the social cognitive components. The implications of the linkage between the social cognition and stressors for developing potential broader interventions focusing on multiple violation behaviours and designing appropriate safety policies to reduce commuting crashes are discussed.
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Affiliation(s)
- Madihah Shukri
- Department of Psychology and Counseling, University Malaysia Terengganu, Malaysia.
| | - Fiona Jones
- School of Psychology, University of Leeds, UK.
| | - Mark Conner
- School of Psychology, University of Leeds, UK.
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4
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Analyzing Pedestrian Behavior at Unsignalized Crosswalks from the Drivers’ Perspective: A Qualitative Study. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12084017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
This study investigated drivers’ perceptions of pedestrian crossing behavior at unsignalized crosswalks, which was less fruitful in quantitative and qualitative traffic research. Subjective and snow-ball sampling were used to conduct semi-structured in-depth interviews based on drivers’ daily driving experience from qualitative research. A theoretical model of pedestrian behavior at unsignalized crosswalks was constructed using the grounded theory and the theoretical saturation test. The model involved 4 three-level codes and 13 two-level codes (main category) used to obtain seven subcategories. The results show that drivers believe that pedestrian characteristics, driver characteristics, and age factors are the three factors that affect pedestrian crossing safety. Targeted improvement measures are put forward to guide the design of pedestrian crossing facilities, pedestrian management and guidance, and future research on conflicts between autonomous vehicles and pedestrians.
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Shukri M, Jones F, Conner M. Work-family conflict and dangerous driving behaviours: The mediating role of affect. Stress Health 2021; 37:669-681. [PMID: 33434316 DOI: 10.1002/smi.3026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 10/27/2020] [Accepted: 01/05/2021] [Indexed: 12/12/2022]
Abstract
This study examined the under-studied relationship between work-family conflict and dangerous driving behaviours in a sample of employees, and job-related affect as a mediator of this relationship. The sample consisted of 476 Malaysian drivers (44.7% male; 55.3% female) aged 19-60 years. The participants completed scales measuring bidirectional work family conflict (work interference with family[ WIF]; family interference with work [FIW]), job-related negative affect, dangerous driving behaviours and socio-demographics. The data were analysed using structural equation modelling. Our findings indicate that dangerous driving was predicted by FIW, but not WIF. As predicted, job-related negative affect fully mediated the relationship between WIF and dangerous driving. Furthermore, the effect of FIW on dangerous driving behaviours was partially due to negative affect at work. Mediation path was conditional upon gender, suggesting the indirect effects of the relationship between FIW and dangerous driving behaviours via job affect occurs in males but not females. The findings of this study may be useful as a starting point for both applied and theoretical investigations of the role of the psychological effects of juggling work and family responsibilities and affect in traffic safety.
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Affiliation(s)
- Madihah Shukri
- Department of Psychology and Counseling, University Malaysia Terengganu, Kuala Terengganu, Malaysia
| | - Fiona Jones
- School of Psychology, University of Leeds, Leeds, UK
| | - Mark Conner
- School of Psychology, University of Leeds, Leeds, UK
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6
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Relationships between Social Support, Social Status Perception, Social Identity, Work Stress, and Safety Behavior of Construction Site Management Personnel. SUSTAINABILITY 2021. [DOI: 10.3390/su13063184] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The occupational injury death rate and mortality ratio owing to cerebrovascular and cardiovascular diseases in the construction industry are the highest among all industries in Taiwan. Reducing work stress and improving safety behavior is a must for reducing occupational disasters and diseases. Construction site management personnel’s safety behavior is an important paradigm for construction workers. This study explored the relationships among work stress, safety behavior, professional identity, social status perception, and social support for construction site management personnel by using structural equation modeling (SEM). The results indicated that low work stress can lead to favorable safety behavior. Greater company support, family support, and professional identity reduce work stress. Social status perception negatively influences work stress indirectly through the mediation of professional identity. The results revealed that construction site management personnel working within an exempt employee system (i.e., no overtime pay and compensatory leave) exhibited a significantly higher effort/reward ratio than those without this system. Gender, headquarter location, and site location also significantly influenced the on-site management personnel’s effort/reward ratio.
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7
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Identification of Contributing Factors for Driver’s Perceptual Bias of Aggressive Driving in China. SUSTAINABILITY 2021. [DOI: 10.3390/su13020766] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Aggressive driving is common across the world. While most aggressive driving is conscious, some aggressive driving behavior may be unconscious on part of motor vehicle drivers. Perceptual bias of aggressive driving behavior is one of the main causes of traffic accidents. This paper focuses on identifying impact factors related to aggressive driving perceptual bias. Questionnaire data from 690 drivers, collected from a drivers’ retraining course administered by the Traffic Management Bureau in Nanjing, China, were used to collect drivers’ socioeconomic characteristics, personality traits, and external environment data. Actual penalty points were considered as an objective indicator and Gaussian mixture model (GMM) was used to cluster an objective indicator into different levels. The driving anger expression (DAX) was used to measure drivers’ self-assessment of aggressive driving behavior and then to identify perceptual biases. Then a binary logistic model was estimated to explore the influence of different factors on drivers’ perceptual bias of aggressive driving behavior. Results showed that bus drivers were less likely to have perceptual bias of aggressive driving behavior. Truck drivers, drivers with an extraversion characteristic, and drivers who have dissatisfaction with road infrastructure and actual work were likely to have a perceptual bias. The findings are potentially beneficial for proposing targeted countermeasures to identify dangerous drivers and improve drivers’ safety awareness.
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Hussain B, Sato H, Miwa T, Morikawa T. Influence of personality traits on aberrant driving behaviors: A comparison of Japanese, Chinese, and Vietnamese drivers. JOURNAL OF SAFETY RESEARCH 2020; 75:178-188. [PMID: 33334476 DOI: 10.1016/j.jsr.2020.09.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 06/15/2020] [Accepted: 09/23/2020] [Indexed: 06/12/2023]
Abstract
INTRODUCTION This study aims to explore the influence of Big Five personality traits in combination with various socio-demographic factors and experiences of accident involvement on aberrant driving behaviors. The study also compares the effects of the level of development (i.e., developed or developing) of three countries on the personality traits and driving behaviors. METHOD The four-factor Driver Behavior Questionnaire was used to collect data on aberrant driving behaviors, while a short version of the 10-item Big Five Inventory was used to collect data on personality traits. Responses were collected from Japan (1,250 responses), China (1,250), and Vietnam (1,000). A latent variable model was applied after controlling data in each category (e.g., age). RESULTS This study revealed that respondents who experienced accidents in the past and scored higher on Agreeableness were less likely to commit aggressive violations in Japan, China, and Vietnam. Further, Japanese and Vietnamese female drivers who scored high on Conscientiousness were found to be less likely to commit ordinary violations. Neuroticism was positively correlated with aggressive violations only in the case of Vietnamese drivers, irrespective of the history of accident involvement. CONCLUSIONS Drivers with particular personality types that are linked with aberrant driving behavior may need to receive additional training on behavior management. Practical Applications: This study may help road traffic policymakers predict future driving behaviors of Vietnamese and Chinese drivers based on those of Chinese and Japanese drivers, respectively, and act accordingly.
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Affiliation(s)
- Blawal Hussain
- Graduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya464-8603, Japan.
| | - Hitomi Sato
- Institutes of Innovation for Future Society, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan.
| | - Tomio Miwa
- Institute of Materials and Systems for Sustainability, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan.
| | - Takayuki Morikawa
- Institutes of Innovation for Future Society, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan.
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Impact of Work-Family Conflict, Job Stress and Job Satisfaction on Seafarer Performance. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17072191. [PMID: 32218272 PMCID: PMC7177528 DOI: 10.3390/ijerph17072191] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 03/15/2020] [Accepted: 03/16/2020] [Indexed: 11/16/2022]
Abstract
A lack of research has been undertaken to explore work-family conflict and its impact on the shipping industry. The objective of the present study was to empirically examine the effects of work-family conflict, job stress, and job satisfaction on seafarer performance. Data were collected from merchant ship seafarers in the Yangshan Port, Shanghai, China (n = 337). A data analysis was performed using hierarchical regression analysis. The research results revealed that work-family conflict and job stress negatively affects seafarer self-reported performance, while job satisfaction positively influences seafarer job performance. Findings also show that job satisfaction plays a moderating role in the relationships between work-family conflict, job stress and seafarer performance. Our findings demonstrate that work-family conflict, job stress and job satisfaction manifested are significant predictors for seafarer performance. Important applications and implications are provided for managers and researchers.
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10
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Job stress and emotional exhaustion at work in Spanish workers: Does unhealthy work affect the decision to drive? PLoS One 2020; 15:e0227328. [PMID: 31929546 PMCID: PMC6957144 DOI: 10.1371/journal.pone.0227328] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 12/17/2019] [Indexed: 02/05/2023] Open
Abstract
Objectives The purpose of this study was to assess the relationships among the following elements: unhealthy work indicators (job stress and emotional exhaustion at work), the decision to drive (or not), and driving crashes suffered by Spanish workers. Methods For this cross-sectional study, a full sample of 1,200 Spanish drivers (44% women and 56% men) was used, their mean age being 42.8 years. They answered a questionnaire divided into three sections: demographic and driving-related data; burnout, job stress, and life stress; and self-reported road behaviors and driving safety indicators. Results Overall, 41.6% of drivers reported emotional exhaustion at work. Furthermore, 80.2% of the participants showing substantial signs of job stress or exhaustion had experienced one or more important stressful life events during the previous year. Job stress was associated with the number of driving crashes suffered along the last 3 years. Also, and especially in situations where drivers admit not feeling well enough to drive, job stress and emotional exhaustion seem to be independent from the decision to drive, and from perceiving these variables as potential impairers of driving performance. Conclusions First of all, this study showed a high prevalence of job stress and emotional exhaustion symptoms experienced at work by Spanish workers. Moreover, significant relationships were found among self-rated driving performance, workplace stress and burnout indicators, which suggests that job stress and emotional exhaustion levels may, indeed, impair driving performance, but they do not influence the decision to drive or not. In other words, even when they are significantly affected by job stress or emotional exhaustion at work, most Spanish drivers still drive.
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11
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Zou X, Vu HL. Mapping the knowledge domain of road safety studies: A scientometric analysis. ACCIDENT; ANALYSIS AND PREVENTION 2019; 132:105243. [PMID: 31494404 DOI: 10.1016/j.aap.2019.07.019] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 06/11/2019] [Accepted: 07/20/2019] [Indexed: 06/10/2023]
Abstract
As a way of obtaining a visual expression of knowledge, mapping knowledge domain (MKD) provides a vision-based analytic approach to scientometric analysis which can be used to reveal an academic community, the structure of its networks, and the dynamic development of a discipline. This study, based on the Science Citation Index Expanded (SCIE) and Social Sciences Citation Index (SSCI) articles on road safety, employs the bibliometric tools VOSviewer and CitNetExplorer to create maps of author co-citation, document co-citation, citation networks, analyze the core authors and classic documents supporting road safety studies and show the citation context and development of such studies. It shows that road safety studies clustered mainly into four groups, whose we will refer to as "effects of driving psychology and behavior on road safety", "causation, frequency and injury severity analysis of road crashes", "epidemiology, assessment and prevention of road traffic injury", and "effects of driver risk factors on driver performance and road safety", respectively. Through our analysis, the core publications and their citation relationships were quickly located and explored, and "crash frequency modeling analysis" has been identified to be the core research topic in road safety studies, with spatial statistical analysis technique emerging as a frontier of this topic.
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Affiliation(s)
- Xin Zou
- Institute of Transport Studies, Monash University, Clayton, VIC, 3800, Australia.
| | - Hai L Vu
- Institute of Transport Studies, Monash University, Clayton, VIC, 3800, Australia
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12
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Hernández-Hernández AM, Siqueiros-García JM, Robles-Belmont E, Gershenson C. Anger while driving in Mexico City. PLoS One 2019; 14:e0223048. [PMID: 31568529 PMCID: PMC6768538 DOI: 10.1371/journal.pone.0223048] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 09/12/2019] [Indexed: 11/18/2022] Open
Abstract
This study aims to analyze the level of anger developed by drivers in Mexico City and also understand the behavior that those drivers use to express that anger, using four different survey methods. The first focuses on personal information, the second Driving Anger Expression Inventory (DAX), the third refers to a shorten version of Driving Anger Scale (DAS) and the fourth being the Dula Dangerous Driving Index (DDDI). These have previously been applied and validated in several different countries. The questionnaires were filled out online by 626 drivers. Using the data collected through the online platform, it was possible to identify the kind of reactions volunteers displayed while driving. Also, it was possible to identify that people in Mexico City developed anger depending on their driving area. Our analyses shows that in the Adaptive/Constructive Expression subscale, males and females show a significant difference in their mean score, with women express their anger in a more constructive way than males.
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Affiliation(s)
- Ana María Hernández-Hernández
- Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Ciudad de México, Distrito Federal, México
| | - Jesús M Siqueiros-García
- Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Ciudad de México, Distrito Federal, México
| | - Eduardo Robles-Belmont
- Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Ciudad de México, Distrito Federal, México
| | - Carlos Gershenson
- Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Ciudad de México, Distrito Federal, México.,Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Ciudad de México, Distrito Federal, México.,ITMO University, St. Petersburg, Russia Federation
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Li S, Zhang T, Sawyer BD, Zhang W, Hancock PA. Angry Drivers Take Risky Decisions: Evidence from Neurophysiological Assessment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16101701. [PMID: 31096546 PMCID: PMC6572592 DOI: 10.3390/ijerph16101701] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Revised: 05/11/2019] [Accepted: 05/12/2019] [Indexed: 01/19/2023]
Abstract
The present study investigated the risk-taking behaviors of angry drivers, which were coincidentally measured via behavioral and electroencephalographic (EEG) recordings. We manipulated a driving scenario that concerned a Go/No-Go decision at an intersection when the controlling traffic light was in its yellow phase. This protocol was based upon the underlying format of the Iowa gambling task. Variation in the anger level was induced through task frustration. The data of twenty-four drivers were analyzed via behavioral and neural recordings, and P300 was specifically extracted from EEG traces. In addition, the behavioral performance was indexed by the percentage of high-risk choices minus the number of the low-risk choices taken, which identified the risk-taking propensity. Results confirmed a significant main effect of anger on the decisions taken. The risk-taking propensity decreased across the sequence of trial blocks in baseline assessments. However, with anger, the risk-taking propensity increased across the trial regimen. Drivers in anger state also showed a higher mean amplitude of P300 than that in baseline state. Additionally, high-risk choices evoked larger P300 amplitude than low-risk choices during the anger state. Moreover, the P300 amplitude of high-risk choices was significantly larger in the anger state than the baseline state. The negative feedback induced larger P300 amplitude than that recorded in positive feedback trials. The results corroborated that the drivers exhibited higher risk-taking propensity when angry although they were sensitive to the inherent risk-reward evaluations within the scenario. To reduce this type of risk-taking, we proposed some effective/affective intervention methods.
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Affiliation(s)
- Shuling Li
- State Key Laboratory of Automotive Safety and Energy, Department of Industrial Engineering, Tsinghua University, Beijing 100084, China.
| | - Tingru Zhang
- Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China.
| | - Ben D Sawyer
- Department of Industrial Engineering & Management Systems, University of Central Florida, Orlando, FL 32816, USA.
| | - Wei Zhang
- State Key Laboratory of Automotive Safety and Energy, Department of Industrial Engineering, Tsinghua University, Beijing 100084, China.
| | - Peter A Hancock
- Department of Psychology, University of Central Florida, Orlando, FL 32816, USA.
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Montoro L, Useche S, Alonso F, Cendales B. Work Environment, Stress, and Driving Anger: A Structural Equation Model for Predicting Traffic Sanctions of Public Transport Drivers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018. [PMID: 29534530 PMCID: PMC5877042 DOI: 10.3390/ijerph15030497] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Public transport is an effective and sustainable alternative to private vehicle usage, also helping to reduce the environmental impact of driving. However, the work environment of public transport operators is full of adverse conditions, which, together with their high mileage, may increase the occurrence of negative safety outcomes such as traffic accidents, often preceded by risky road behaviors enhanced by stress, anger, and difficult operating conditions. The aims of this study were, first, to determine the association between work-related psychosocial factors and individual characteristics of public transport drivers and the rate of traffic sanctions they are subject to; and second, to assess the mediation of driving anger in this relationship. A sample of professional drivers (57.4% city bus, 17.6% taxi, and 25% inter-urban bus male operators) was used for this cross-sectional study, responding to a five-section survey including demographic data and driving-related factors, psychosocial work factors including job stress, driving stress, risk predisposition, and driving anger. The results of this study showed significant associations between work-related factors: measures of stress and self-reported rates of traffic fines. Second, it was found that driving anger mediates the associations between driving stress, risk predisposition, and traffic sanctions; and partially mediates the association between driving experience, hourly intensity, and job stress. This study supports the idea that traffic penalties reported by public transport rates are preceded by work-related, personality, and other individual factors that, when combined with driving anger, enhance the occurrence of road misbehavior that may affect overall road safety.
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Affiliation(s)
- Luis Montoro
- FACTHUM Lab (Human Factor and Road Safety) Research Group, INTRAS (Research Institute on Traffic and Road Safety), University of Valencia, 46022 Valencia, Spain.
| | - Sergio Useche
- DATS (Development and Advising in Traffic Safety) Research Group, Faculty of Psychology, INTRAS (Research Institute on Traffic and Road Safety), University of Valencia, 46022 Valencia, Spain.
| | - Francisco Alonso
- DATS (Development and Advising in Traffic Safety) Research Group, Faculty of Psychology, INTRAS (Research Institute on Traffic and Road Safety), University of Valencia, 46022 Valencia, Spain.
| | - Boris Cendales
- Faculty of Economic and Administrative Sciences, El Bosque University, Bogotá 110121, Colombia.
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15
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Feng Z, Yang M, Ma C, Jiang K, Lei Y, Huang W, Huang Z, Zhan J, Zhou M. Driving anger and its relationships with type A behavior patterns and trait anger: Differences between professional and non-professional drivers. PLoS One 2017; 12:e0189793. [PMID: 29253004 PMCID: PMC5734738 DOI: 10.1371/journal.pone.0189793] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2017] [Accepted: 12/02/2017] [Indexed: 11/19/2022] Open
Abstract
The present study examined the types of situations that caused Chinese professional and non-professional drivers to become angry and investigated the differences in driving-elicited anger, considering the influences of type A behavior pattern and trait anger between the two groups. The 20-item revised Driving Anger Scale (DAS) was used to assess a sample of 232 drivers (57% professional, 43% non-professional). The non-professional drivers reported significantly higher levels of anger than the professional drivers on the overall Driving Anger Scale (DAS) and the traffic obstructions and discourtesy subscales. In both groups, the preferred driving speeds were positively related to driving anger. Furthermore, drivers with a type A personality exhibited higher overall driving anger scores and higher anger scores in response to traffic obstructions and slow driving than drivers with a type B personality. Trait anger was significantly related to driving anger in both groups. In the non-professional group, type A behavior patterns (TABPs) and time hurry (TH) were positively correlated with anger evoked by slow driving. In the professional group, TABPs, TH and competitive hostility (CH) were positively related to driving anger, and the TABPs exerted an indirect effect on driving anger by mediating the influence of trait anger. Overall, these findings provide a theoretical basis for implementing targeted interventions for driving anger in both professional and non-professional drivers.
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Affiliation(s)
- Zhongxiang Feng
- School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei, Anhui, PR China
- * E-mail:
| | - Miaomiao Yang
- School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei, Anhui, PR China
| | - Changxi Ma
- School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, Gansu, PR China
| | - Kang Jiang
- School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei, Anhui, PR China
| | - Yewei Lei
- School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei, Anhui, PR China
| | - Wenjuan Huang
- School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei, Anhui, PR China
| | - Zhipeng Huang
- School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei, Anhui, PR China
| | - Jingjing Zhan
- School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei, Anhui, PR China
| | - Muxiong Zhou
- Traffic Management Research Institute of the Ministry of Public Security, Wuxi, Jiangsu, PR China
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16
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Li F, Wang G, Li Y, Zhou R. Job demands and driving anger: The roles of emotional exhaustion and work engagement. ACCIDENT; ANALYSIS AND PREVENTION 2017; 98:198-205. [PMID: 27760407 DOI: 10.1016/j.aap.2016.10.013] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 09/06/2016] [Accepted: 10/09/2016] [Indexed: 06/06/2023]
Abstract
This study aimed to examine the effects of both hindrance and challenge demands on driving anger within the framework of the job demands-resources (JD-R) model. We collected self-reported data from 411 office workers driving to and from work each day in five cities in China. The results from a structural equation modeling analysis indicated that both hindrance and challenge demands were positively related to emotional exhaustion, which was in turn positively correlated with driving anger. Moreover, work engagement was positively correlated with driving anger. Implications of the present findings regarding both the JD-R model and driving safety research are discussed.
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Affiliation(s)
- Feng Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, No.16 LinCui Road, ChaoYang, Beijing, 100101, PR China.
| | - Guangxi Wang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, No.16 LinCui Road, ChaoYang, Beijing, 100101, PR China.
| | - Yongjuan Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, No.16 LinCui Road, ChaoYang, Beijing, 100101, PR China.
| | - Ronggang Zhou
- School of Economics and Management, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing, 100191, PR China.
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Stephens AN, Hill T, Sullman MJM. Driving anger in Ukraine: Appraisals, not trait driving anger, predict anger intensity while driving. ACCIDENT; ANALYSIS AND PREVENTION 2016; 88:20-28. [PMID: 26710267 DOI: 10.1016/j.aap.2015.11.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2015] [Revised: 10/02/2015] [Accepted: 11/16/2015] [Indexed: 06/05/2023]
Abstract
Trait driving anger is often, but not always, found to predict both the intensity of anger while driving and subsequent crash-related behaviours. However, a number of studies have not found support for a direct relationship between one's tendency to become angry and anger reported while driving, suggesting that other factors may mediate this relationship. The present self-report study investigated whether, in anger provoking driving situations, the appraisals made by drivers influence the relationship between trait and state anger. A sample of 339 drivers from Ukraine completed the 33-item version of the Driver Anger Scale (DAS; Deffenbacher et al., 1994) and eight questions about their most recent experience of driving anger. A structural equation model found that the intensity of anger experienced was predicted by the negative evaluations of the situation, which was in turn predicted by trait driving anger. However, trait driving anger itself did not predict anger intensity; supporting the hypothesis that evaluations of the driving situation mediate the relationship between trait and state anger. Further, the unique structure of the DAS required to fit the data from the Ukrainian sample, may indicate that the anger inducing situations in Ukraine are different to those of a more developed country. Future research is needed to investigate driving anger in Ukraine in a broader sample and also to confirm the role of the appraisal process in the development of driving anger in both developed and undeveloped countries.
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Affiliation(s)
- A N Stephens
- Accident Research Centre, Monash University, Clayton, Australia
| | - T Hill
- National Aviation University, Kiev, Ukraine.
| | - M J M Sullman
- Driving Research Group, Cranfield University, Bedfordshire, UK
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Ge Y, Qu W, Jiang C, Du F, Sun X, Zhang K. The effect of stress and personality on dangerous driving behavior among Chinese drivers. ACCIDENT; ANALYSIS AND PREVENTION 2014; 73:34-40. [PMID: 25171523 DOI: 10.1016/j.aap.2014.07.024] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2014] [Revised: 07/10/2014] [Accepted: 07/21/2014] [Indexed: 06/03/2023]
Abstract
The relationship between stress and road safety has been studied for many years, but the effect of global stress and its joint effect with personality on driving behavior have received little attention in previous studies. This study aimed to elucidate the impact of global stress and various personality traits on driving behavior. 242 drivers completed the Perceived Stress Scale-10 (PSS-10), the Dula Dangerous Driving Index (DDDI), and several personality trait scales related to anger, sensation seeking, and altruism. The results showed that perceived stress and sensation seeking were significantly correlated with the four subcategories of dangerous driving behavior, namely, negative cognitive/emotional driving (NCED), aggressive driving (AD), risky driving (RD), and drunk driving (DD). Moreover, anger was positively correlated with negative cognitive/emotional driving, aggressive driving, and risky driving, and altruism was negatively correlated with aggressive driving and drunk driving. Hierarchical multiple regressions were applied to analyze the mediating effect of personality traits, and the results showed that anger mediated the relationship between stress and dangerous driving behavior and that this mediating role was especially strong for negative cognitive/emotional driving and aggressive driving. Collectively, the results showed that stress is an important factor that can affect people's driving behavior but that personality traits mediate the effect of stress on driving behavior. The findings from this study regarding the relationship among stress, anger, and dangerous driving behavior could be applied in the development of intervention programs for stress and anger management in order to improve drivers' ability to manage emotional thoughts and adjust their behavior on the road.
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Affiliation(s)
- Yan Ge
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, China
| | - Weina Qu
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, China.
| | - Caihong Jiang
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, China
| | - Feng Du
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, China
| | - Xianghong Sun
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, China
| | - Kan Zhang
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, China
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Driving anger in China: Psychometric properties of the Driving Anger Scale (DAS) and its relationship with aggressive driving. PERSONALITY AND INDIVIDUAL DIFFERENCES 2014. [DOI: 10.1016/j.paid.2014.04.018] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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