Investigating the predictive of risk-taking attitudes and behaviors among Iranian drivers

Exploring the Knowledge and Attitude of the Taxi Drivers in the Field of Traffic Rules and Regulations

Background. In all countries, the knowledge of driving guidelines is the most important and critical mechanism to ensure the safety of drivers. Naturally, it is expected that more knowledge and attitude towards driving laws would result in fewer driving violations. The aim of this research is to investigate both the knowledge and attitude of taxi drivers in the field of traffic rules and regulations in Shiraz city, Fars province, in 2019. Methods. This research is a cross-sectional study, based on which about 1077 taxi drivers were randomly chosen in Shiraz city, Iran. The data collection tool is a demographic information questionnaire and a questionnaire on driving guidance. After collecting these questionnaires, the obtained data were entered into SPSS version 20 and then analyzed by descriptive analyses (mean, standard deviation, and percentage). Afterward, the independent t-test, one-way ANOVA, and Pearson correlation coefficient are implemented and investigated. Results. The mean and standard deviation of knowledge score in drivers were about 26.8 ± 55.2 while the mean and standard deviation of drivers’ attitude were about 98.16 ± 59.3. The results showed that there was a significant relationship between the variables studied (R = −0.07; $P=0.02$ ) and drivers’ attitudes toward driving ( $P=0.01$ ). Conclusion. The results of this research show that the mean scores of knowledge and attitude of taxi drivers in Shiraz city are moderate in terms of driving rules and regulations; moreover, among taxi drivers of increasing age, the average score of knowledge was lower.

Opinions of taxi drivers regarding occupational risks and prevention strategies: A cross- sectional study in Turkey

BACKGROUND: Taxi drivers are prone to musculoskeletal problems and can suffer from cardiovascular disease, respiratory disease, and psychosocial problems. For occupational health and safety it is crucial to know the risk factors and initiatives to be taken for protection. OBJECTIVES: This study was carried out to evaluate the opinions of taxi drivers regarding occupational risks and prevention strategies. METHODS: This was a descriptive and cross-sectional study including 524 taxi drivers. A questionnaire was developed to determine the opinions of taxi drivers regarding occupational risks and intervention strategies. For the analysis of data, Mann-Whitney U (Z-table value), descriptive statistics (number, percentage) and Chi-square (χ2) test between dependent and independent variables were used. RESULTS: Among the taxi drivers, the occupation was reported to be risky for musculoskeletal system disorders by 67%, for cardiovascular diseases by 68.3%, for respiratory diseases by 46.9% and for psychosocial problems by 63.3%. When the opinions of taxi drivers regarding prevention from these risks were examined, 30.2% of them stated prevention from musculoskeletal system disorders, 34.0% from cardiovascular diseases, 31.3% from respiratory diseases and 40.1% from psychosocial problems. It was a prominent finding to see a decrease in the number of drivers who stated to show prevention behavior towards these risks compared to their states of recognizing them. CONCLUSİON: Drivers were insufficient both in recognizing health risks of their jobs and implementing intervention strategies. Education concerning health risks of their jobs and prevention from these risks is required.

Assessing the Australian occupational driver behavior questionnaire in U.S. taxi drivers: Different country, different occupation and different worker population

BACKGROUND

Promoting safe driver behaviors is an important aspect of road safety. To better understand road safety behaviors, there is a role for practical instruments that can validly measure typical road safety behaviors among occupational drivers. The Occupational Driver Behavior Questionnaire (ODBQ) was developed to assess road safety behaviors among home health nurses in Australia.

METHODS

We administered a cross-sectional survey to a sample of taxi drivers in two U.S. metropolitan areas. The survey included Newnam's ODBQ-12 and a study-specific 15-item version (ODBQ-15) assessing 4 different road safety behaviors with 3 more items added and motor-vehicle crashes in the past year. Logistic regression analyses examined the association of the road safety behaviors with motor vehicle crashes. A series of confirmatory factor analysis (CFA) models assessed the construct validity of the ODBQ-12 and ODBQ-15.

RESULTS

We pooled survey data from 497 Houston drivers and 500 Los Angeles drivers to assess study aims. CFA models examining the 12-item and the 15-item ODBQ versions had good model fit (Comparative Fit Index > 0.95, Tucker Lewis Index ≥ 0.95, root mean square error of approximation < 0.06, standardized root mean square residual ≤ 0.05). The ODBQ's road safety behaviors were significantly associated (p < 0.001) with crashes while working (ORs 0.51-0.75) and not working (ORs 0.57-0.84).

CONCLUSIONS

The ODBQ-12 and ODBQ-15 were both significantly associated with motor vehicle crashes among taxicab drivers in two large U.S. metropolitan areas. Researchers studying occupational drivers who transport passengers may want to consider using the ODBQ-15. The 3 additional items are meaningful to this workforce and are priority areas for international road safety efforts.

Dimensions of aberrant driving behaviors and their association with road traffic injuries among drivers

Objective

Road traffic injuries (RTIs) are recognized as one of the most important causes of morbidity and mortality throughout the world, especially in developing countries. Human behavior is reportedly one of the critical factors in the occurrence of such injuries. The purpose of this study is to evaluate the correlation of abnormal driving behaviors with the frequency and severity of RTIs among drivers in Hamadan, west of Iran.

Methods

The present cross-sectional study was conducted on 800 people driving, who were selected by multistage cluster sampling technique. Data were collected using a three-part self-administered questionnaire including demographic, social and driving characteristics; the Manchester driver behavior questionnaire (DBQ); as well as information on a history of the occurrence of the injuries caused by the crashes and the severity of them. Data were statistically analyzed using numerical indices, linear regression analysis, Pearson correlation, ordinal logistic regression model and multinomial logistic regression.

Results

The highest and lowest mean percentages of abnormal driving behavior were related to unintentional violations (19.13) and Lapses (16.44), respectively. "Changing radio stations and listening to music while driving", "overtaking a driver who drives slowly", and "unintentionally exceeding the speed limit" were the three highest behaviors associated with road traffic injuries, with the mean and standard deviation of (1.93 ± 1.4), (1.90±1.4), (1.58±1.3), respectively. Age, gender, educational level, driving experience and driving hours during the day were significantly associated with DBQ dimensions and severity of road traffic injuries.

Conclusions

The results of this study showed that socio-demographic characteristics were significantly correlated with driving behavior. In addition, driving behaviors were correlated with traffic crashes and the resulting injuries. The findings of this study can be utilized to develop driving behavior interventions among the drivers.

The Cognitive and Psychological Factors (Personality, Driving Behavior, and Mental Illnesses) As Predictors in Traffic Violations

Objective: Driving is a complex behavior and is affected by several factors. This cohort study aimed at representing the main determinants such as personality features, driving behavior, and mental illnesses on driving violation based on logistic regression. Method: In this cohort study, 800 heavy truck and lorry drivers were recruited. Participants were selected from those individuals who referred to Imam Sajjad hospital in Tehran, Iran during fall 2013 to summer 2015. Manchester Driving Behavior Questionnaire (MDBQ), Big Five Personality Test (NEO Personality Inventory), and SADS (Semi-Structural Interview) were used in this study. After 2 years, we checked all traffic violations caused by human factors involving the drivers. SPSS Version 18 was used for data analysis; t test and logistic regression (OR) was also used. Results: The findings of the present study revealed significant differences between the 2 groups of drivers (those who were and were not involved in driving offenses) with respect to controlling the effective and demographic variables. Moreover, it was found that depression and anxiety could increase the chance of accidents (2.4 and 2.7 accidents odds, respectively) (P = 0.04, P = 0.004). Furthermore, just neuroticism could increase 1.1 odds of traffic offences (P = 0.009), but other personality traits did not have an effect on the equation. Conclusion: Consistent with previous examinations, some mental disorders may affect traffic violations. Considering the magnitude and sensitivity of driving behavior, it is essential to evaluate multiple psychological factors in drivers before and after receiving or renewing their driver's licenses.

A survey of the relationship between work schedule and its effect on the fatigue of rescue personnel in Isfahan with a standard method of CIS202

CONTEXT

Fatigue is a factor that can have negative effects on family life, social relationship and work. Work schedule is one of the affective factors on personnel's fatigue in different jobs. In this study, the work schedule and its effect on rescue personnel in Isfahan are explored.

AIMS

The purpose of this study was to investigate the relationship between work schedules and fatigue among rescue personnel.

SETTINGS AND DESIGN

This study is periodical and has been conducted on 72 employees of rescue personnel in Isfahan.

MATERIALS AND METHODS

Random sampling was done and the primary data that was collected through fatigue assessment questionnaire after being conducted as a pilot study on 10% of samples were collected to confirm the validity of this study. Finally, the data was given to SPSS11.5 software and were analyzed by descriptive statistics and linear digression.

RESULTS

The results showed that from the statistical point of view some parts of work schedules like work hours satisfaction, resting time and work order on total fatigue are effective in linear and inverse way but the item "predictibility of work conditions" does not have a meaningful relationship with total fatigue. Furthermore, the results showed that there is a meaningful and inverse relationship with work hours, resting time and work order with mental fatigue and also the work schedule has a meaningful, linear and inverse relation with mental fatigue and total fatigue.

CONCLUSIONS

By increasing the satisfaction of working hours, increasing resting time and also with an increase of work order the total fatigue of rescue personnel will decrease.