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Showing 4 results for Drivers

Mahdi Ebnali Heidari, Kamal Azam, Ahmadreza Nazeri, Majid Ebnali Heidari, Alireza Shateri,
Volume 4, Issue 4 (3-2017)
Abstract

Introduction: Driving is a complex task engaging high level of cognitive and motor processes. Adding to this complexity, engagement in cognitive secondary tasks such as talking with other passengers, speaking on the cell phone or listening to radio may effect driving performance. In addition, age-related cognitive limitations may adversely challenge driving performance. As the number of elderly drivers is rising, it is important to pay more attention to this matter.

Methods: The effects of cognitive secondary tasks on driving performance were explored through two on-road experiments (with and without listening to a recorded dialogue). In this study thirty-two individuals (male, M = 72.6, SD = 5.43) voluntarily took part in the experiments. The mean driving speed, duration of driving in unsafe-zones, numbers of overtaking, and deviation of lateral lane position were recorded, adopting a radar system and video camera. After determination of the normality of data, paired t test and correlation analysis were conducted.

Results: Mean driving speed (P < 0.05), duration of driving in an unsafe zone (P < 0.05), and numbers of overtaking (P < 0.001) showed considerable reduction of participantsengagement in listening to the recorded dialogue. In contrast, mean deviation of lateral lane position increased.

Conclusions: The findings revealed that driving performance of elderly drivers was effected when listening to a recorded dialogue. However, in order to increase driving safety, they adopted some compensating strategies.


Mohsen Aliabadi, Ramin Rahmani, Ebrahim Darvishi, Maryam Farhadian, Masoud Shafiee Motlagh, Neda Mahdavi,
Volume 9, Issue 3 (12-2021)
Abstract

Background: Exposure to vibration is one of the occupational agents that causes a variety of health effects. The aim of this study was to determine the association between exposure to human vibration and the physical performance of mining drivers.
Methods: In the present study, 65 drivers working in one of the Iron Ore mines, were asked to complete the standard questionnaire for assessing the level of disability of the arm, shoulder and hand (DASH). Exposure to human vibration was measured using Svantek 106 vibrometer. Drivers' physical performance was assessed based on grip strength, Pegboard dexterity, and monofilament finger sensory tests. Data were analyzed using SPSS 21 software.
Results: The average vibration acceleration whole body (WBV) and hand-arm (HAV) were 1.00±0.23 and 2.46±0.68 m/s2 respectively. There was a significant relationship between exposure to HAV and grip strength and hand dexterity (p <0.05). According to the DASH score, 56.9% of drivers had mild and 43.1% had moderate upper limb disability. The results of the multiple regression model with a coefficient of determination of 0.207 showed that the WBV in the presence of other predictor variables had a significant effect on DASH score (p<0.05).
Conclusion: In mining truck drivers, WBV exposure was higher and HAV exposure was lower than the national exposure limits. The results confirmed that WBV caused by mining trucks is the most important risk factor affecting the level of drivers' disability.

Ehsan Houshyar, Hadi Daneshmandi,
Volume 9, Issue 4 (3-2022)
Abstract

Background and Objectives: Among the various agricultural activities, working and driving with farm tractors in different weather conditions lead to fatigue and burnout. The objective of this study was to evaluate the sleep quality of farm tractors drivers in different weather conditions.
Methods: Amongst tractor drivers in Behbahan, Eqlid, and Kavar, 90 participants (Kavar: 27; Eqlid: 33; Behbahan: 30) were selected. The required data was gathered using the demographic characteristics questionnaire and standard questionnaire Pittsburgh Sleep Quality Index (PSQI). We used Kruskal-Wallis and Post-hoc pairwise comparison tests to analyze the data (α = 0.05).
Results: The results showed that there were no significant differences in sleep quality and sleep quality parameters between different region tractors drivers (P > 0.05); but there were significant differences in mental sleep quality (P = 0.001), in terms of delays in falling asleep (P = 0.02), going to sleep duration (P = 0.04) and between Kavar and Behbehan tractor drivers, and also there are significant differences in going to sleep duration (P = 0.04) between Kavar and Eqlid tractor drivers.
Conclusion: Working in critical cold weather (like nights in Eqlid) or critical hot weather (like noon in Behbahan) should be strongly forbidden by providing with a suitable working schedule especially while tractor drivers without driver’s cabin. Drivers’ cabins safeguards drivers against temperature, wind and dust, and, therefore increase their comfort and sleep quality.

Fatemeh Alibeygian, Hamidreza Mokarami, Reza Kazemi,
Volume 12, Issue 2 (7-2024)
Abstract

Objectives: The current qualitative study aimed to understand the factors affecting the optimal performance of bus drivers using the macro ergonomics approach and the work systems model. This topic is important as it addresses significant gaps in the existing literature regarding the ergonomic and systemic factors influencing driver performance.
Methods: In this study, 13 in-depth interviews were conducted with bus drivers. A qualitative content analysis of the data was performed using MAXQDA2020 software after data collection. Codes were extracted based on nine categories of factors affecting performance related to the five components of the work system: organizational, individual, environmental, task, and technology.
Results: The analysis revealed that employees reported low performance mainly due to organizational structural problems and managerial characteristics. These findings highlight the critical role of organizational factors in driver performance.
Conclusion: The results indicate that ergonomic interventions targeting organizational structural issues and managerial practices could significantly improve the performance and satisfaction of bus drivers. The insights gained from this research can inform practical interventions to improve the working conditions and overall performance of this occupational group. These findings contribute to the field by providing a direction for enhancing the work system to better support driver performance.


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