Background: Distraction is one of the main driver's behavioral factors that reduces the performance of the drivers and might increase the accident risk. Distraction while driving holds significant importance, especially among professional drivers, and failure to address this matter may result in adverse implications for traffic safety. The present study was conducted to investigate distraction and related risk factors between two groups of private vehicle drivers and taxi drivers.
Methods: This analytical cross-sectional study was carried out in Tabriz, Iran in 2022. The total sample size in this study was 701 taxi drivers, professional drivers, and private vehicle drivers. The independent samples was used to determine the statistically significant difference between groups and its sub-scales between the two studied groups. Moreover, the multivariable linear regression analysis was used to determine the predictors that affect distraction score. The test's level of significance was considered at 0.05.
Results: The mean distraction score among taxi drivers surpasses that of private vehicle drivers (2.82 vs. 2.32, p-value<0.05). The drivers with negative scores, over the past year, among private vehicle drivers and taxi drivers were 2.5 % and 5.2 %, respectively (p-value<0.05). A group of taxi drivers exhibits a higher level of distraction while driving and the mean distraction score for private vehicle drivers is lower than that of taxi drivers (β = -0.11, CI 95 %: 0.17, -0.05). Also, a history of damage or injury accidents has a significant impact on distraction while driving (β = 0.12, CI 95 %; 0.06-0.17).
Conclusions: The results indicate that distraction while driving is high amongst taxi drivers rather than private vehicle drivers. To have effective driver safety promotion interventions, it is recommended to consider driver distraction based on professional and non-professional drivers.
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http://dx.doi.org/10.1016/j.heliyon.2024.e31530 | DOI Listing |
Adv Radiat Oncol
February 2025
College of Medicine, University of the Philippines, Manila, Philippines.
Purpose: Travel burden negatively impacts the stage at diagnosis, treatment, outcome, and quality of life among patients with cancer. Travel burden-quantified as distance, time, and cost of travel-is magnified in low- and middle-income countries like the Philippines, where radiation therapy (RT) resources are lacking and are inequitably distributed.
Methods And Materials: We compared Philippine Radiation Oncology Society data and the population census to determine the distribution and density of RT facilities across the country's 17 regions.
Environ Sci Technol
January 2025
School for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan 48109, United States.
The use of transportation network companies (TNCs), such as Uber and Lyft, is widespread in many US cities, including those with good transit. However, transit use produces smaller externalities relative to private vehicles and is cheaper but can increase travel time. Here we compare the benefits and costs of real TNC trips in Chicago to a counterfactual in which they are performed by transit.
View Article and Find Full Text PDFInt J Crit Illn Inj Sci
December 2024
Department of Trauma and Emergency, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Background: Train collision accidents are tragic events associated with high mortality. The study aimed to comprehensively describe the clinical-epidemiological profile, disaster emergency response, and management following a train collision accident in Odisha, India.
Methods: This observational study was conducted by a tertiary care hospital in eastern India.
Cureus
December 2024
Emergency Medicine Department, Aga Khan University, Karachi, PAK.
Background: Road traffic injuries (RTIs) are currently the ninth most common cause of mortality and are expected to increase in the future. RTIs rank in the top three reasons why young people die. Because of the high incidence and mortality risk, proper trauma care has been prioritized for RTI patients who present to the emergency department.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Urban Construction and Transportation, Hefei University, Hefei 230601, China.
Unlicensed taxis seriously disrupt the transportation market order, and threaten passenger safety. Therefore, this paper proposes a method for identifying unlicensed taxis based on travel characteristics. First, the vehicle mileage and operation time are calculated using traffic surveillance bayonet data, and variance analysis is applied to identification indicators for unlicensed taxis.
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