To see the other types of publications on this topic, follow the link: Truck drivers.
Journal articles on the topic 'Truck drivers'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Truck drivers.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Khan, Waleed A., and Aemal J. Khattak. "Injury Severity of Truck Drivers in Crashes at Highway-Rail Grade Crossings in the United States." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 10 (June 11, 2018): 38–47. http://dx.doi.org/10.1177/0361198118781183.
Full textAbstract:
The physical and operational characteristics of large trucks distinguish them from other types of vehicles in terms of facility design needs and safety requirements. A critical node in the surface transportation network is the highway-rail grade crossing (HRGC) because it represents a conflict point between different modes of transportation. The focus of this research was to identify factors related to different injury severity levels of truck/truck-trailer drivers in crashes reported at HRGCs. This study utilized a mixed logit model to investigate injury severity of those drivers and relied on 2007–2014 Federal Railroad Administration (FRA) crash and inventory data involving trucks/truck-trailers. Results showed that truck/truck-trailer drivers’ injuries in crashes reported at HRGCs were positively associated with train speed, when train struck the road user (truck/truck-trailer), when the driver “went around crossing gates”, older drivers, crashes reported in rural areas, and crashes at crossings with a minimum crossing angle of 60–90 degrees. Presence of crossbucks, gates, track obstructions, and HRGCs located within 500 feet of a highway were associated with relatively less severe driver injuries. The paper provides recommendations for safety improvements at HRGCs and recommendations for future research.
2
Wu, Lan, Qi Shen, and Gen Li. "Identifying Risk Factors for Autos and Trucks on Highway-Railroad Grade Crossings Based on Mixed Logit Model." International Journal of Environmental Research and Public Health 19, no. 22 (November 16, 2022): 15075. http://dx.doi.org/10.3390/ijerph192215075.
Full textAbstract:
This study aimed to determine different influencing factors associated with the injury outcomes of heavy vehicle and automobile drivers at highway–rail grade crossings (HRGCs). A mixed logit model was adopted using the Federal Railroad Administration (FRA) dataset (n = 194,385 for 2011–2020). The results show that drivers’ injury severities at HRGCs are enormously different between automobile and truck/truck–trailer drivers. It was found that vehicle speed and train speed significantly affect the injury severity in automobile and truck drivers. Driver characteristics such as gender and driver actions significantly impact the injury severity in automobile drivers, while HRGC attributes such as open space, rural areas, and type of warning device become significant factors in truck models. This study gives us a better understanding of the differences in the types of determinants between automobiles and trucks and their implications on differentiated policies for car and truck drivers.
3
Freire, Melissa R., Cassandra Gauld, Angus McKerral, and Kristen Pammer. "Identifying Interactive Factors That May Increase Crash Risk between Young Drivers and Trucks: A Narrative Review." International Journal of Environmental Research and Public Health 18, no. 12 (June 16, 2021): 6506. http://dx.doi.org/10.3390/ijerph18126506.
Full textAbstract:
Sharing the road with trucks is associated with increased risk of serious injury and death for passenger vehicle drivers. However, the onus for minimising risk lies not just with truck drivers; other drivers must understand the unique performance limitations of trucks associated with stopping distances, blind spots, and turning manoeuverability, so they can suitably act and react around trucks. Given the paucity of research aimed at understanding the specific crash risk vulnerability of young drivers around trucks, the authors employ a narrative review methodology that brings together evidence from both truck and young driver road safety research domains, as well as data regarding known crash risks for each driving cohort, to gain a comprehensive understanding of what young drivers are likely to know about heavy vehicle performance limitations, where there may be gaps in their understanding, and how this could potentially increase crash risk. We then review literature regarding the human factors affecting young drivers to understand how perceptual immaturity and engagement in risky driving behaviours are likely to compound risk regarding both the frequency and severity of collision between trucks and young drivers. Finally, we review current targeted educational initiatives and suggest that simply raising awareness of truck limitations is insufficient. We propose that further research is needed to ensure initiatives aimed at increasing young driver awareness of trucks and truck safety are evidence-based, undergo rigorous evaluation, and are delivered in a way that aims to (i) increase young driver risk perception skills, and (ii) reduce risky driving behaviour around trucks.
4
Koralewski, Grzegorz, Iga Karolak, Michał Koralewski, and Rafał Wrona. "Compliance with traffic safety regulations in road freight transport." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 20, no. 1-2 (February 28, 2019): 287–94. http://dx.doi.org/10.24136/atest.2019.052.
Full textAbstract:
The paper discuss the issues of safe transport of goods by road transport in the aspect of constantly increasing traffic intensity. The aspiration of the transport companies owners is to maximize profits even at the price of non-compliance with applicable traffic regulations, especially in the field of drivers' working hours. It often causes dangerous traffic situations, resulting in accidents, and their main cause is driver fatigue. The paper presents research regarding the knowledge of traffic regulations, in particular on the applicable standards of working time for truck drivers. The most frequent causes of violation of driver's working time frame caused by the drivers themselves, as well as forced by transport companies owners, forwarders or dispatchers were subject to the research. The ergonomic conditions of the driver’s cabin and trucks equipment as well as the health consequences of professional drivers were also analyzed.
5
Rassafi, Amir Abbas, Mirbahador Yazdani, and Bahram Shirini. "Cross Sectional Crash Severity Analysis among Various Vehicle Driver Characteristics." Civil Engineering Journal 4, no. 9 (September 30, 2018): 2143. http://dx.doi.org/10.28991/cej-03091146.
Full textAbstract:
The current study evaluated road crashes in three categories of drivers: passenger car drivers, heavy vehicle drivers and pickup truck drivers. The crash data of road crashes that occurred from 2009 to 2012 in Iranian suburban roads were analyzed. The crashes involved 194,041 damage, 9,677 injury and 1,303 fatality crashes. Because of the ordinal nature of crash severity, ordered logit model was selected for each vehicle driver category. In the passenger car driver category, the independent variables of driver’s gender, driver’s age and driver’s educational level (uneducated, less than high school diploma, high school diploma) were obtained for modeling; in the heavy vehicle driver category, the independent variables of driver’s age and driver’s educational level (uneducated, less than high school diploma) were obtained for modeling, and in the pickup truck driver category, the independent variables of driver’s age and driver’s educational level (uneducated, high school diploma) were obtained for modeling. The variable of driver’s gender with respect to passenger cars shows that crashes by female drivers are more severe than those involving male drivers in suburban roads. Regarding the variable of driver’s age, if the driver’s age increases in each vehicle driver category, the probability of occurrence of a severe crash will decrease. The variable of driver’s educational level shows that the severity of crashes involving a driver that has a low level of education is more compared with a driver that has a high level of education.
6
Dubey, Rameshwar, and Angappa Gunasekaran. "The role of truck driver on sustainable transportation and logistics." Industrial and Commercial Training 47, no. 3 (April 7, 2015): 127–34. http://dx.doi.org/10.1108/ict-08-2014-0053.
Full textAbstract:
Purpose – The purpose of this paper is to identify traits and skills of a truck driver for sustainable transportation, develop a theoretical framework and outline further research directions. Design/methodology/approach – The present study undertakes a review of extant literature and appreciative inquiry, a quasi-ethnographic approach to identify traits and skills of a truck driver. Further, using a pragmatic approach, a theoretical framework has been developed. Findings – The study proposes a theoretical framework, which can be further used for formulating training modules for truck drivers for sustainable transportation and logistics. Research limitations/implications – The present framework needs to be statistically validated using survey data and second, the proposition of the theoretical framework needs to be tested using hierarchical regression analysis. Second, in the study the authors have used AI. However, the authors have only interviewed selected senior police officials. This may lead to bias and to further strengthen the present study, one needs to identify other regulatory authorities and human resource managers of transportation companies. However, in Indian subcontinent situation the trucks are primarily owned by unorganized sector. Hence, the owners may have five to ten trucks and this case there is no human resource manager. However, in such case an interview with truck owners may provide a useful insight. Practical implications – The study has outlined recommendations on the basis of a literature review of extant literature and appreciative inquiry. The recommendations can further help policy makers or technical bodies run by a government agencies or privately managed to develop a training module for truck drivers to meet the future challenges of sustainable transportation. Social implications – This research is related to truck drivers and their welfare as well as how they can contribute to sustainable transportation and logistics. Originality/value – This research attempts to identify traits and skills of a truck driver for a sustainable transportation and logistics, and develops a theoretical framework and outline further research directions. This particular study ventures into new domain (the role of truck driver's role in sustainable logistics and transportation).
7
Lee, Suzanne E., Gary S. Robinson, and John G. Casali. "An Investigation of Temporary Threshold Shift and Noise Dose in Contemporary Commercial Trucks." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, no. 2 (October 1997): 998–1002. http://dx.doi.org/10.1177/107118139704100261.
Full textAbstract:
The Federal Highway Administration (FHWA) currently requires that individuals seeking a commercial driver's license for interstate commerce possess a certain minimal level of hearing. Past studies have shown that truck noise (in certain older vehicles, at least) is loud enough to cause permanent hearing damage if experienced for sufficient durations. There have also been reports that truck drivers have indeed suffered hearing loss, possibly due to their noise exposure. As part of an overall evaluation of the FHWA hearing requirement, pre-and post-workday audiograms were performed on 10 truck drivers to determine whether they suffer a temporary threshold shift (TTS) at the end of the work shift. Dosimeters were used to measure the noise dose for the same 10 drivers. Ten different trucks were used; although the trucks were from three homogenous manufacturer groups, the truck mileage, cargo, and weight variables demonstrated considerable randomness. The results showed that there was no evidence of a TTS among these 10 drivers and that the noise doses experienced by these drivers were all within a range considered safe by OSHA. However, an analysis of pre-work audiograms for 30 truck drivers showed some evidence of a noise-induced permanent threshold shift, when these drivers' audiograms were compared to those of a similar age/gender non-noise exposed population.
8
Oron-Gilad, Tal, and David Shinar. "Driver fatigue among military truck drivers." Transportation Research Part F: Traffic Psychology and Behaviour 3, no. 4 (December 2000): 195–209. http://dx.doi.org/10.1016/s1369-8478(01)00004-3.
Full text
9
Wei, Chien-Hung, Ying Lee, Yu-Wen Luo, and Jyun-Jie Lu. "Incorporating Personality Traits to Assess the Risk Level of Aberrant Driving Behaviors for Truck Drivers." International Journal of Environmental Research and Public Health 18, no. 9 (April 26, 2021): 4601. http://dx.doi.org/10.3390/ijerph18094601.
Full textAbstract:
Economic globalization and the internet economy have resulted in a dramatic increase in freight transportation. Traffic crashes involving trucks usually result in severe losses and casualties. The fatality and injury rates for heavy truck accidents have been 10 times higher than for sedans in Taiwan in recent years. Thus, understanding driving behavior and risk are important for freight carriers. Since personality traits may result in different driving behaviors, the main objective of this study is to apply artificial neural network (ANN) models to predict the frequency of aberrant driving behavior and the risk level of each driver according to drivers’ personality traits. In this case study, relevant information on truck drivers’ personality traits and their tendency to engage in aberrant driving behavior are collected by using respectively a questionnaire and a fleet surveillance system from a truck company. A relative risk level evaluation mechanism is developed considering the frequency and distribution of aberrant driving behavior. The Jenks natural breaks optimization method and the elbow method are adopted to optimally classify 40 truck drivers into 4 aberrant driving behavior levels and 5 driving risk levels. It was found that 5% of drivers were at the highest aberrant driving behavior level, and 7.5% of drivers were at the highest driving risk level. Based on the results, the proposed models show good and stable predictive performance, especially for the class of drivers with excessive rotation speed, hard acceleration, excessive rotation speed, hard deceleration, and driving risk. With the proposed models, the predictive class for aberrant driving behavior and driving risk can be determined by plugging in a driver’s personality traits before or after employment. Based on the prediction results, the manager of a transportation company could plan the training program for each driver to reduce the aberrant driving behavior occurrence.
10
Lotz, Alexander, Nele Russwinkel, and Enrico Wohlfarth. "Take-over expectation and criticality in Level 3 automated driving: a test track study on take-over behavior in semi-trucks." Cognition, Technology & Work 22, no. 4 (March 4, 2020): 733–44. http://dx.doi.org/10.1007/s10111-020-00626-z.
Full textAbstract:
Abstract With the introduction of advanced driving assistance systems managing longitudinal and lateral control, conditional automated driving is seemingly in near future of series vehicles. While take-over behavior in the passenger car context has been investigated intensively in recent years, publications on semi-trucks with professional drivers are sparse. The effects influencing expert drivers during take-overs in this context lack thorough investigation and are required to design systems that facilitate safe take-overs. While multiple findings seem to cohere in passenger cars and semi-trucks, these findings rely on simulated studies without taking environments as found in the real world into account. A test track study was conducted, simulating highway driving with 27 professional non-affiliated truck drivers. The participants drove an automated Level 3 semi-truck while a non-driving-related task was available. Multiple time critical take-over situations were initiated during the drives to investigate four main objectives regarding driver behavior. (1) With these results, comparison of reaction times and behavior can be drawn to previous simulator studies. The effect of situation criticality (2) and training (3) of take-over situations is investigated. (4) The influence of warning expectation on driver behavior is explored. Results obtained displayed very quick time to hands on steering and time to first reaction all under 2.4 s. Highly critical situations generate very quick reaction times M = 0.81 s, while the manipulation of expectancy yielded no significant variation in reaction times. These reaction times serve as a reference of what can be expected from drivers under optimal take-over conditions, with quick reactions at high speed in critical situations.
11
Kudo, Takahiko, and Michael H. Belzer. "Safe rates and unpaid labour: Non-driving pay and truck driver work hours." Economic and Labour Relations Review 30, no. 4 (October 15, 2019): 532–48. http://dx.doi.org/10.1177/1035304619880406.
Full textAbstract:
In the trucking industry, truck drivers’ duties include not only driving trucks but also non-driving labor. However, non-driving work is not necessarily paid. This article analyses how the payment for non-driving duties (non-driving pay) affects truck drivers’ work hours. Using the National Institute for Occupational Safety and Health Long-Haul Truck Driver survey, the study finds that remunerating drivers for non-driving duties decreases drivers’ work hours. Drivers who are paid for their non-driving labor may reach their target earnings in fewer work hours, leading them to refrain from working extremely long hours and more willingly comply with working time regulations. The policy implication is that paying for non-driving labor can prevent drivers from working excessively long hours, mitigating fatigue, and consequent accidents. Thus, pay for non-driving labor may enhance their safety and health.JEL Codes: J33, J28, J31
12
Smidt, Mathew F., Dana Mitchell, and Kristi K. Logan. "The Potential for Effective Training of Logging Truck Drivers." Journal of Agricultural Safety and Health 27, no. 1 (2021): 29–41. http://dx.doi.org/10.13031/jash.14084.
Full textAbstract:
HighlightsCommercial truck drivers are a significant component of the logging workforce, and driver qualifications are an important component of managing risk.Some error types important in crash causation involve cognitive factors, which are effectively addressed by lecture or on-line training.There is evidence for the effectiveness of lecture-type driver training as an intervention for managing fatigue, situational awareness, and driving behavior.Adoption of trained behavior is supported by individual factors, a company safety culture, and supervisor feedback.Abstract. The logging industry relies on owner-operators and employed commercial drivers, who comprise up to 40% of logging employment, to transport products from the forest to the mill gate. Truck drivers are exposed to many of the same risks as logging workers as well as additional risks from vehicle crashes. Vehicle crash risks contribute to risk of personal injury and liability related to public safety, which are critical reasons for enhancing driver qualifications. Driver qualifications can be influenced by hiring better drivers and improving drivers’ skills through training even after they have received their commercial driver’s license. To explore the effectiveness of driver training in the logging industry, we reviewed studies of commercial driver training assessment and training interventions that included lectures (on-line or in-person) as a main component. Decision errors and violations are important in crash causation and involve cognitive skills, which are addressed by this type of training. Additionally, lecture training is more accessible than behind-the-wheel or simulator training for logging operations that employ just a few drivers. In their efforts to improve driver qualifications, large commercial carriers often provide driver training, reinforce the training through monitoring, and rely heavily on driver selection. The literature supports the effectiveness of training related to cognitive factors, including fatigue management, behavior, and situational awareness. Successful lecture training interventions are accompanied by individual feedback or coaching. Training that produces measurable outcomes (behavior or crash risk) is supported by a suite of factors involving the trainee, the training, and the company or supervisor. Keywords: Commercial vehicles, Logging, Training, Trucking.
13
Rusydi, Muhammad Ilhamdi, Yoan Winata, Dhiny Yurichy Putri, and Muhammad Fikri. "Faktor Penyebab dan Upaya Mengatasi Area Titik Buta pada Truk." Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) 8, no. 3 (August 30, 2022): 270. http://dx.doi.org/10.54324/j.mtl.v8i3.505.
Full textAbstract:
Truck drivers cannot see the entire area around the vehicle. This area that cannot be seen is called a blind spot. This article aims to analyze the factors causing blind spot areas on trucks and discuss the efforts that have been made to address the blind spots on trucks. The writing method used is a literature study of the research that has been done. The keywords used in the reference search include blind spot, driver and anthropometry. The search results show that the blind spot area is on each side of the truck, either caused by the vehicle design or the driver's anthropometry. Various attempts have been made to address blind spot areas, such as the use of mirrors, cameras and sensors. In addition, expanding the driver's vision area from inside the cabin can also be a solution. Based on the results of the literature study, it is concluded that the blind spot area is influenced by vehicle design and driver anthropometry
14
Melton, Kerry, and Sandeep Parepally. "Domiciling Truck Drivers More Strategically in a Transportation Network." International Journal of Applied Industrial Engineering 2, no. 1 (January 2014): 41–56. http://dx.doi.org/10.4018/ijaie.2014010103.
Full textAbstract:
The authors propose a method to better domicile truck drivers in a relay-point highway transportation network to obtain better solutions for the truck driver domiciling and sourcing problem. The authors exploit characteristics of the truckload driver routing problem over a transportation network and introduce a new approach to domicile, source, and route truck drivers while more inclusively considering performance and cost measures related to the driver, transportation carrier, and customer. Driver domicile and relay-point locations are exploited to balance driver pay and recruiting costs and driving time. A mixed integer quadratic program will determine where driver domiciles are located to base drivers, source drivers, route drivers, etc. while considering key costs related to transporting truckload freight over long distances. A method to improve driver domicile locations is introduced to enhance driving jobs and driver sourcing, but not at the expense of the transportation carrier and customer. A numerical experiment will be conducted.
15
Ribeiro, Pedro, André Frank Krause, Phillipp Meesters, Karel Kural, Jason van Kolfschoten, Marc-André Büchner, Jens Ohlmann, Christian Ressel, Jan Benders, and Kai Essig. "A VR Truck Docking Simulator Platform for Developing Personalized Driver Assistance." Applied Sciences 11, no. 19 (September 24, 2021): 8911. http://dx.doi.org/10.3390/app11198911.
Full textAbstract:
Professional truck drivers frequently face the challenging task of manually backwards manoeuvring articulated vehicles towards the loading bay. Logistics companies experience costs due to damage caused by vehicles performing this manoeuvre. However, driver assistance aimed to support drivers in this special scenario has not yet been clearly established. Additionally, to optimally improve the driving experience and the performance of the assisted drivers, the driver assistance must be able to continuously adapt to the needs and preferences of each driver. This paper presents the VISTA-Sim, a platform that uses a virtual reality (VR) simulator to develop and evaluate personalized driver assistance. This paper provides a comprehensive account of the VISTA-Sim, describing its development and main functionalities. The paper reports the usage of VISTA-Sim through the scenario of parking a semi-trailer truck in a loading bay, demonstrating how to learn from driver behaviours. Promising preliminary results indicate that this platform provides means to automatically learn from a driver’s performance. The evolution of this platform can offer ideal conditions for the development of ADAS systems that can automatically and continuously learn from and adapt to an individual driver. Therefore, future ADAS systems can be better accepted and trusted by drivers. Finally, this paper discusses the future directions concerning the improvement of the platform.
16
Kircher, Katja, Christer Ahlström, Jonas Ihlström, Tatu Ljokkoi, and John Culshaw. "Effects of training on truck drivers’ interaction with cyclists in a right turn." Cognition, Technology & Work 22, no. 4 (March 17, 2020): 745–57. http://dx.doi.org/10.1007/s10111-020-00628-x.
Full textAbstract:
Abstract With encounters between trucks and cyclists still being a major safety issue and physical as well as technological improvements far from ubiquitous implementation, training truck drivers in anticipatory driving to improve their interaction with cyclists may be a way forward. After a baseline drive in an urban environment, truck drivers inexperienced with urban driving received a dedicated training on anticipatory driving, followed by another drive along the same route several weeks later. The drivers were also interviewed about their opinion about the training. The drivers’ behaviour changed from before to after training, resulting in a better speed management in general, and a more intensive monitoring of the cyclists. There were also some improvements with respect to the placement in relation to the cyclist, but this effect was limited mainly because truck drivers performed well already before the training. The observed results correspond well to the opinions and feelings about the training that were reported by the drivers in the interview. Thus, driver training can possibly be one contributor to an increase in safety in urban areas.
17
Hanowski, Richard J., Miguel A. Perez, and Thomas A. Dingus. "Driver distraction in long-haul truck drivers." Transportation Research Part F: Traffic Psychology and Behaviour 8, no. 6 (November 2005): 441–58. http://dx.doi.org/10.1016/j.trf.2005.08.001.
Full text
18
Wu, Qiang, Dongdong Song, Chenzhu Wang, Fei Chen, Jianchuan Cheng, Said M. Easa, Yitao Yang, and Wenchen Yang. "Analysis of Injury Severity of Drivers Involved Different Types of Two-Vehicle Crashes Using Random-Parameters Logit Models with Heterogeneity in Means and Variances." Journal of Advanced Transportation 2023 (October 11, 2023): 1–15. http://dx.doi.org/10.1155/2023/3399631.
Full textAbstract:
This study proposes random-parameters multinomial logit models, with heterogeneity in means and variances, to explore the differences in the factors influencing injury severities of drivers involved in different types of two-vehicle crashes. The models are verified using crash data from the United Kingdom (UK) over three years (2016–2018). Three types of crashes are separately identified (car-car, car-truck, and truck-truck crashes). In this study, a wide variety of potential variables, including the driver, vehicle, road, and environmental characteristics, are considered, with two possible injury-severity outcomes: severe and slight injury. The results show that unobserved heterogeneity existed for young drivers in both car-car and truck-truck crash models and the 30 mph speed limit in the three separate models. Remarkably variations are observed in crashes involving different types of vehicles. The driver’s age and gender, speeding, sideswipes, presence of junctions, weekdays, unlit, and weather conditions significantly impact driver-injury severities in various types of vehicle crashes. These findings are expected to help policymakers seek to improve highway safety and implement proper safety countermeasures.
19
Ambrożkiewicz, Bartłomiej, Krzysztof Przystupa, and Beata Nawłatyna. "Working time of a truck- theory, and practice." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 12 (December 31, 2018): 855–58. http://dx.doi.org/10.24136/atest.2018.512.
Full textAbstract:
The aim of the article is to show practical and theoretical issues related to the driver's working time in everyday practice. The article lists legal acts regulating the working time of professional drivers. Rules regarding this matter were discussed. Examples of devices designed to record driver activity are shown. The research part includes the results of the analysis of an anonymous questionnaire concerning violation of regulations in the field of driver's working hours.
20
LeMay, Stephen A., Zachary Williams, and Michael Carver. "A triadic view of truck driver satisfaction." Journal of Transportation Management 21, no. 2 (October 1, 2009): 1–15. http://dx.doi.org/10.22237/jotm/1254355320.
Full textAbstract:
In this research, the authors surveyed three groups concerning job satisfaction: experienced drivers, new drivers, and managers. Statistical tests were conducted using a sample of 196 new drivers, 145 experienced drivers, and 59 managers from a large TL firm based in the U.S. The results suggest that many discrepancies exist on driver satisfaction among the three perspectives. In particular, new drivers provide managers with opportunities and challenges for satisfaction. Given the current state of the trucking industry, managers will likely benefit from approaching this segment of drivers differently to meet their expectations and keep them from leaving their firms.
21
Kumara, Debby Angga, and Sri Hilmi Pujihartati. "STRATEGI MEMPERTAHANKAN KEUTUHAN KELUARGA SOPIR TRUK BERBASIS MODAL SOSIAL DI SURAKARTA." Journal of Development and Social Change 3, no. 1 (May 15, 2020): 82. http://dx.doi.org/10.20961/jodasc.v3i1.41680.
Full textAbstract:
<p class="Default">The objective of research was to find out the strategy taken by truck driver family to maintain its family intactness and to find out the factors that can result in family intactness among truck drivers. This research employed Robert D. Putnam and Michael Woolcock’s Social Capital. This qualitative research with phenomenological approach was conducted in Surakarta. The sampling technique employed was purposive sampling one. The informant of research consisted of 4 families including 4 truck drivers, 4 drivers’ wives, 3 drivers’ children, and 1 member of surrounding society. Data was collected through observation, interview, and documentation. To validate the data, source triangulation was used. Technique of analyzing data used was an interactive model of analysis from Miles and Huberman. <strong></strong></p>The result of research showed that the strategy of maintaining the intactness of truck driver’s family was taken by all family members including fathers, mothers, and children. The strategy of maintaining family intactness using Putnam’s social capital was understandable. Trust could be seen from openness, honesty, and trust concerning family’s income or expense and many problems. Network could be seen from low education, work system with company, inherited truck driving skill, no talent and competency in other type of job. Norm could be seen from appreciating each other’s right and obligation and livelihood for family members. Meanwhile, the strategy of maintaining family intactness using Woolcock’s social capital was understandable including bonding as indicated with honesty, openness, trust, and smooth communication, intensity of meeting time between truck drivers and families, and individual families’ way of solving problems. Bridging could be seen from individual families with rule/norm developed, obeyed, and implemented to organize their families. Linking could be seen from the work system with distributor company, between truck drivers with their own truck and those working with distributor company using either provision or wholesale system. <p> </p>
22
Sharma, Salil, Maaike Snelder, Lóránt Tavasszy, and Hans van Lint. "Categorizing Merging and Diverging Strategies of Truck Drivers at Motorway Ramps and Weaving Sections using a Trajectory Dataset." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 9 (July 7, 2020): 855–66. http://dx.doi.org/10.1177/0361198120932568.
Full textAbstract:
Lane-changing models are essential components for microscopic simulation. Although the literature recognizes that different classes of vehicles have different ways of performing lane-change maneuvers, lane change behavior of truck drivers is an overlooked research area. We propose that truck drivers are heterogeneous in their lane change behavior too and that inter-driver differences within truck drivers exist. We explore lane changing behavior of truck drivers using a trajectory data set collected around motorway bottlenecks in the Netherlands which include on-ramp, off-ramp, and weaving sections. Finite mixture models are used to categorize truck drivers with respect to their merging and diverging maneuvers. Indicator variables include spatial, temporal, kinematic, and gap acceptance characteristics of lane-changing maneuvers. The results suggest that truck drivers can be categorized into two and three categories with respect to their merging and diverging behaviors, respectively. The majority of truck drivers show a tendency to merge or diverge at the earliest possible opportunity; this type of behavior leads to most of the lane change activity at the beginning of motorway bottlenecks, thus contributing to the raised level of turbulence. By incorporating heterogeneity within the lane-changing component, the accuracy and realism of existing microscopic simulation packages can be improved for traffic and safety-related assessments.
23
Marwanto, Andriana, Dhea Egitania Fauzila, and Riang Adeko. "THE RELATIONSHIP OF DRIVER BEHAVIOR AND RISK OF ACCIDENTS IN COAL TRANSPORT TRUCK DRIVERS." Proceeding B-ICON 2, no. 1 (December 2, 2023): 219–24. http://dx.doi.org/10.33088/bicon.v2i1.219.
Full textAbstract:
The death rate caused by road traffic accidents in Indonesia is still quite high, where some of these accidents involve trucking vehicles. The aims of this research was to determine the relationship between behavior and the risk of accidents in coal transport truck drivers at PT. X. The type of research used is analytical descriptive with a cross sectional approach. The study population was coal hauling truck drivers working at PT. X with a total sampling of 44 respondents. Based on the results of the study, it was found that most (75.0%) drivers have good knowledge; More than half (54.4%) of drivers are supportive of driving behavior; More than half of drivers (63.6%) have good measures against the risk of workplace accidents in coal truck drivers; And more than half of drivers (59.1%) are at risk of workplace accidents. There was no significant relationship between driver behavior, knowledge, attitudes and actions towards occupational accident risk in coal truck drivers. Insignificant research results cannot reduce the importance of risk control in the company because accidents risk death. To reduce the accident rate among truck drivers, it is necessary to provide facilities to increase intensive education and safety training.
24
Moturi, Walter, and Wojciech Florkowski. "TRUCK DRIVER DECISIONS IN PERISHABLE CARGO TRANSPORT: THE CASE OF AGRICULTURAL AND FOOD TRADE IN EAST AFRICA." Annals of the Polish Association of Agricultural and Agribusiness Economists XXI, no. 3 (August 10, 2019): 324–31. http://dx.doi.org/10.5604/01.3001.0013.3385.
Full textAbstract:
he Northern Corridor (NC) is the main route connecting the land-locked countries of East Africa with the port of Mombasa and is heavily used for shipping goods, including perishable cargo. This paper examines how factors pertaining to truck features, job conditions, and truck driver characteristics influence the decision to accept perishable cargo and the size of an accepted perishable product shipment. The decision equation and the volume shipped equation are estimated using survey data collected from truck drivers interviewed at the border crossing between Uganda and Kenya in September and October 2018. Results show that independent truck drivers and drivers who are Kenyan citizens are more likely to accept perishable cargo and ship larger volumes than drivers working for trucking companies. The opposite influence is associated with drivers operating at set schedules and in response to the increasing truck age, possibly due to the risk of malfunction during a trip.
25
Lu, Fangping, Fang Zhao, and Lynette Cheah. "Dimensionality Reduction to Reveal Urban Truck Driver Activity Patterns." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 9 (October 9, 2018): 81–92. http://dx.doi.org/10.1177/0361198118787105.
Full textAbstract:
This paper studies the activity profiles of truck drivers in urban areas. Finding repeating dynamical patterns is important in understanding freight behaviors, and aids freight-friendly planning. In the digital age, data on truck drivers is becoming more available with heterogeneous demographic and work profiles. By synthesizing such pervasive data and applying machine learning concepts, this paper proposes to identify signature travel activity patterns via dimensionality reduction. Based on driver survey data, truck drivers’ behaviors are represented as longitudinal activity sequences. Dimensionality reduction and activity reconstruction via principal components analysis (PCA), logistic PCA, and autoencoder were conducted to reveal fundamental activity features and approximate the underlying data-generating function. In the driver survey dataset, 243 truck drivers in Singapore reported their daily activities for 1,099 weekdays. This study found that PCA produced the most faithful reconstruction of drivers’ activities. When projecting the input data down from 2,592 to 82 dimensions, PCA explained 77% of variances with a reconstruction error of 0.99%. Logistic PCA is a useful extension of PCA to study the pattern of a single activity. It captures the variation of infrequent activities such as truck queuing, which PCA fails to reconstruct. Autoencoder was found to be more powerful than PCA in reconstructing activities – with 1% of original dimensions, it reconstructed the activities with an error rate of 1.24%. Moreover, when implemented as a variational autoencoder, autoencoder generated realistic-looking samples of driver activities. The top three most distinctive activity patterns of Singapore truck drivers are reported using PCA.
26
Korelitz, James J., Alison A. Fernandez, Valerie J. Uyeda, Gary H. Spivey, Ben L. Browdy, and Reynold T. Schmidt. "Health Habits and Risk Factors among Truck Drivers Visiting a Health Booth during a Trucker Trade Show." American Journal of Health Promotion 8, no. 2 (November 1993): 117–23. http://dx.doi.org/10.4278/0890-1171-8.2.117.
Full textAbstract:
Purpose. The purpose of this report is to provide general information on the personal characteristics, health status, and health interests reported by long-haul truck drivers. Design. A cross-sectional survey was conducted based on a convenience sample. Statistical independence between comparison groups for driver type, age, and gender were tested with the Pearson chi-square test. Setting. The study population consisted of truck drivers who stopped at one of 65 truck stops participating in a trucker trade show. Subjects. Subjects were 2,945 male self-identified truck drivers and 353 female self-identified truck drivers who visited health booths at the trade show. It was estimated that two thirds of visitors to the health booth participated. Measures. A self-administered, close-ended questionnaire recorded the participant's personal characteristics, health status, and health interests. Blood pressure was measured by trained volunteers. Results. A large percentage of male truck drivers smoked cigarettes (54 % vs. 30 % of U.S. white males), did not exercise regularly (92%), were overweight (50% vs. 25% of U.S. white males), and/or were not aware they had high blood pressure (66% vs. 46% of U.S. population). Also, 23% of surveyed truck drivers tested positive on one measure of alcoholism. Conclusions. Although a scientific sampling frame was not used, the health status and lifestyle observed in this study suggest truck drivers would clearly benefit from a health education and promotion program. The truck stops should be evaluated as a possible setting for such a program.
27
Zidan, Zahran Arya, and Teguh Budiharjo. "Lead Levels in Truck Driver's Hair." Jaringan Laboratorium Medis 3, no. 1 (May 16, 2021): 30–37. http://dx.doi.org/10.31983/jlm.v3i1.7919.
Full textAbstract:
Heavy metal lead can cause poisoning or accumulate in human body. Truck drivers spend more a lot of time on the road due to the slow movement of trucks due to carrying heavy loads causing exposure to lead on the highway. Lead enters through the breath and is excreted in the hair. Truck drivers spend more a lot of time on the road, especially trucks that have more than 4 wheels because the load they carry is heavy so it takes time to travel and can be exposed lead on the road. It also allows researchers to easily collect hair samples. longer the work, they get higher lead levels in the human body. After conducting a survey, many truck drivers opened their windows. This happens, maybe some of the Air Cooler (AC) trucks are not working because maybe some of the trucks are too old. This allows truck drivers to be exposed to lead from the air. In addition, PPE (Personal Protective Equipment) is also important such as masks to reduce exposure to lead from the respiratory tract.
28
Xi, Jianfeng, Yunhe Zhao, Zhiqiang Li, Yizhou Jiang, Wenwen Feng, and Tongqiang Ding. "A Recognition Method of Truck Drivers’ Braking Patterns Based on FCM-LDA2vec." International Journal of Environmental Research and Public Health 19, no. 23 (November 30, 2022): 15959. http://dx.doi.org/10.3390/ijerph192315959.
Full textAbstract:
Taking truck drivers’ braking patterns as the research objects, this study used a large amount of truck running data. A recognition method of truck drivers’ braking patterns was proposed to determine the distribution of braking patterns during the operation of trucks. First, the segmented data of braking behaviors were collected in order to extract 25 characteristic parameters. Additionally, seven main correlation factors were obtained by dimensionality reduction. The FCM clustering algorithm and CH scores were used to identify nine categories of truck drivers’ braking behaviors. Then the LDA2vec model was used to identify the distribution of different braking behavior words in braking patterns, and three categories of truck drivers’ braking patterns were identified. The test results showed that the accuracy of the truck drivers’ braking pattern recognition model based on LDA2vec was higher than 85%, and braking patterns of drivers in the daily operation process could be mined from vehicle operation data. Furthermore, through the monitoring and pre-warning of the braking patterns and targeted training of drivers, traffic accidents could be avoided. At the same time, this paper’s results can be used to protect human life and health and reduce environmental pollution caused by traffic congestion or traffic accidents.
29
Thomas, Stephanie P., Sara Liao-Troth, and Donnie F. Williams. "Inefficacy: the tipping point of driver burnout." International Journal of Physical Distribution & Logistics Management 50, no. 4 (May 4, 2020): 483–501. http://dx.doi.org/10.1108/ijpdlm-07-2019-0223.
Full textAbstract:
PurposeTruck drivers keep supply chains moving, but driver shortages and high turnover levels plague the industry. The purpose of this research is to examine the three dimensions of Maslach's job burnout model: exhaustion, cynicism and professional inefficacy, as it relates to role stressors and turnover intention. Logistics boundary spanners such as truck drivers appear to be especially susceptible to job burnout. Role theory and organizational support theory were used to develop hypotheses.Design/methodology/approachIndividual level survey data were collected from 190 truck driver respondents (not owner operators) at two large truck stops. Data were analyzed using structural equation modeling.FindingsFindings suggest that the relationship between role stressors and the dimensions of job burnout are not all the same. Role conflict significantly impacts exhaustion and cynicism. Role ambiguity significantly impacts cynicism and inefficacy. Results support a progression through burnout dimensions that begins with exhaustion and ends with inefficacy. Inefficacy was significantly related to intention to stay. Organizational support is a way to help drivers mitigate feelings of inefficacy.Practical implicationsManagers in trucking organizations can track burnout levels in their drivers using the Maslach Burnout Inventory with a specific focus on monitoring feelings of inefficacy, which may help lower turnover levels.Originality/valueThe findings support that the burnout dimension of inefficacy is the strongest indicator that a driver is considering leaving his current organization or the industry. This is contrary to other studies that have focused on the other two burnout dimensions.
30
Belman, Dale, and Kristen Monaco *. "Are truck drivers underpaid?" Applied Economics Letters 12, no. 1 (January 15, 2005): 13–18. http://dx.doi.org/10.1080/1350485042000291411.
Full text
31
Belzer, Michael H., and Stanley A. Sedo. "Why do long distance truck drivers work extremely long hours?" Economic and Labour Relations Review 29, no. 1 (September 18, 2017): 59–79. http://dx.doi.org/10.1177/1035304617728440.
Full textAbstract:
While other research has shown that higher paid truck and bus drivers are safer, this is the first study showing why higher paid drivers are safer. We estimate the labour supply curve for long-haul truck drivers in the United States, applying two-stage least squares regression to a national survey of truck drivers. We start with the standard model of the labour supply curve and then develop two novel extensions of it, incorporating pay level and pay method, and testing the target earnings hypothesis. We distinguish between long-haul and short-haul jobs driving commercial motor vehicles. Truck and bus drivers choose between long-distance jobs requiring very long hours of work away from home and short-distance jobs generally requiring fewer hours. The labour supply curve exhibits a classic backward bending shape, reflecting drivers’ preference to work until they reach target earnings. Above target earnings, at a ‘safe rate’ for truck drivers, they trade labour for leisure, working fewer hours, leading to greater highway safety. Drivers work fewer hours at a higher pay rate and likely have less fatigue. Pay rates also have implications for driver health because worker health deteriorates as working time exceeds 40 hours. JEL Codes: I14, J28, J33, J88, L92, M55
32
Ulum, Ömer Gökhan, and Erdoğan Bada. "Cultural discourse embedded in truck scripts." Journal of Human Sciences 13, no. 3 (October 24, 2016): 4199. http://dx.doi.org/10.14687/jhs.v13i3.4050.
Full textAbstract:
The bond between a driver and his truck has been the subject of many famous films. If not actual adoration of the vehicle, it certainly is the destiny shared between a living human and a running machine, both heading for a common destination. Who and what else can replace this bond? Here, we see the truck bearing decorations, bumper sticks, script, and pictures of animate and inanimate objects all reflecting the taste and psyche of the driver. This study aims to introduce a thematic analysis into this picturesque look of over a thousand trucks with specific focus on scripts borne by trailers based on the assumption that content of scripts would be representing inner worlds of truck drivers. Photographed as well as internet-based data related to vehicles provided the source for this study. Scripts were thematised, and categorized observing nationality of origin of license plates. With its findings, the study yields valuable results regarding values and beliefs truck drivers of different nationalities hold to themselves. A variety of psychological profiles, harboring feelings such as sadness, joy, dejection, rejection, love, disappointments, anger, vengeance, etc., all expressed through scripts was also surfaced in this study.
33
Combs, Bryan, Karen Heaton, Dheeraj Raju, D. E. Vance, and W. Karl Sieber. "A Descriptive Study of Musculoskeletal Injuries in Long-Haul Truck Drivers: A NIOSH National Survey." Workplace Health & Safety 66, no. 10 (March 5, 2018): 475–81. http://dx.doi.org/10.1177/2165079917750935.
Full textAbstract:
Long-haul truck drivers are significantly affected by musculoskeletal injuries with incidence rates 3.5 times higher than the national average. Yet, little is known about injuries that affect long-haul trucks drivers. In 2010, interviewers collected data from 1,265 long-haul truck drivers at 32 truck stops across the United States. These surveys were analyzed to describe all self-reported musculoskeletal injuries. Injuries to the arm (26.3%) and back (21.1%) were the two areas most reported in the survey. Musculoskeletal injuries were most often caused by falls (38.9%) and contact with an object or equipment (33.7%) resulting most commonly in sprains/strains (60%). This large scale survey highlights the significance of musculoskeletal injuries in long-haul truck drivers and suggests the need to develop interventions to prevent injuries and improve recovery once injuries occur.
34
Nadler, S. Scott, and John F. Kros. "Logistic Regression Approach to Predicting Truck Driver Turnover." International Journal of Applied Logistics 5, no. 1 (January 2014): 15–32. http://dx.doi.org/10.4018/ijal.2014010102.
Full textAbstract:
The purpose of this study is to identify those constructs that lead to driver turnover. The theory of reasoned action (TRA), originating in the social psychology literature is the theoretical approach in this study. Interviews with drivers were conducted using the intercept method to develop a survey instrument. The survey was then administered to drivers at large truck stops. This study makes contributions on two fronts. From a managerial perspective the study results indicate that companies can use a technique such as this model as part of their driver retention efforts in order to create competitive advantage by increasing efficiency and cutting costs. The resulting logistic regression model, based on four factors, accounts for eighty eight percent of the variance and accurately predicts which drivers or driver classes are most at risk of turning over.
35
Kim, Kyung-Jin. "Differences in Perceptions Regarding the Causes of Accidents in Logistics Vehicles: Freight vs. Passenger Cars." Korean Logistics Research Association 34, no. 1 (February 28, 2024): 57–70. http://dx.doi.org/10.17825/klr.2024.34.1.57.
Full textAbstract:
What factors do truck drivers consider as the primary causes of accidents? Study 1 investigated whether there were differences in risk perception among drivers of freight and passenger cars regarding various accident causes. Truck drivers perceived lower accident risks due to external factors during longer distances compared to shorter distances. Conversely, passenger car drivers felt lower risks at closer distances than at longer ones. This discrepancy can be attributed to variations in risk perception for the same accident factor, influenced by psychological fluency and the fit of regulatory focus with psychological distance.
Study 2 explored conditions where the interaction effect between driving distance and regulatory focus influenced by driver type (freight vs. passenger car), differed from Study 1. Participants indicated that, when anticipating driving long distances while intoxicated, the perceived risk of drunk driving decreased if they were identified as other truck drivers. However, when identifying themselves as truck drivers, the risk perception of drunk driving increased significantly. This pattern was also replicated in the context of drowsy driving.
36
Belzer, Michael H. "Work-stress factors associated with truck crashes: An exploratory analysis." Economic and Labour Relations Review 29, no. 3 (June 6, 2018): 289–307. http://dx.doi.org/10.1177/1035304618781654.
Full textAbstract:
Researchers have studied truck crashes extensively using methods appropriate for behavior, technology, and regulatory enforcement. Few safety studies associate crashes with economic pressure, a pervasive latent influence. This study uses data from the US Large Truck Crash Causation Study to predict truck crashes based on work pressure factors that have their origins in market pressures on motor carriers and truck drivers. Logistic regression shows that factors associated with the work process, including an index of work-pressure attributes, predict the likelihood that crash analysts consider the truck driver to be the person whose last action could have prevented the crash. While not proving causation, the data suggest that economic factors affecting drivers contribute significantly to truck crashes.
37
Knorring, John H., Rong He, and Alain L. Kornhauser. "Analysis of Route Choice Decisions by Long-Haul Truck Drivers." Transportation Research Record: Journal of the Transportation Research Board 1923, no. 1 (January 2005): 46–60. http://dx.doi.org/10.1177/0361198105192300106.
Full textAbstract:
This study has done an empirical analysis of long-haul truck drivers’ route choice decision making as they navigate the U.S. highway network. The most important factor that has been analyzed is how long-haul truck drivers trade off between distance and time when faced with multiple routes. From information gathered from a revealed preference data set consisting of about 250,000 trucks over a 13-day period, a logistic model was constructed to describe route choice behavior when truck drivers are faced with alternate routes. The logistic model predicted the percentage of trucks that used the bypass route as a function of the perceived speed on the downtown route. The results of this study show that time is a significant factor in the decision-making process.
38
Hassan, Rayya, and Kerry McManus. "Perception of Low Frequency Vibrations by Heavy Vehicle Drivers." Journal of Low Frequency Noise, Vibration and Active Control 21, no. 2 (September 2002): 65–75. http://dx.doi.org/10.1260/026309202761019516.
Full textAbstract:
A study was initiated to identify the levels and frequencies of heavy articulated vehicle body vibrations at which the drivers perceive the ride as uncomfortable. The study involved conducting a subjective assessment survey in which a panel of truck drivers were asked to rate the ride quality provided by a number of road sections with different surface roughness characteristics. The study's objective was achieved by correlating the mean panel ratings (MPRs) to road surface roughness contents in different one-third-octave bands of the roughness spectrum. The results showed that at 100 km/h, truck drivers object mainly to motions resulting from roughness excitations of the low frequency vibration modes of the truck body in the range 1.42 – 5.7 Hz. These results were validated by correlating MPRs with the levels of whole body vibrations measured on the driver's seat in a representative vehicle while traversing some test sections. MPRs were found to correlate well with the measured overall vibration total values and the likely comfort reactions to various magnitudes of overall vibration total values given by ISO 2631–1. The influence on MPRs of vehicle and driver related factors were also investigated and commented upon.
39
Taiwo, Olusegun Austine, Sitti Asmah Hassan, Rahmat Mohsin, and Norashikin Mahmud. "Truck drivers’ behaviour on road traffic crash involvement: A structural equation modeling approach." Journal of Autonomous Intelligence 7, no. 5 (May 20, 2024): 1549. http://dx.doi.org/10.32629/jai.v7i5.1549.
Full textAbstract:
<p>Truck drivers significantly enhance global economic development due to the varying and bulk freight transport from one end to another. However, their involvement in road traffic crashes usually results in significant losses of lives and properties. There are sparse studies on the influence of driving behaviours of truck drivers on road traffic crashes, especially in developing countries like Nigeria. A total of 880 commercial truck drivers participated and completed the driver behaviour questionnaire. The structural equation modeling approach was used in the analysis to examine the influence of truck drivers’ behaviours on crash involvement in Nigeria. The results showed that driving violations, driving errors, and inattention errors were significantly associated with road traffic crash involvement, while positive driving behaviour was negatively significant. The analysis further revealed a significant relationship between crash involvement and sociodemographic factors, notably age and driving experience, whereas no significant association was observed with educational background. The findings suggest crash involvement among truck drivers can be reduced by addressing violation, error, and inattention, while positive behaviours should be encouraged through training programs and policy formulations.</p>
40
Asad, Firas, and Maysoon Saeed. "INVESTIGATING THE RISK FACTORS AFFECTING THE OCCURRENCE, FREQUENCY, AND SEVERITY OF LARGE TRUCK ACCIDENTS IN AL-NAJAF GOVERNORATE, IRAQ." Kufa Journal of Engineering 15, no. 1 (February 2, 2024): 30–46. http://dx.doi.org/10.30572/2018/kje/150103.
Full textAbstract:
In spite of the established literature-based evidence regarding the consequences of large truck accidents, limited body of research has been done on the characteristics and risk factors of such road accidents in Iraqi cities and governorates. According to national statistics, there has been a steady increase in the number of trucks and truck-related crashes over the past ten years. This paper aims to investigate the characteristics and risk factors associated with accidents involving large trucks in Al-Najaf governorate. A sample of 400 truck drivers were randomly selected and interviewed to collect the needed accident data. Four generalized linear models have been built; ordinal regression model for total injuries, binary logistic model for fatal accident occurrence, multinomial logit model for accident frequency, and ordinal regression model for accident cost. The analysis results revealed several influential predictors including truck driver age, education level, type of collision, truck speed, truck type, and street lighting condition. The obtained findings should be enlightening and helpful for government organizations looking to promote safety measures for sustainable freight truck transport.
41
Rosenbloom, Tova, Ehud Eldror, and Amit Shahar. "Approaches of truck drivers and non-truck drivers toward reckless on-road behavior." Accident Analysis & Prevention 41, no. 4 (July 2009): 723–28. http://dx.doi.org/10.1016/j.aap.2009.03.011.
Full text
42
Gittleman, Maury, and Kristen Monaco. "Truck-Driving Jobs: Are They Headed for Rapid Elimination?" ILR Review 73, no. 1 (June 17, 2019): 3–24. http://dx.doi.org/10.1177/0019793919858079.
Full textAbstract:
The authors analyze the potential effects of automation on the jobs of truck drivers and conclude that media accounts predicting the imminent loss of millions of truck-driving jobs are overstated. Their conclusion is based on three main factors. First, the count of truck drivers is often inflated due to a misunderstanding of the occupational classification system used in federal statistics. Second, truck drivers do more than drive, and these non-driving tasks will continue to be in demand. Third, the requirements of technology, combined with complex regulations over how trucks can operate in the United States, imply that certain segments of trucking will be easier to automate than others. Long-haul trucking (which constitutes a minority of jobs) will be much easier to automate than will short-haul trucking (or the last mile), in which the bulk of employment lies. Although technology will likely transform the status quo in the trucking industry, it does not necessarily imply the wholesale elimination of the demand for truck drivers, as conventional accounts suggest.
43
Taiwo, Olusegun Austine, Rahmat Bin Mohsin, Sitti Asmah Hassan, and Norashikin Mahmud. "Validation of Driver Behavior Questionnaire on Nigerian Truck Drivers: A Structural Equation Modeling Approach." Journal of Hunan University Natural Sciences 50, no. 1 (February 28, 2023): 123–30. http://dx.doi.org/10.55463/issn.1674-2974.50.1.13.
Full textAbstract:
Driving behavior questionnaires (DBQs) are widely used in driving research. There has been mixed support for the scale in several countries worldwide. Hence, this study examined the validity and reliability of the driver behavior questionnaire (DBQ) among a large sample of Nigerian commercial truck drivers. The structural equation modeling method was used to analyze the composite reliability and construct validity (Average Variance Extracted (AVE) and Heterotrait-Monotrait ratio). The authors found the constructs' composite reliability, convergent validity, and discriminant validity to be above 0.7, 0.5, and below 0.9, respectively, showing that they are valid and reliable for the sample of Nigerian commercial truck drivers. The novelty of this result is that the driver behavior questionnaire can be used to achieve consistent and valid results for a study of commercial truck drivers' behavior in Nigeria toward achieving RTA reduction.
44
Chen, Shengdi, Shiwen Zhang, Yingying Xing, and Jian Lu. "Identifying the Factors Contributing to the Severity of Truck-Involved Crashes in Shanghai River-Crossing Tunnel." International Journal of Environmental Research and Public Health 17, no. 9 (May 1, 2020): 3155. http://dx.doi.org/10.3390/ijerph17093155.
Full textAbstract:
The impact that trucks have on crash severity has long been a concern in crash analysis literature. Furthermore, if a truck crash happens in a tunnel, this would result in more serious casualties due to closure and the complexity of the tunnel. However, no studies have been reported to analyze traffic crashes that happened in tunnels and develop crash databases and statistical models to explore the influence of contributing factors on tunnel truck crashes. This paper summarizes a study that aims to examine the impact of risk factors such as driver factor, environmental factor, vehicle factor, and tunnel factor on truck crashes injury propensity based on tunnel crashes data obtained from Shanghai, China. An ordered logit model was developed to analyze injury crashes and property damage only crashes. The driver factor, environmental factor, vehicle factor, and tunnel factor were explored to identify the relationship between these factors and crashes and the severity of crashes. Results show that increased injury severity is associated with driver factors, such as male drivers, older drivers, fatigue driving, drunkenness, safety belt used improperly, and unfamiliarity with vehicles. Late night (00:00–06:59) and afternoon rushing hours (16:30–18:59), weekdays, snow or icy road conditions, combination truck, overload, and single vehicle were also found to significantly increase the probability of injury severity. In addition, tunnel factors including two lanes, high speed limits (≥80 km/h), zone 3, extra-long tunnels (over 3000 m) are also significantly associated with a higher risk of severe injury. So, the gender, age of driver, mid-night to dawn and afternoon peak hours, weekdays, snowy or icy road conditions, the interior zone of a tunnel, the combination truck, overloaded trucks, and extra-long tunnels are associated with higher crash severity. Identification of these contributing factors for tunnel truck crashes can provide valuable information to help with new and improved tunnel safety control measures.
45
Douglas, Matthew A., and Stephen M. Swartz. "Career stage and truck drivers’ regulatory attitudes." International Journal of Logistics Management 27, no. 3 (November 14, 2016): 686–706. http://dx.doi.org/10.1108/ijlm-11-2014-0180.
Full textAbstract:
Purpose The purpose of this paper is to determine whether or not early, mid, late career stage truck drivers view the safety regulations differently and how drivers’ regulatory attitudes influence their compliance attitudes and intentions. Design/methodology/approach This survey study is designed to evaluate the differences in truck drivers’ attitudes toward safety regulations across career stages. Moreover, the study applies ordinary least squares path analysis to determine the influence of drivers’ regulatory attitudes on compliance attitudes and intentions. Findings Results revealed that drivers in early and late career stages harbor different perceptions of the burden safety regulations place on driving operations, the effectiveness of driver-focused safety regulations in maintaining road safety, and the acceptability of certain unsafe acts. Moreover, drivers’ attitudes toward regulations directly and indirectly influenced compliance attitudes and intentions. Research limitations/implications The participant sample was taken from employees of four large motor carriers operating refrigerated and dry box trailers over the road in interstate commerce. While the sample is roughly representative of this segment, the authors recommend caution in generalizing the findings across the diverse US trucking industry as a whole. Practical implications Findings suggest that motor carrier management should tailor safety and regulatory familiarization training across career stages. Moreover, carriers should provide targeted communication regarding the effectiveness of regulations and impact of regulations on driving operations in order to alleviate drivers’ negative attitudes toward regulations where possible. Originality/value This study marks the first application of career stage theory to the motor carrier safety context. This study also provides further evidence as to the efficacy of drivers’ attitudes toward safety regulations in predicting drivers’ compliance attitudes and intentions. A better understanding of these phenomena may lead to improved compliance and safety.
46
Yang, Shiyan, Steven E. Shladover, Xiao-Yun Lu, Hani Ramezani, Aravind Kailas, and Osman D. Altan. "A First Investigation of Truck Drivers’ Preferences and Behaviors using a Prototype Cooperative Adaptive Cruise Control System." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 34 (August 26, 2018): 39–48. http://dx.doi.org/10.1177/0361198118788190.
Full textAbstract:
Cooperative adaptive cruise control (CACC) is a driver-assist technology that uses vehicle-to-vehicle wireless communication to realize faster braking responses in following vehicles and shorter headways compared with adaptive cruise control. This technology not only enhances road safety, but also offers fuel savings benefits as a result of reduced aerodynamic drag. The amount of fuel savings is dictated by the following distances and the driving speeds. So, the overarching goal of this work is to explore driving preferences and behaviors when following in “CACC mode,” an area that remains largely unexplored. While in CACC mode, the brake and throttle actions are automated. A human factors study was conducted to investigate truck drivers’ experiences and performance using CACC at shorter-than-normal vehicle following time gaps. “On-the-road” experiments were conducted by recruiting drivers from commercial fleets to operate the second and third trucks in a three-truck CACC string. The driving route spanned 160 miles on freeways in Northern California and five different time gaps between 0.6 and 1.8 seconds were tested. Factors such as cut-ins by other vehicles, road grades, and traffic conditions were found to influence the drivers’ opinions about use of CACC. The findings presented in this paper provide insights into the factors that will influence driver reactions to the deployment of CACC in their truck fleets.
47
Feyer, Anne-Marie, and Ann M. Williamson. "The Influence of Operational Conditions on Driver Fatigue in the Long Distance Road Transport Industry in Australia." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 9 (October 1993): 590–94. http://dx.doi.org/10.1177/154193129303700916.
Full textAbstract:
The present study is the second part of a large project designed to identify possible strategies to better manage driver fatigue in the long distance road transport industry. The first study in the project, reported elsewhere, investigated driver fatigue among truck drivers. The present study examined driver fatigue in the passenger sector. The questionnaire used earlier was adapted for the passenger sector to collect information about the drivers' experience of fatigue, working conditions, type of driving operation as well as details of their last trip and last working week. The results revealed that the experience of drivers in the passenger sector only partially overlapped with those for the truck sector. The ways in which fatigue occurred and some of the contributors to fatigue showed remarkable consistency across sectors. There was major divergence, however, in the ways drivers reported managing fatigue.
48
Van Hemel, Susan B., and William C. Rogers. "Survey of Truck Drivers’ Knowledge and Beliefs Regarding Driver Fatigue." Transportation Research Record: Journal of the Transportation Research Board 1640, no. 1 (January 1998): 65–73. http://dx.doi.org/10.3141/1640-09.
Full textAbstract:
A survey was distributed to about 25,000 truck drivers in the United States and Canada to determine their knowledge of several fatigue-related topics; 4,833 responses were received and tabulated. Analysis by topic area indicated that the following topics are not well understood by respondents and should be considered for special emphasis in fatigue outreach and education programs. Sleep disorders, especially sleep apnea, appear to be poorly understood by the respondents, and younger drivers are least informed on this topic. Many respondents are not aware that apnea is treatable. Napping is recognized as an effective short-term countermeasure to fatigue by fewer drivers than might be desired. Those who do use napping as a fatigue countermeasure believe it is very helpful. Sleep requirements may be underestimated by many drivers. About 25 percent of the respondents believe that 5 to 6 hr of sleep per night is enough to maintain alertness. Circadian rhythm effects are not fully understood by the respondents, especially effects on mood and performance efficiency. Caffeine and its effects on the body are misunderstood by many drivers. A fairly large proportion of respondents appear unaware of the limitations on caffeine’s stimulant effects and of possible side effects of caffeine overuse. Melatonin, a hormone, may be another substance the drivers need to know more about. Many drivers did not respond to the item on melatonin safety, and many others responded incorrectly.
49
Islam, Mouyid, and Seckin Ozkul. "Identifying Fatality Risk Factors for the Commercial Vehicle Driver Population." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 9 (May 7, 2019): 297–310. http://dx.doi.org/10.1177/0361198119843479.
Full textAbstract:
Commercial/large-truck fatal crash involvement by drivers of different age groups is a critical issue for the trucking industry. Escalating safety concerns related to these heavy vehicles serving the freight economy in the U.S. have an impact national freight reliability and economic growth. This study identifies major contributing factors leading to large-truck fatal crashes for four age groups of driver: <30, 30–49, 50–65, and 65+. The analysis in this study is based on five years (2012–2016) of Fatality Analysis Reporting System data and provides an overall picture of risk factors in large-truck fatal crashes. In total, 30 variables were found to be significant in the logit models, indicating varying risks associated with large-truck drivers of these four age groups. Model results indicate different risk factors associated with driver characteristics, spatial and temporal characteristics, vehicle and vehicle maneuvering characteristics, and environmental conditions at the time of the crashes. Identifying the risk factors for different age groups of drivers is important so proper countermeasures can be implemented from the perspective of human factors (e.g., safe speed choice, fatigue), roadway engineering (e.g., design of roadside barriers, radius of ramps), enforcement (e.g., presence of law enforcement personnel at critical locations), and emergency medical attention in remote areas. Considering the aging of the truck driver population in the U.S. and around the world, the findings of this study are vital to understand better the importance of safety in relation to large-truck fatal crashes.
50
Layne, Diane M., Bonnie Rogers, and Susan A. Randolph. "Health and Gender Comparisons in the Long-Haul Trucking Industry." AAOHN Journal 57, no. 10 (October 2009): 405–13. http://dx.doi.org/10.1177/216507990905701003.
Full textAbstract:
This descriptive pilot study was conducted to determine whether health conditions and health care access differ between male and female long-haul truck drivers. Data indicated that 54% of men and 66% of women had a health care provider, but 21% of men and 35% of women had no health insurance. Male and female drivers both reported common health problems (e.g., back pain, sinus problems, hypertension, headaches, and arthritis). While working, drivers of each gender often waited until returning home to seek treatment for health problems. Approximately half of the drivers expressed dissatisfaction with health care while “on the road.” Occupational and environmental health nurses could address the health needs of drivers by conducting examinations and distributing wellness information at truck stop clinics and from mobile health vans, posting health information within truck stop driver lounges, creating interactive websites with real-time health care information, attending trucker trade shows to conduct health screenings, or providing health information through occupational or trade magazines and newsletters.