Review
Ergonomics
Mariane Paula Bobermin, Melissa Mariana Silva, Sara Ferreira
Summary: This study reveals the influence of road geometry on driver behavior through a systematic review of driving simulator studies. Heterogeneity in measured variables and deficiencies in experiment reporting were found, hindering meta-analysis of study outcomes. The potential of driving simulators to address road safety research gaps was discussed, along with the detection of problems in experimental standardization that could impact study findings.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Psychology, Applied
M. Bassani, L. Catani, A. Hazoor, A. Hoxha, A. Lioi, A. Portera, L. Tefa
Summary: Being distracted while driving is a major cause of road crashes. New driver monitoring technologies track ocular and head movement to alert drivers when prolonged distraction is detected. This study evaluated the effectiveness of a Driver Distraction Warning device in improving drivers' behavior during intentional distraction.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2023)
Article
Engineering, Civil
L. Zhang, J. S. Peng, Z. Song, Z. B. Fan, X. H. Yang, Q. W. Kong, L. Zhou
Summary: This study empirically tests the factors influencing distracted driving behaviours and constructs a distracted driving scale based on the theory of planned behaviour. Questionnaire data from 321 participants in Chongqing, China is analyzed using statistical tests and a structural equation model. A four-stage rational emotional behaviour therapy experiment is conducted to validate and measure the effectiveness of distraction intervention. The results show that subjective norm is the most influential psychological factor, and the intervention method successfully reduces distracted behaviours.
JOURNAL OF ADVANCED TRANSPORTATION
(2023)
Article
Ergonomics
Roja Ezzati Amini, Christelle Al Haddad, Debapreet Batabyal, Isidora Gkena, Bart De Vos, Ariane Cuenen, Tom Brijs, Constantinos Antoniou
Summary: Driving simulator studies are popular for investigating driving behavior and testing safety-critical events. This study explores the impact of distraction caused by mobile phone usage on driver behavior and performance, using a car driving simulator and eye-tracking glasses. The research findings suggest that distracted driving significantly changes drivers' gaze patterns and negatively affects driving performance.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Psychology, Multidisciplinary
Sandra Cuentas-Hernandez, Xiaomeng Li, Mark J. King, Oscar Oviedo-Trespalacios
Summary: This study explores the influence of driving context on a driver's decision to participate in non-critical secondary activities. The findings suggest that the road traffic environment can affect distracted driving behavior.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Computer Science, Information Systems
Ryusei Kimura, Takahiro Tanaka, Yuki Yoshihara, Kazuhiro Fujikake, Hitoshi Kanamori, Shogo Okada
Summary: This paper focuses on estimating a driver's psychological characteristics using driving data, and develops a model to estimate cognitive function, psychological driving style, and workload sensitivity through machine learning and deep learning techniques. The experimental results show that the model can estimate a driver's cognitive function with high accuracy.
Article
Engineering, Multidisciplinary
Zhiqiang Liu, Shiheng Ren, Mancai Peng
Summary: This paper proposes a noninvasive method for recognizing distracted driving based on vehicle kinematics indicators and deep learning techniques. The results show that the method achieves higher F1-scores in distracted driving and normal driving, with a lower false positive rate. This approach provides a valuable tool for vehicle distraction warning systems and driving risk propensity assessment.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Hongqing Tian, Boqi Li, Heye Huang, Ling Han
Summary: This study presents a potential-field based RRT* motion-planning algorithm for vehicle risk aversion. The algorithm constructs a configuration space using the potential field to identify risk range around obstacles and off-road terrains. A random-exploring tree grows through sampling inside the potential-field space considering nonholonomic constraints, and a cost function is used for optimization. The algorithm improves vehicles' motion planning performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Ergonomics
Noa Zangi, Rawan Srour-Zreik, Dana Ridel, Hadas Chasidim, Avinoam Borowsky
Summary: This study examines the impact of engagement with non-driving related tasks on the driving performance of partially automated vehicle (PAV) drivers. The findings show that engagement with non-driving related tasks impairs drivers' awareness of road hazards and increases their mental workload under partially automated driving conditions (L2). Additionally, the attentional time-sharing strategy between the non-driving related tasks and the roadway monitoring task affects the probability of identifying a hazard.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Engineering, Industrial
John Enoch Dotse, Richard Rowe
Summary: This study examined the psychometric properties of the Manchester Driver Behaviour Questionnaire (DBQ) in a sample of 453 Ghanaian drivers, finding that the DBQ is effective in characterizing risky driving behaviors in Ghana. Violations and errors were reported at higher frequencies in the Ghanaian sample compared to the UK, and were independently correlated with self-reported crash involvement and traffic citations.
Article
Psychology, Applied
C. J. Robbins, Steve Fotios
Summary: The study found that conversing with passengers is the most prevalent driving distraction on minor roads, while mobile phone use is more common on major roads. Therefore, considering the type of road is important when investigating the prevalence of driving distractions in future research.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2022)
Article
Chemistry, Multidisciplinary
Bing-Ting Dong, Huei-Yung Lin, Chin-Chen Chang
Summary: In this paper, a method for detecting driver fatigue and distracted driving behaviors using vision-based techniques is proposed. The approach utilizes facial features to analyze the driver's fatigue and employs a CNN to classify distracted driving behaviors, achieving higher accuracy and efficiency.
APPLIED SCIENCES-BASEL
(2022)
Article
Psychology, Applied
Jane Hinton, Barry Watson, Oscar Oviedo-Trespalacios
Summary: This paper presents a conceptual framework to understand the relationship between roadside advertising signs, driver behavior, and road safety outcomes. It also introduces the concept of extended engagement to account for prolonged attentional engagement with roadside advertising signs. However, the current body of research in this field is inconclusive, making it difficult to draw definitive conclusions and develop evidence-based policies for road regulators.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2022)
Article
Multidisciplinary Sciences
Anna W. T. Cai, Jessica E. Manousakis, Bikram Singh, Jonny Kuo, Katherine J. Jeppe, Elly Francis-Pester, Brook Shiferaw, Caroline J. Beatty, Shantha M. W. Rajaratnam, Michael G. Lenne, Mark E. Howard, Clare Anderson
Summary: The study found that sleep loss affects driving performance, with young drivers showing significantly increased lane departures and near-crash risk after sleep loss, while older drivers showed a slight decrease. This highlights that younger drivers are more susceptible to the effects of sleep loss and should be given special attention.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Tetiana Hill, Amanda N. Stephens, Mark J. M. Sullman
Summary: The study conducted in Ukraine revealed that a significant number of drivers engage in using mobile phone applications while driving, such as texting, checking social media, etc. Positive attitude towards mobile phone use while driving and beliefs about being able to drive safely and write or read a text message were found to be significantly associated with the use of mobile phone applications while driving. No associations were found between the type A behavior pattern and mobile phone applications use.
Article
Psychology, Applied
Verity Truelove, Natalie Watson-Brown, Oscar Oviedo-Trespalacios
Summary: This study aimed to examine the impact of both external and internal influences on hand-held phone use while driving. The results showed that despite changes to the penalty and enforcement, legal factors did not significantly deter drivers from phone use. Instead, participants reported avoiding punishment, which influenced further engagement in the behavior. Meanwhile, indicators of self-regulation were found to have a more salient impact on the behavior, whereby drivers who reported high levels of internalized regulatory processes were less likely to use a hand-held phone while driving.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2023)
Review
Information Science & Library Science
Sage Kelly, Sherrie-Anne Kaye, Oscar Oviedo-Trespalacios
Summary: Artificial Intelligence (AI) agents are expected to infiltrate most industries in the next decade, leading to a shift towards this new technology. However, research on user acceptance of AI technology has been dispersed and lacks systematic synthesis, limiting our understanding in this area.
TELEMATICS AND INFORMATICS
(2023)
Article
Ergonomics
Laura Mills, Verity Truelove, James Freeman
Summary: Advancements in technology have had a significant impact on road safety and communication. However, the emergence of Facebook police location pages and groups raises concerns about the potential for illegal and dangerous driving behaviors to go unpunished. This study examined two Facebook police location groups and three pages from Queensland, Australia, and found that some users had personal experiences of evading punishment for drug driving and lacked knowledge about safe time intervals between drug consumption and driving. The findings highlight the need for greater responsibility from Facebook and the government to address these issues.
JOURNAL OF SAFETY RESEARCH
(2023)
Article
Engineering, Industrial
Quy Nguyen-Phuoc Duy, Ngoc Thi Nguyen Ly, Ngoc Su Diep, Nguyen Minh Hieu, Oscar Oviedo-Trespalacios
Summary: Food delivery riders are at a higher risk of being involved in road crashes, likely due to the working conditions in the gig economy. Research is necessary to understand the safety issues faced by this vulnerable group and identify ways to address them.
Article
Public, Environmental & Occupational Health
K. B. Stefanidis, C. Schiemer, J. Freeman, K. Mulgrew, O. Oviedo-Trespalacios, V. Truelove
Summary: Mobile phone use while driving is a major distraction and concern. Social media platforms, such as Facebook, play a role in encouraging and facilitating the avoidance of detection for this behavior. Research is needed to understand the nature and extent of online content related to mobile phone use while driving.
TRAFFIC INJURY PREVENTION
(2023)
Article
Transportation
Teresa Senserrick, Natalie Watson-Brown, Sherrie-Anne Kaye, Oscar Oviedo-Trespalacios
Summary: Decades of research and development have led to critical improvements in understanding and interventions for young drivers' involvement in road crashes. However, there has been limited focus on the accreditation and professional development of driving instructors in teaching young drivers. This paper argues that skilled professional instruction can improve young driver safety behavior, and instructors are willing to upskill in young driver specific training needs. It also highlights the lack of adequate training for young drivers in new motor vehicle features.
JOURNAL OF ROAD SAFETY-JRS
(2023)
Article
Engineering, Industrial
Verity Truelove, Kayla Stefanidis, Laura Mills, Oscar Oviedo-Trespalacios
Summary: Avoiding punishment is a key predictor of continued engagement in risky phone use while driving, and the availability of location-sharing applications and social media pages has increased this concern. A mixed-methods approach was used to investigate the impact of these technologies on phone use while driving. Interviews with police officers suggested that the use of these technologies can encourage dangerous driving, while a survey with drivers revealed that certain apps and checking Facebook police location sites predicted high-frequency phone use while driving. Avoiding being caught and punished further predicted high-frequency phone use.
Article
Engineering, Industrial
Oscar Oviedo-Trespalacios, Amy E. Peden, Thomas Cole-Hunter, Arianna Costantini, Milad Haghani, J. E. Rod, Sage Kelly, Helma Torkamaan, Amina Tariq, James David Albert Newton, Timothy Gallagher, Steffen Steinert, Ashleigh J. Filtness, Genserik Reniers
Summary: ChatGPT is an advanced AI language model popularly used in various applications. However, its potential for misuse and provision of incorrect safety-related information raises concerns. A multidisciplinary consortium analyzed nine safety cases and concluded that ChatGPT poses significant risks by providing inaccurate and potentially harmful advice, emphasizing individual responsibility. The study highlights the need for caution, ethical considerations, and expert verification when using ChatGPT for safety-related information.
Article
Ergonomics
Xiaomeng Li, Sherrie-Anne Kaye, Amir Pooyan Afghari, Oscar Oviedo-Trespalacios
Summary: The introduction of Automated Vehicles (AVs) on roads will face challenges related to public readiness and acceptance. This study investigates the acceptance of Fully Automated Vehicles (FAVs) among different non-AV-user groups. The results show that pedestrians had the lowest intention to share roads with FAVs, while drivers and cyclists in a lower risk profile group had higher intention.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Economics
Fazle Subhan, Yasir Ali, Shengchuan Zhao, Oscar Oviedo-Trespalacios
Summary: Evaluating road safety improvements is crucial for allocating economic resources and implementing effective policies. This study proposes a new modeling approach using willingness-to-pay (WTP) to estimate the value of road safety risk measures. The findings reveal significant heterogeneity in WTP and provide insights into the determinants of public sensitivity to WTP. Overall, the proposed modeling framework has valuable implications for prioritizing road safety policies and projects. Evaluation: 8/10.
Article
Psychology, Applied
Razi Hasan, Barry Watson, Narelle Haworth, Oscar Oviedo-Trespalacios
Summary: Drug driving is a major road safety issue and the primary response in Australia has been the adoption of roadside drug testing (RDT), modeled after random breath testing (RBT) for alcohol. However, there are differences in the implementation of RDT and RBT that may have differential effects on drug and drink driving behavior. This study found that self-reported drug and drink driving were more likely with increased levels of dependence. Avoiding detection was the strongest predictor of self-reported drug and drink driving, while holding favorable attitudes towards these behaviors was positively related to self-reported behaviors. The findings suggest that legal sanctions alone are not enough to reduce drug and drink driving, and countermeasures should integrate deterrence and psychosocial principles.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2023)
Article
Psychology, Applied
Milan Tesic, Suzana Miladic-Tesic, Katerina Folla, George Yannis, Oscar Oviedo-Trespalacios
Summary: Driver behavior is a crucial factor in road safety and can be measured using traditional and modern methods. This paper aims to explore the star rating of driver's behavior and identify the key factors contributing to risky driving. The results show that using a mobile phone while driving, not using child restraints system, alcohol drunk driving during the night, and seat belt use at rear seats of passenger vehicles are the most significant factors.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2023)
Article
Engineering, Industrial
Laura Mills, Verity Truelove
Summary: This study investigated the use of police location communities (PLCs) for obtaining information about roadside drug testing (RDT) among drivers, and found that drivers who used PLCs were more concerned about being caught for drug driving, had a better understanding of the related penalties and procedures, and knew others who also used PLCs to avoid detection for drug driving. Furthermore, the study found that the use of PLCs was associated with choosing back roads for driving, which may reduce the risk of detection for drug driving.
Article
Psychology, Multidisciplinary
Julie Aitken Schermer, Radoslaw Rogoza, Maria Magdalena Kwiatkowska, Christopher Marcin Kowalski, Sibele Aquino, Rahkman Ardi, Henrietta Bollo, Marija Brankovic, Razieh Chegeni, Jan Crusius, Marta Doroszuk, Violeta Enea, Thi Khanh Ha Truong, Dzintra Ilisko, Tomislav Jukic, Emira Kozarevic, Gert Kruger, Adil Kurtic, Jens Lange, Kadi Liik, Sadia Malik, Samuel Lins, Agim Mamuti, Laura Martinez-Buelvas, Benjamin Mrkusic, Gines Navarro-Carrillo, Oscar Oviedo-Trespalacios, Emrah Ozsoy, Eva Papazova, Joonha Park, Natalia Pylat, Goran Ridic, Ognjen Ridic, Dzenan Skelic, Chee-Seng Tan, Jorge Torres-Marin, Osman Uslu, Tatiana Volkodav, Anna Wlodarczyk, Georg Krammer
Summary: This study collected responses on four humor styles from individuals in 28 countries, finding both differences and similarities across nations. Affiliative humor style scored highest in all countries. Although mean scores varied between countries, there were positive inter-scale correlations, similar sex differences, and correlations with age, indicating more similarities than differences. Caution is needed due to low internal consistency values and poorly fitting factor structures in some samples.
CURRENT PSYCHOLOGY
(2023)
Article
Economics
Valeria Bernardo, Xavier Fageda, Jordi Teixido
Summary: The study finds that flight ticket taxes have a significant impact on low-cost airlines' supply and carbon emissions, resulting in a decrease of 12% in the number of flights and a 14% reduction in carbon emissions. Additionally, the burden of the taxes is higher for passengers paying low fares, affecting avoidable flights more significantly.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Xingxing Fu, Dea van Lierop, Dick Ettema
Summary: This study investigates the relationship between multimodality and perceived transport adequacy and accessibility. The results show that multimodality is burdensome, especially for car-dependent individuals, and leads to lower perceived achievement or accessibility for those with limited access to a car.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Henrik Johansson Rehn, Lars E. Olsson, Margareta Friman
Summary: This paper presents the Framework of RoUtIne Transitions in daily travel (FRUIT), which analyzes the impact of life events on travel behavior changes and identifies the critical phases in this process. By integrating theories and concepts, the framework provides a theoretical basis for interventions aimed at improving sustainable travel. The applicability of FRUIT is illustrated through an empirical case, and the implications for future research and policy are discussed.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Peng-Cheng Xu, Qing-Chang Lu, Chi Xie, Taesu Cheong
Summary: This study investigates the resilience evaluation of interdependent networks. A model is developed to quantify the impacts of network interdependency on the resilience of interdependent transit networks, considering interdependency relations, network topology, flow characteristics, and demand distribution. The model is applied to the metro and bus networks of Xi'an, China. Results show that node degree heterogeneity in topology, bidirectional function dependency among networks, and flow matching between networks are important factors influencing network resilience.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Jeppe Rich, James Fox
Summary: Many transport models allocate all costs to the car driver without considering the cost sharing among passengers. This paper questions this premise and argues that cost sharing can occur in various forms, which should be properly accounted for in transport models. The empirical evidence from Denmark suggests that not accounting for cost sharing may result in biased cost elasticities and occupancy rates.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Jorik Grolle, Barth Donners, Jan Anne Annema, Mark Duinkerken, Oded Cats
Summary: High-speed rail is considered a promising alternative for long-distance travel, but the current state of the European HSR network is poorly connected. This study presents a customized version of network design and frequency setting problem for HSR, and analyzes the performance under various policies and design variables. The results show that considering externalities leads to more extensive networks and mode shifts, but requires high public investments. The importance of network integration and cross-border cooperation is highlighted. The findings aim to contribute to the design of an attractive and competitive European HSR network.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Mounisai Siddartha Middela, Gitakrishnan Ramadurai
Summary: This study addresses the research gaps in understanding the effect of regression models, measurement period, and spatial dependence on Freight Trip Generation (FTG) modeling and freight-related policies. The results show that the spatial Zero-Inflated Negative Binomial (ZINB) model is the best for daily and weekly Freight Trip Production (FTP), while the non-spatial Negative Binomial (NB) model is the best for daily and weekly Freight Trip Attraction (FTA). The study also highlights the importance of considering spatial dependence and using count models with a week as the measurement period.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)