The effects of a seatbelt-gearshift delay prompt on the seatbelt use of motorists who do not regularly wear seatbelts

A seatbelt-gearshift delay was evaluated in two U.S. and three Canadian vehicles using a reversal design. The seatbelt-gearshift delay required unbelted drivers either to buckle their seatbelts or to wait a specified time before they could put the vehicle in gear. After collecting behavioral prebaseline data, a data logger was installed in all five vehicles to collect automated data on seatbelt use. Next the seatbelt-gearshift delay was introduced. The results showed that the delay increased all 5 drivers' seatbelt use, and that the duration of the delay that produced relatively consistent seatbelt use varied across drivers from 5 to 20 s. When the device was deactivated in four of the five vehicles, behavior returned to baseline levels.     

Field operational test of a seatbelt reminder system: Effects on driver behaviour and acceptance

The long-term effects on driver behaviour and acceptance of a seatbelt reminder system were examined in an on-road study. The system was capable of detecting seatbelt use in all seating positions and produced a two-stage visual and auditory warning if occupants were unrestrained. The effects of this system were evaluated alone and in combination with two other intelligent transport systems: intelligent speed adaptation and a following distance warning system. Twenty-three fleet car drivers drove an instrumented vehicle (SafeCar) for at least 16,500 km as part of their everyday driving. The results revealed that driver and passenger interaction with the seatbelt reminder system led to large and significant decreases in the percentage of trips where occupants were unbelted, in the percentage of total driving time spent unbelted, and in the time taken to fasten a seatbelt in response to system warnings. The seatbelt reminder system was rated by drivers as being useful, effective and socially acceptable, and led to a decrease in drivers’ subjective workload. These results were found even though the baseline pre-exposure seatbelt wearing compliance rates among participants were high.     

Risky behaviours associated with traffic crashes among app-based motorcycle taxi drivers in Vietnam

Motorcycle taxi services provide an important mobility option for people in developing countries. With the emergence of new transport technologies, app-based motorcycle taxi services have become increasingly popular in recent years. However, little is known about risky driving behaviours and their association with traffic crashes among app-based motorcycle taxi drivers. Through a survey of 602 app-based motorcycle taxi drivers from three cities in Vietnam, this research aimed to investigate the incidence of risky driving behaviours and their association with driver characteristics and traffic crashes. Using a mobile phone while driving was found to be the most common risky driving behaviour (52%) among app-based motorcycle taxi drivers, followed by neglecting to use turn signals (31%), encroaching car lanes (25%), exceeding the speed limit (21%), running red lights (19%) and carrying more than one passenger (17%). In addition, drivers who were students, or those who worked more than 50 h per week, were found to be more likely to engage in risky driving behaviours. Binary logistic regression modelling showed that neglecting to use turn signals, carrying more than one passenger and smoking while driving was significantly associated with self-reported active crash/fall involvement. Turn signal neglect was also associated with active injury crash/fall involvement. The incidence of risky driving behaviours and associated crash involvement was found to be lower among app-based motorcycle taxi drivers compared with regular motorcyclists, yet the findings still highlight the need for ride-hailing firms to deliver improved education and road safety training for their drivers.     

Key challenges in tram/streetcar driving from the tram driver’s perspective – A qualitative study

Tram drivers have a difficult task in controlling one of the heaviest vehicles on the road whilst negotiating a complex road environment with multiple road users. Like all public transport drivers, tram drivers need to ensure passenger safety and to run on time. However, very little research has been conducted evaluating tram driving tasks and even less on evaluating tram drivers opinion on how other road users are affecting tram road safety. Therefore, the aim of this study is to investigate the key tram driving challenges, to identify the key road user factors affecting tram road safety as well as to explore the potential safety improvement initiatives on tram routes from the tram drivers’ viewpoint. The study incorporated five focus groups involving thirty tram drivers in Melbourne. The key themes emerged inductively from focus groups were identified through a data coding process. Outcomes of the focus groups revealed seven major challenges in tram driving: ensuring safety for all people in and around the tram, pressure for running on-time, maintaining constant concentration on roads, predicting other road users’ behavior in advance to avoid any crash incident, preventing passenger falls on board, accepting the operational constraints of trams and managing fatigue workloads. Tram drivers identified that other road users are unaware of safety issues around trams, have a poor understanding of road rules about driving with trams and often violate road rules around trams, and they mentioned this road user behaviors as the key challenges for safe tram driving. Tram drivers proposed rendering greater law enforcement on the tram network to penalize road users who are violating road rules around trams, introducing more safety campaigns and safety education to increase awareness among road users to improve tram road safety. Findings of this research enhance understanding of tram driving challenges, provide an in-depth knowledge of road user factors affecting tram road safety and suggest effective planning strategies for transit agencies to improve road safety.     

An observational study of restraint and helmet wearing behaviour in Malaysia

Unrestrained and unhelmeted occupants are at increased risk of severe injury or death in the event of a crash, and there is evidence that children, particularly in low and middle income countries, have low restraint and helmet wearing rates.Roadside observations of occupants of passing vehicles (7247 cars, vans and taxis and 2897 motorcycles) in nearside lanes were made at seven selected road sites located around the Klang Valley (greater Kuala Lumpur) area representing a variety of demographic locations.The findings revealed an overall low rate of seat-belt wearing in vehicles (front seat drivers: 44.6%; front seat adult passengers: 33.8%; front seat child passengers: 11.8%; rear seat adult passengers: 5.2%; and, rear seat child passengers: 5.8%). For motorcyclists, the majority of adult riders and pillions wore helmets (93.4% and 85.8%, respectively), however a substantial proportion (40%) did not fasten their helmet properly. Of children observed on motorcycles, only 30.5% wore helmets.This study shows low seat-belt and helmet wearing rates, despite enactment of legislation that requires all vehicle passengers to be restrained and for all motorcyclists to wear helmets. This was particularly evident for children (front and rear seating positions) and rear seat adult passengers. It is suggested there is a general lack of awareness of safety and the benefits of restraint/helmet use, and lack of adequate and appropriate enforcement. The implications of the findings are discussed in terms of promoting restraint/helmets use, enforcement of legislation and implementation of technologies to increase appropriate restraint/helmet use.     

Increasing motorist compliance and caution at stop signs.

This study evaluated strategies to improve motorist compliance and caution at three stop‐sign‐controlled intersections with a history of motor vehicle crashes. The primary intervention was a light‐emitting diode (LED) sign that featured animated eyes scanning left and right to prompt drivers to look left and right for approaching traffic. Data were scored from videotape on the percentage of drivers coming to a complete stop and the percentage of drivers looking right before entering the intersection. Observational data were collected on the percentage of right‐angle conflicts (defined as braking suddenly or swerving from the path to avoid an intersection crash). The introduction of the LED sign according to a multiple baseline across the three intersections was associated with an increase in the percentage of vehicles coming to a complete stop at all three intersections and a small increase in the percentage of drivers looking right before entering the intersections. Conflicts between vehicles on the major and minor road were also reduced following the introduction of the animated eyes prompt.     

The factors of female taxi drivers’ speeding offenses in Taiwan

Females choosing taxi driving as a career is rare, therefore, investigating such samples is often difficult. Speeding is one of the most common driving violations, however, there has been no research looking into female taxi drivers’ speeding issue. This study explores the factors of female taxi drivers’ speeding offenses in Taiwan. Data is based on a national survey and includes 235 professional female taxi drivers. The results indicate that female taxi drivers work approximately 27.37 days per month, at a mean of 9.76 h per day. Of the female taxi drivers represented in this study, 22.8% reported at least one speeding offense over a one-year period. The results of a logistic regression model reveal that the determinant factors associated with female taxi drivers’ speeding offenses are significantly related to age, educational level and mileage driven. However, job experience, business operating style, and vehicle engine size are not associated with committing speeding offenses. Practical implications for traffic safety of female taxi drivers are also discussed.     

Suicide by crashing into a heavy vehicle: A one-year follow-up study of professional drivers

Train and heavy vehicle drivers can experience a traumatic event caused by people attempting suicide by crashing into their vehicles or jumping in front of them. While there are a number of studies on train drivers showing the negative consequences these events can have on their well-being, there are no studies on heavy vehicle drivers involved in these types of crashes. In the current study, we surveyed Finnish heavy vehicle drivers (N = 15) involved in a suicide crash in the year 2017 regarding their experiences and coping approximately one month (T1) and one year (T2) after the crash. Ten of these drivers reported one or various combinations of measurable consequences such as minor physical injuries, shorter or longer sickness absences, significant posttraumatic stress symptoms (measured using the Impact of Events Scale-Revised) and requiring psychological help. Posttraumatic stress symptoms decreased over time; however, three out of the four drivers who had a high IES-R score at T1 were still around the IES-R cut-off score at T2. This research raises questions whether and what kind of support heavy vehicle drivers who have been involved in a suicide crash should be given.     

The perception of bicycle crashes with and without motor vehicles: Which crash types do older and middle-aged cyclists fear most?

Several studies have focused on the perceived risk of bicycle crashes (irrespective of crash types) and concluded that cycling near high volumes of motor vehicles deters people from cycling. The perceived risk of bicycle crash types (with or without motor vehicles) has not yet been studied. Cyclists, both in countries with low and high levels of cycling participation, are substantially more likely to sustain severe injuries in single-bicycle crashes than in bicycle-motor vehicle crashes. This questionnaire study sets out to compare which bicycle crash types are perceived to cause most hospitalizations among cyclists. The study comprised cyclists over 55 years in the Netherlands, and over 40 years in the Belgian regions of Flanders (a region with high cycling participation), Brussels and Wallonia (regions with low cycling participation). The majority of cyclists (60%) perceive bicycle-motor vehicle crashes cause most hospitalizations among cyclists. This percentage is greatest in the areas of Brussels and Wallonia and lowest in the Netherlands. Cyclists who were involved in a bicycle-motor vehicle crash themselves are more likely to regard this crash type as the most common cause of hospitalizations among cyclists, while cyclists over 60 years who were involved in a crash without a motor vehicle are more likely to perceive that crash type as the most common cause. The smaller perception bias in the study areas with higher cycling participation – particularly the Netherlands and to a somewhat lesser degree Flanders – is probably due to bicycle infrastructure being more separated from high-speed motor traffic, leaving cyclists less exposed. The outcomes show that cyclists underestimate the likelihood of severe injuries due to single-bicycle crashes. New interventions should raise the awareness of the risk of single-bicycle crashes and provide solutions to avoid such crashes.     

Safety effects of parking maneuvers

Parking maneuvers, particularly a vehicle’s maneuver for entering and leaving a parking space, have varying rates of use and safety impacts. In this effort, crash data were collected for parking lots in the vicinity of a university campus and compared to observational parking position data. The campus was selected for this study because a change in the parking enforcement process was expected to (and did) change parking maneuver choices. When entering and leaving a parking space, three maneuver options exist for drivers: (1) forward, (2) reverse, and (3) pulling through an adjacent parking space. When specifically entering a parking space, the maneuver options become: (1) pull-in, (2) back-in, and (3) pull-through. When leaving the parking space, the maneuver options become: (1) pull-out, (2) back-out, and (3) pull-through. This study found that the pull-in/back-out vehicle maneuver’s percentage of total crashes was greater than the percentage of vehicles that were actually observed to use the same maneuver. The analysis from this study implies that the pull-in/back-out parking maneuver is more likely to result in a collision and therefore, is associated with a higher crash risk. Further analysis of North Carolina’s parking related fatal and serious injury crashes found that vehicles backing out of parking spaces was overwhelmingly the main cause for these serious injuries. 90% of North Carolina’s parking related fatal and serious injuries occurred during a back-out maneuver. Overall, this study concludes that the back-in/pull-out parking maneuver is safer than the pull-in/back-out maneuver and is the recommended approach to 90° parking.     

Changes in seatbelt use after licensing: a developmental hypothesis for novice drivers

This study tested the hypothesis that seatbelt use reflects a person's driving style or attitude towards safety, and that novice drivers' attitudes become inappropriate temporarily after licensing, and go back to being appropriate when more experience has been gained. We examined seatbelt use by university students (N=387) at a university parking lot for 19 days between April and November. Personal information about the participants was obtained from parking stickers and supplementary questionnaires asking about their driving history and attitudinal variables, such as self-assessed skill and safety. A longitudinal study indicated that seatbelt use decreased among novice drivers, but remained the same for more experienced drivers. Cross-sectional studies revealed a U curve change in seatbelt use after licensing. Regression analysis showed that overconfidence about driving skills accounted for the novice drivers' tendency to avoid using seatbelts. These results supported the hypothesis, especially for male novice drivers. The reason and implications of the changing attitude of novice drivers towards safety are discussed in terms of driver development.     

Determinants of standard motorcycle safety helmet usage among child pillion riders

The World Health Organization stressed that compliance with the use of safety helmet could significantly reduce the risk of injury by 72% and the probability of death by 39%. In Malaysia, the enforcement of the safety helmet legislation significantly reduced 30% of motorcycle crash fatalities in Malaysia. The aim of this study is to explore the use of motorcycle helmets and the determinants of standard helmet usage among child pillion riders. A cross-sectional survey of 200 adult riders accompanied by the child pillion riders aged 6–12 years old from Klang, Selangor, was conducted. The proper use of the helmet among the respondents and the child pillion riders was observed and recorded. A questionnaire was used to assess socio-demographic background and awareness of the use of child safety helmets. The data was analyzed using SPSS version 23. Only 3% of child pillion riders use standard child safety helmets, while 37% wear standard adult motorcycle helmets. Adult riders who were married, female, always wear helmets, have a higher household income and travel a long distance, are more likely to use a standard motorcycle helmet for their child pillion riders. Knowledge on Standard Certification (SIRIM) label and its importance, awareness of the campaign on child safety helmets, police enforcement, understanding the safety of toy/game helmet use have been identified as additional determinants of standard helmet use among child pillion riders. This study recommends prospective studies with continuous road safety educations programs that integrate behavioural change approaches to enhance the use of standard motorcycle helmets among the child pillion riders in Malaysia.     

Gender and age-related differences in attitudes toward traffic laws and traffic violations

The study examined gender and age-related differences in drivers’ normative motives for compliance with traffic laws and in gain–loss considerations related to driving. Two age groups of male and female students, totaling 181 respondents, completed a questionnaire measuring several normative motives for compliance with traffic laws, perceived gains and danger involved in the commission of traffic violations, and the frequency of committing various driving violations. The results show that younger drivers and male drivers express a lower level of normative motivation to comply with traffic laws than do female and older drivers. The lowest level of perceived importance of traffic laws relative to other laws was found among young male drivers. The commission of traffic violations was found to be related more to the evaluation of traffic laws among men and younger drivers, compared to women and older drivers. The perceived danger involved in the commission of a driving violation, however, was found to constitute much more of a factor among women than among men before the commission of traffic violations. Perceived gains involved in the commission of violations were more strongly pronounced among older drivers than among younger drivers. Results are discussed concerning different types of attitude–behavior relationships in the context of driving.     

Effects of speed feedback signs and law enforcement on driver speed

This study analyzes the effects of implementing three speed management strategies, namely speed feedback signs, periodic law enforcement, and speed feedback sign supported with periodic law enforcement on driver speed behavior and compliance. To analyze the effectiveness of each strategy, nine locations in Pima County, Arizona, were studied in a cross-sectional framework. For each study site, the driver’s speed, date, time, and vehicle’s length were collected at a location prior to the speed management zone as the baseline, at the speed management zone, and downstream of the speed management zone. The general effect showed that all the strategies were effective in reducing average speed and the proportion of drivers exceeding the speed limit. In addition, the results of the robust heteroscedastic ANOVA test showed that among all the strategies, the speed feedback sign supported with periodic law enforcement was the most effective one. Moreover, it was shown that by supporting the speed feedback sign with periodic law enforcement, the reduction in average speed and proportion of drivers exceeding the speed limit would last, even after passing the speed management strategy. In other words, the existence of periodic law enforcement could potentially modify drivers’ behaviors and increase the spatial effectiveness of speed feedback signs. Comparing the behavior of truck and passenger car drivers also revealed similar results. That is, both truck and passenger car drivers tend to slow down after observing the speed management strategy. The experimental evidence indicates positive benefits for reducing excessive speeding behaviors at the sites.     

Exploring the benefits of conversing with a digital voice assistant during automated driving: A parametric duration model of takeover time

Vehicle automation allows drivers to disengage from driving causing a potential decline in their alertness. One of the major challenges of highly automated vehicles is to ensure a timely (with respect to safety and situation awareness) takeover in such conditions. For this purpose, the current study investigated the role of an in-vehicle digital voice-assistant (VA) in conditionally automated vehicles, offering spoken discourse relating specifically to contextual factors, such as the traffic situation and road environment. The study involved twenty-four participants, each taking two drives (counterbalanced): with VA and without VA, in a driving simulator. Participants were required to takeover vehicle control following the issuance of a takeover request (TOR) near the end of each drive. A parametric duration model was adopted to find the key factors determining takeover time (TOT). Paired comparisons showed higher alertness and higher active workload (mean NASA-TLX rating) during automation when accompanied by the VA. Paired t-test comparison of gaze behavior prior to takeover showed significantly higher instances of checking traffic signal, roadside objects, and the roadway during the drive with VA, indicating higher situation awareness. The parametric model indicated that the VA increased the likelihood of making a timely takeover by 39%. There was also some evidence suggesting that male drivers are likely to resume control 1.21 times earlier than female drivers. The study findings highlight the benefits of adopting a digital voice assistant to keep the drivers alert and aware about the recent traffic environment in partially automated vehicles.     

Differences between taxi and nonprofessional male drivers in attitudes towards traffic-violation penalties

The present study examined attitudes towards traffic-violation penalties in (Israeli) male nonprofessional (NP) drivers and taxi drivers. The results indicated that the respondents generally judged the penalties as just and appropriate, that NP drivers judged the penalties as just more than taxi drivers, that the judgment of penalties as just increased as a function of penalty severity, and that NP drivers judged the penalties as just more than taxi drivers in low- and in medium-severity of penalty conditions but not in high-severity conditions. These findings are discussed in terms of the relation between attitudes and behavior and the importance of the legitimacy of laws by the public for achieving obedience as well as in terms of future research.     

Crash avoidance and driver assistance technologies – Are they used?

Crash avoidance technologies have potential to mitigate collisions, and actual crash reductions have been identified for some systems. This study measured observed on-off rates of these technologies as an indicator of use, with a focus on lane maintenance systems (i.e., designed to keep vehicles within lanes by warning, braking, and/or steering) and studied factors that might increase their acceptance and use. Vehicles from nine manufacturers fitted with lane maintenance systems were observed at service departments during 2016. Systems were turned on in 51% of 983 vehicles. The activation rate was higher for systems with braking/steering interventions and vibrating warnings and decreased with total mileage. Large proportions of front crash prevention (93%), blind spot monitoring (99%), rear cross-traffic alert (97%), and driver monitoring alert (90%) systems were enabled, and most optional settings were set to factory defaults. Owner surveys linked to observations showed that drivers who had lane maintenance systems turned off believed warnings were distracting and unnecessary compared with drivers whose systems were on.     

Factors contributing to hit-and-run crashes in China

Hit-and-run accidents, or those where the perpetrator leaves the crash scene without reporting the event, are a serious concern because they can delay the rescue of victims, thereby increasing the fatality rate and severity of injuries. However, only a few studies exist on the factors that influence hit-and-run behavior, particularly in developing countries. Using data collected from Guangdong Province in China, this study applies a logistic regression model to analyze factors associated with hit-and-run behavior in five categories: crash attributes and human, vehicle, road, and environmental factors. This study finds that the probability of hit-and-run behavior increases with accidents that involve pedestrians, occur in dark driving conditions, and are caused by drivers who are male, middle-aged, and without a valid driver’s license, extensive driving experience, or automobile insurance. Therefore, we recommend closer supervision and better public education for different groups of people about traffic laws and regulations.     

Behavior model and guidance strategies of the crossing behavior at unsignalized intersections in the connected vehicle environment

The connected vehicle environment is considered to be a disruptive technology that reconstructs the way people travel and road transport, and more importantly, ensures traffic safety. This study aims on investigating drivers’ interactive behavior at an unsignalized intersection in the connected vehicle environment. Specifically, a simplified iterative behavior model was established to predict the potential conflicting vehicles’ behavior. Furthermore, based on principles of safety, efficiency, and comfort, the guidance strategies were proposed to help the subject vehicles cross intersections. A multi-user driving simulator experiment was carried out and 48 participants were divided into 24 pairs to complete the test. The simplified iterative behavior model was constructed based on the dynamic interaction of each participant pair as they approached the intersection from straight-crossing directions. The comparison results showed the behavior model was an effective microscopic simulation tool for vehicles at unsignalized intersections with high accuracy and good applicability. Then, the guidance strategies under different compliance rates (baseline, 50 % compliance, 100% compliance) were evaluated based on three indexes i.e. standard deviation of speed (SDS), duration of crossing the intersection (DCI), and time exposed post-encroachment-time (TEP). The numerical simulation results showed that the guidance strategies could effectively improve the safety and efficiency of drivers crossing the intersection under both 50% and 100% compliance rates. Besides, with the increase of compliance rate, the comfort level also increased evidently. This study can provide theoretical and algorithmic references for microscopic simulation and guidance strategy at unsignalized intersections in the connected vehicle environment.     

How is emotion associated with driving speed? A study on taxi drivers in Japan

Drivers’ emotions significantly affect their driving performance and thus are related to driving safety issues. The objective of this study is to examine how taxi drivers’ on-duty emotional states are associated with their driving speed in real driving situations. An experiment was conducted among 15 taxi drivers in Hiroshima, Japan for 15 consecutive days in 2019. A biometric device was used to track drivers’ emotional states while on duty; the five examined states included happy, angry, relaxed, sad, and neutral. Random effects panel regression results revealed that negative emotions of taxi drivers (angry and sad) have significant impacts on increasing driving speed. In contrast, a neutral emotional state is related with decreased speed, while happy and relaxed emotional states show no significant impact. Moreover, we found that factors such as driving with customers, driving long hours, and number of break hours are significantly associated with driving speed. This study contributes to the literature by providing empirical evidence on the roles that emotional states play in explaining driving speed in real-life driving situations, in contrast to studies that use simulated driving or mood induction procedures.