Motorcycle Riders Research Articles

Random forest models for motorcycle accident prediction using naturalistic driving based big data

Motorcycle accident studies usually rely upon data collected from road accidents collected through questionnaire surveys/police reports including characteristics of motorcycle riders and contextual data such as road environment. The present study utilizes big data, in the form of vehicle trajectory patterns collected through GPS, coupled with self-reported road accident information along with motorcycle rider characteristics to predict the likelihood of involvement of a motorcyclist in an accident. Random Forest-based machine learning algorithm is employed by taking inputs based on a variety of features derived from trajectory data. These features are mobility-based features, acceleration event-based features, aggressive overtaking event-based features and motorcyclists socio-economic features. Additionally, the relative importance of features is also determined which shows that aggressive overtaking event-based features have more impact on motorcycle accidents as compared to other categories of features. The developed model is useful in identifying risky motorcyclists and implementing safety measures focused towards them.

Using random forest to test if two-wheeler experience affects driver behaviour when interacting with two-wheelers

Car drivers are primarily responsible for crashes between cars and bicycle and motorcycle riders (two-wheelers; TWs). A lack of exposure and riding experience with TWs among car drivers may contribute to the occurrence of these crashes. The current research investigates if car drivers with different TW riding experience levels act differently during risky interactions with both types of TWs. A total of 69 drivers completed a 10-minute driving session using the CARRS-Q advanced driving simulator, which included five interactions with TWs based on common crash types. These interactions involve driving manoeuvres in which TWs were initially positioned in front of or at a right angle to the driver. The drivers were divided into two categories based on whether they possessed TW riding experience or not. For analysis, several response features were calculated using the speed and time to collision (TTC) during the time window covering the interaction. Then, a random forest algorithm used the extracted features from the predefined window to classify the drivers. Classification accuracy was calculated using leave one out cross-validation. To test the association between the speed, TTC features and experience as a TW rider, the drivers’ labels were randomly permuted. The random forest models were trained using these permuted labels, and the average classification accuracy was calculated. Overall, the comparison between the average of the original data classification accuracy and the randomly permuted data revealed a statically significant difference. This study found that two-wheeler experience influences driver behaviour when interacting with two-wheelers.

Effect of use and type of helmet on occurrence of traumatic brain injuries in motorcycle riders in Korea: a retrospective cohort study.

The purpose of this study was to investigate (1) the association among helmet wearing, incidence rate of traumatic brain injury (TBI), and in-hospital mortality; TBI was diagnosed when the head Abbreviated Injury Scale (AIS) was ≥1, and as severe TBI when head AIS was ≥3; and (2) the association between helmet type and incidence rate of TBI, severe TBI, and in-hospital mortality of motorcycle accidents based on the newly revised Emergency Department-based Injury In-depth Surveillance (EDIIS) data. Data collected from EDIIS between January 1, 2020 and December 31, 2020 were analyzed. The final study population comprised 1,910 patients, who were divided into two groups: helmet wearing group and unhelmeted group. In addition, the correlation between helmet type and motorcycle accident was determined in 596 patients who knew the exact type of helmet they wore. A total of 710 patients who wore helmet but did not know the type were excluded from this analysis. Multivariate logistic regression was performed in both the groups to investigate the factors affecting the primary (occurrence of TBIs) and secondary outcomes (severe TBI and in-hospital mortality). The prevalence of Injury Severity Scores, TBIs, and severe TBIs as well as in-hospital mortality were the highest in the unhelmeted group. Additionally, the results from the group that wore and knew the type of helmet worn indicated that wearing a full-face helmet decreased the incidence of TBIs in comparison to a half-face helmet. The wearing of a helmet in motorcycle accidents is very important as it plays a role in reducing the occurrence of TBIs and severe TBIs and in-hospital mortality. The use of a full-face helmet lowered the incidence of TBIs.

Influence of Boda Boda Riders’ Behaviour on Road Safety and Socio-economic Well-being of Lodwar Town Residents in Turkana County, Kenya

Commercial Motorcycle Taxi business, also known as 'Boda boda', is a dominant alternative mode of transport and a means of quick mobility in Kenya. The Boda bodas are associated with significant accident risks and have led to a public health epidemic. The Risky riders' traffic behaviour, coupled with the tendency of the riders to operate like organized urban militia, have often been associated with disruption of socio-economic activities, road accidents, injuries, and deaths. This study sought to explore the influence of Boda boda Riders' traffic Behaviour on Road Safety and the socio-economic well-being of Lodwar town residents. A cross-sectional study was conducted targeting 17,210 households in Lodwar town in Turkana County. The study employed a descriptive research design that involved the collection of both quantitative and qualitative data from residents, motorcycle riders, traffic police officers, and health care workers in Lodwar town. The quantitative data were analyzed by use of frequency counts and percentages cross-tabulations. This study showed that Road Safety and socio-economic well-being were influenced by risky boda boda riders' traffic behaviours. Inferential statistics established that the proportion of respondents asserted that the gender of boda boda, the nature, pattern, and traffic behaviour affected Road Safety by X2, (4, N=335), P=.162. This finding established that there exists no statistically significant relationship between the gender and Road Safety and socio-economic well-being of residents. The study established that the proportion of respondents on the level of education of boda boda riders and traffic behaviour affected Road Safety by X2, (4, N=335), P<.05.This findings implied that there exists a statistically significant relationship between the level of education of boda boda riders and traffic behaviour on Road Safety and Socio-economic well-being of residents in Turkana County. The study established that boda boda’s ownership and traffic behaviour affected road safety and socio-economic well-being of residents of Turkana Central Sub County by X2, (4, N=335), P=.05. The study recommends that: Stakeholders in the boda boda sector should set up rules and regulations to minimize the nature of boda boda riders' patterns of traffic behaviour that affect Road Safety and socio-economic well-being. Boda boda riders should be educated on the negative impacts of their behaviours and how they affect household well-being.

Hubungan Tingkat Pengetahuan Karang Taruna Desa Tentang Cedera Otak Sebelum dan Sesudah Penyuluhan di Desa Pesisir Senggigi

Brain injury has the third largest prevalence of other injuries in Indonesia. Most brain injuries occur on highways as a result of motorcycling accidents. The only effective way to reduce the death rate from brain injury that occurs in motorcycle accidents is to wear a helmet. Cases of brain injury due to traffic accidents are often found in adolescents because of the lack of understanding of the importance of helmet use. Therefore, education is needed about the importance of using standard helmets when driving among teenagers. The counseling activity was carried out in one of the senior high schools (SMA) in Mataram with the dominant target of teenagers using motorized vehicles. The selected high school is SMA Negeri 2 Mataram. The method of implementing this counseling is by giving lectures on brain injury, the mechanism of trauma and brain injury and the importance of using standard head protective equipment (SNI helmets), playing videos about head trauma and interactive dialogue. The mandatory output that will be produced is in the form of research articles in the Unram Medical Journal. In addition, research results will be reported back to related fields as input and study material for traffic safety program activities in determining policies in planning, implementing, and evaluating programs as well as coordinating with related programs and sectors. The researcher will also provide a banner stand regarding the importance of using standard helmets for motorcycle riders at the activity location which can then be used as a medium of communication, information and education to the school students.

Penyuluhan Pentingnya Penggunaan Helm Standar Guna Menurunkan Angka Kejadian Cedera Otak di SMAN 2 Mataram

Brain injury has the third largest prevalence of other injuries in Indonesia. Most brain injuries occur on highways as a result of motorcycling accidents. The only effective way to reduce the death rate from brain injury that occurs in motorcycle accidents is to wear a helmet. Cases of brain injury due to traffic accidents are often found in adolescents because of the lack of understanding of the importance of helmet use. Therefore, education is needed about the importance of using standard helmets when driving among teenagers. The counseling activity was carried out in one of the senior high schools (SMA) in Mataram with the dominant target of teenagers using motorized vehicles. The selected high school is SMA Negeri 2 Mataram. The method of implementing this counseling is by giving lectures on brain injury, the mechanism of trauma and brain injury and the importance of using standard head protective equipment (SNI helmets), playing videos about head trauma and interactive dialogue. The mandatory output that will be produced is in the form of research articles in the Unram Medical Journal. In addition, research results will be reported back to related fields as input and study material for traffic safety program activities in determining policies in planning, implementing, and evaluating programs as well as coordinating with related programs and sectors. The researcher will also provide a banner stand regarding the importance of using standard helmets for motorcycle riders at the activity location which can then be used as a medium of communication, information and education to the school students.

Ocular injuries associated with two-wheeled electric transportation devices and motorcycle accidents

Electric bicycles and scooters have gained popularity among riders; studies assessing these device-related injuries have not specified ocular trauma. Our study examined the types and risk factors for ocular and periocular injuries associated with electric devices compared to motorcycle accidents. The study was conducted on the National Trauma Registry database from 20 trauma centers, including patients involved in accidents with electric bicycles, scooters, and motorcycles between 2014 to 2019. Injured riders were assigned into two groups: motorcycle group (M) and electric bicycle & scooter group (E). Data such as gender, age, protective gear use, ocular injury type, injury severity score (ISS), and ocular surgery were captured. Logistic regression models were conducted for injury types and the need for surgery. 8181 M-riders and 3817 E-riders were involved in an accident and hospitalized. E-riders suffered from ocular injury more than M-riders. Males were most vulnerable and the ages of 15–29. Orbital floor fracture was the most common injury, followed by ocular contusion, eyelid laceration, and other ocular wounds. Electric bicycle and scooter riders are more likely to suffer from ocular injury than motorcycle riders. Riders without helmets are at greater risk for injuries, specifically orbital floor fractures. ISS of 16 + was associated with injury demanding ocular surgery.

The Impact of Traffic Information Provision and Prevailing Policy on the Route Choice Behavior of Motorcycles Based on the Stated Preference Experiment: A Preliminary Study

It is anticipated that the prevalence of motorcycles in Asian countries will continue to increase, causing congestion and network imbalances concerning the nature of motorcycles. Literature demonstrates Variable Message Signs (VMSs) as an effective measure for addressing this issue. Understanding route choice behavior may thus aid in determining the appropriate traffic information to broadcast. This study aims to identify the impact of VMS messages related to traffic conditions and regulations on the route choice of motorcycle riders. In this instance, the core concept of ramp metering is adapted for non-highways to manage the proportion of motorcycles entering the traffic stream of the mainline. Two predetermined routes were offered through a stated preference survey to capture the responses to VMS. A binary logit model was initially introduced, further improved by including the individual characteristics and accommodating the unobserved factors across a series of observations (panel effects) by applying the mixed binary logit. It was revealed that traffic flow conditions significantly affect route preference; therefore, motorcycles tend to choose routes with lower volumes. However, waiting time at a ramp meter has no impact. The present research is a preliminary investigation for further implications in proposing traffic management strategies under mixed traffic situations.

Factors Influencing Stopping Locations of Motorcycle Riders on Signalized Urban Intersection Approaches

In developing countries, motorcycle riders normally attempt to stop at their desired locations during queue formation on signalized intersection approaches. Under mixed-traffic conditions, motorcycle positioning in a queue affects the operational and safety performance of the intersection. This study aimed to identify factors influencing motorcycle riders’ stopping locations at signalized urban intersections. This study applied Unmanned Aerial Vehicles (UAVs) to observe the stopping behavior of 1413 motorcycle riders on 24 approaches from 10 signalized intersections in Thailand (N = 1413). Multinomial logistic regression analysis was used to determine the relationship between the stopping locations of motorcycle riders and rider- and motorcycle-related variables and traffic- and environmental-related variables. The statistical analyses presented a Cox and Snell R2 and Nagelkerke R2 of 0.466 and 0.499, respectively, indicating that the model accounted for almost 50% of the variation among the five stopping locations of motorcycle riders. The results showed that, under mixed-traffic conditions in Thailand with left-hand traffic, motorcycle riders intending to turn right, the morning peak period, the presence of shadows, motorcycle riders not wearing helmets, the presence of a larger vehicle in the queue, and the density of desired stopping locations significantly influenced the motorcyclists’ choice of stopping locations on signalized intersection approaches. Practical policy-related recommendations drawn from the findings are provided to improve motorcyclists’ safety on signalized intersection approaches.

Safer road users: Investigating the influence of PRIME road markings on motorcycle rider behaviour

Innovative road markings for motorcyclists, designed as Perceptual Rider Information for Maximising Expertise and Enjoyment (PRIMEs) were installed on the approach to demanding left-hand bends at six trial sites and a comparison site across the West Highlands of Scotland. These road markings were presented as a series of ‘gateways’ to encourage safer riding. Video data were collected to measure motorcycle speed, lateral position, braking and use of the road markings, before and after the PRIMEs were installed. A total of 9,594 motorcyclists were observed. Across the six trial sites, statistically significant reductions in speed were observed (at three sites). Significant changes in lateral position were observed at the final PRIME gateway marking (at one site), and at the apex of the bend (at three sites). Reduced braking was observed at three sites and there was a statistically significant increase in the use of PRIME road markings across four of the sites. No statistically significant effects were observed at the comparison site. These findings are discussed in relation to sustained effects and aspects of the ‘Safe System’ approach that are relevant to reducing motorcycle casualties.

Prevalence and correlates of erectile dysfunction among long-distance commercial vehicle drivers and commercial motorcycle riders in Ibadan Nigeria: a comparative cross-sectional study.

Erectile dysfunction (ED) is a global public health problem that affects the quality of life, interpersonal, occupational, and social functioning of sufferers. Despite being high-risk groups, there is a paucity of data on erectile dysfunction among commercial vehicle drivers and motorcycle riders. We aimed to determine and compare the prevalence and factors associated with ED among long-distance commercial vehicle drivers (CVDs) and commercial motorcycle riders (CMRs) in Ibadan, Nigeria. We used a comparative cross-sectional study design to enroll eligible male respondents in selected motor/motorcycle parks within Ibadan metropolis. Interviewer administered questionnaires were used to elicit sociodemographic/health-related characteristics, and ED status among participants. Data was analyzed using STATA version 12. Chi-square and Binary logistic regression were conducted to explore the association between ED and other covariates. Analyses were performed at 5% significance level. The prevalence of ED was significantly higher among motorcycle riders than vehicle drivers (71.4% vs 47.4%, p = 0.001). Predictors of ED among CMRs were monogamous marriage type and history of perineal injury; while among CVRs were aged above 40-years, history of perineal injury, and current use of alcohol. There is a need for public education and awareness programmes on ED to reduce the burden and improve well-being in these populations.

Key factors associated with traffic crashes and the role of crash experiences in mode choice for school trips – A case study of Can Tho, Vietnam

The present study identifies the determinants of traffic crashes as well as the role of crash experiences in mode choice when commuting to school in Can Tho, a medium-sized city in Vietnam, based on self-reported travel behavior data. In Vietnamese medium-sized cities, the fatality rate has been reported to be 8% higher than the national rate and 19% higher than in larger cities. In addition, private vehicles account for over 90% of travel demand in these cities due to uncontrolled urbanization and the people inhabiting these cities are dependent on motorcycle as a mode of travel. Motorcycle and bicycle riders are the most vulnerable road users, hence those commuting to school by these vehicles are often at risk for crashes. In the present study, a total of 4,358 samples, categorized by ‘self-driving’ and ‘pick-up’ subgroups, were collected and used in the analysis. Of the 2,227 participants in the self-driving group, 313 persons (14.05%) experienced by at least one crash in the preceding year. In the pick-up group, with 2,131 participants, 193 persons (9.06%) experienced at least one crash in the preceding year. Crash model estimation results indicate that the household location, gender with specific age group, motorcycle license, travel characteristics and population density have significant impacts on different levels of the crash outcome in each group. In the mode share model, variables representing crash prevalence, household size, the mobility sources available in the household (for example, the number of bicycles, motorcycles, or cars), household location, gender with specific age group, occupation levels, trip rate, levels of school travel distance, build environment, and some variables of perception, also show significant impacts on different levels of mode choice outcomes in each group. The present study provides an insightful understanding of the behaviors and perception of individuals taking school trips in a medium-sized motorcycle-dependent city. Our results indicate that the culture of using motorcycles is firmly entrenched among citizens and policymakers should attempt to redesign road infrastructure to ensure the safety of motorcycle users in parallel with improving walking and cycling infrastructure.

Implementation of Data Mining to predict sales of Bogo helmets using the Naïve Bayes algorithm

Consumer needs for safety and comfort in driving are very important, especially for two-wheeled or motorcycle riders. A good helmet is a helmet that is safe and comfortable when worn. Helmet qualifications that meet SNI standards are open helmets and closed helmets. Transactions are carried out online, because it was still in a pandemic situation when it was established. By carrying the tag line "Ride Safety With Your Own Style", trying to educate the younger generation to keep paying attention to safety when driving but also not neglecting fashion. For the type of sale of bogo and retro helmet brands, with a variety of colors and affordable prices. A common problem faced is how to predict or forecast future helmet sales based on pre-recorded data. This prediction is very influential on the decision to determine the number of helmets that must be provided, if you order helmets in sufficient quantities and it turns out that only a few helmet sales are sold and this will cause the stock of helmets to accumulate. The results of predictions for the sale of bogo helmets in Baris True Instances amounted to 16 data, which means Valid with 53% data accuracy. Meanwhile, there are 10 data classified as Instancely Classified Instance which means Invalid, with data accuracy of 46.67%. The amount of accuracy in the Weka application is the same as the amount of accuracy in Excel calculations. From the explanation above, the Naïve Bayes algorithm method is the best solution for predicting important things in a business need and others.

Development of psychoacoustics index for motorcycle exhaust noise by multiple regression method

Exhaust sound is an essential characteristic of a motorcycle when it comes to the interest of young motorcycle riders. It has become such an essential characteristic that riders, after looking into the performance, style, and ergonomics, look into the exhaust sound produced by the muffler. It has thus become critical for motorcycle manufacturers to tune their mufflers in such a way that they are appealing to the customers while adhering to sound emission regulations. As per the current trend of Indian motorcycle rider’s scenario, more attention is given to sound attributes like beat feeling, sportiness, and pleasantness. This research paper aims to develop a psychoacoustic model that can rate the exhaust sound of motorcycles targeting the Indian customer’s preferences and interests with regard to the engine exhaust sound. Presently, a study has been carried out on beat feeling, sportiness, and pleasantness, a perceivable attribute of sound in the family of motorcycles. Motorcycle buyers often perceive the exhaust sound of motorcycles in idling conditions at some distance away from the muffler, which formed the basis while recording exhaust sounds. Initially, exhaust sounds were recorded, which led to the calculation of psychometrics as objective variables. The calculated objective variables were given as input to the multiple regression model. A jury panel consisting of experienced NVH professionals and riders evaluated these sounds on a 7-point evaluation scale. These subjective ratings were given as the target variable to the multiple regression model. The obtained model was later validated with subjective data of motorcycles, including those at the prototype stage. Thus, a model has been established to aid exhaust designers in comparing their motorcycle at different prototype stages with the competitor’s vehicle, allowing them to make an early decision with respect to the muffler design modifications, thereby reducing the time-consuming and expensive jury tests.

Effect of wearing helmet on traffic noise-induced health issues of motorcycle riders

IntroductionTransportation noise is a major source of concern in urban areas. Motorcycle riders, on the other hand, are the most exposed to traffic noise while riding. This study was carried out on 363 respondents (no-helmet: 121 respondents, half-face helmet: 121 respondents, and full-face helmet: 121 respondents) who were exposed to traffic noise while riding their motorcycles on the same noisy route, having the same exposure hours. The purpose of this study was to determine whether wearing a helmet protects against various traffic noise-induced psychophysiological health issues. It also tried to determine whether the riders were more affected than the pillion riders as a result of traffic noise exposure. MethodThe psychophysiological factors of the respondents, such as annoyance, tiredness, depression, headache, and sleeping problem, were obtained using a standard questionnaire in accordance with ISO 15666, Beck et al. (1961), and Eriksen et al. (1999), respectively. The effect of wearing a helmet on traffic noise-induced psychophysiological reactions was investigated using structural equation modelling. ResultsSEM route analysis revealed these significant relationships: (i) helmet use and gender (p-value: 0.017), (ii)) helmet use and marital status (p-value: 0.043), (iii) riders/pillion-riders and annoyance (p-value: < 0.001), (iv) riders/pillion-riders and gender (p-value: < 0.001). It was also observed that motorcyclists suffer from higher traffic noise-related health issues than pillion riders. SEM analysis further revealed that use of helmet can negatively affect the traffic noise induced annoyance, tiredness, depression, headache, and sleeping problem. Paired test data shows that there are significant differences in traffic noise induced annoyance level, tiredness, headache, depression, sleeping problems, and equivalent noise level. ConclusionThe use of a full-face helmet protects motorcyclists against a variety of traffic noise-related health problems. Practical implicationsThis study presents a thorough overview of the benefits of wearing a helmet against traffic noise pollution.

PENYULUHAN TENTANG PENGGUNAAN HELM SNI PADA MAHASISWA KESEHATAN MASYARAKAT UNIVERSITAS PAHLAWAN TUANKU TAMBUSAI

Helmets are a form of body protection worn on the head and are usually made of metal or other hard materials such as kevlar, resin fibers, or plastic. Helmets are usually used as head protection for various combat (military) activities, or civilian activities such as sports, mining, or driving. Helmets can provide additional protection of part of the head (depending on the structure) from falling or high-velocity objects. Motorcycle drivers on the highway have behaviors that tend to be more dangerous than other vehicle drivers. This can be seen that there are still many motorcycle drivers who do not use safety attributes, especially helmets to reduce the risk in the event of an accident. In addition to helmets, the attributes of driving equipment must also be considered to make driving safer and more comfortable. Such as using shoes, using a jacket and trousers and if necessary using a mask and gloves, which function to grip the motorcycle handlebars to make it more comfortable and steady (Wibowo, 2011). Severe head injuries account for the largest share of accidents experienced by motorcyclists. Types of head damage in the form of cracks in the cranium, injuries to the forehead or face, the back or sides of the head. This is where the SNI helmet performs its function in order to reduce the level of injury to the head. People's behavior to wear standard helmets is still low, many motorcycle riders still use helmets as they are (not meeting the standards), as well as many circulating non-standard helmets. The price of a standard helmet that is widely sold in the market is relatively expensive, so it is very burdensome for those who have mediocre income. Knowledge, and trust in people who think standard helmets are no different from normal helmets. Standard helmets are considered inconvenient and can reduce vision, especially at night, hot until the wearer sweats. Some of these helmet users just cover their heads so they are not ticketed by police officers.&#x0D; Keywords: Helm SNI, Counseling

Investigation of Motorcycle Handle Vibration Attenuation using a Suspended Handlebar with Different Rubber Mount Characteristics

Motorcycle riders are exposed to prolonged hand-transmitted vibration that can lead to hand numbness and trembling and, in extreme cases, disorders such as the Hand-arm Vibration syndrome (HAVs). The vibration of a motorcycle handle is the result of two major excitation forces, namely the engine vibration and the road-tire vibration. Operating the engine throttle control requires the rider to grip and twist the throttle handle which in turn provides a good vibration transmission path from the handle to the hand. The on-road measurement of hand-arm vibration (HAV) in a rider of an underbone single-cylinder motorcycle show a relatively high value of HAV, with a_hv of 8.28m/s^2. One feasible solution is to attenuate the handlebar vibration transmissibility, by using rubber mounts to create a suspended handlebar. In this study, based on Experimental Modal Analysis (EMA), a hand gripped modal model of the handlebar is developed, and the evaluation is done on the frequency responses of different handlebar designs. The selection criterion is based on the frequency response function (FRF) synthesis index (area under curve) and in this work the area under FRF curve is taken for frequency range of 0 ? 200Hz based on the HAV system. Order analysis of the handle vibration showed higher acceleration level in the z-axis (vertical) compared to the y-axis (horizontal) and for the on-road testing produces, much higher vibration level is determined compared to engine-related vibration due to the tire-road interaction. The suspended handlebar with the best performance is selected for actual on-the-road test, and the result shows a lower a_hv value of 4.08m/s^2 (51% reduction), which significantly increases the vibration exposure limit value (EAV) time from 44 minutes to 3 hours.

The Role of Education in Promoting Safe Motorcycle Riding Behaviors Among Iranian Students: An Application of the Protection Motivation Theory and the Information-Motivation-Behavioral Skills Model

Background: Considering the influential role of teaching safe behaviors in preventing accidents and injuries, this study aims to determine the effect of educational intervention based on protection motivation theory (PMT) and information-motivation-behavioral skills (IMB) model on promoting safe motorcycle riding behaviors in male students at Sabzevar University. Methods: This quasi-experimental study was performed on 100 motorcyclist students at Sabzevar University selected using two-stage cluster sampling method in 2018. After confirming the validity and reliability of the instrument, the questionnaire was completed three times before, immediately, and two months after the educational intervention. The intervention group was held in 9 educational sessions for three weeks. The data were analyzed by SPSS18 software using t-test, chi-square, Fisher's exact test, and repeated measures tests. Results: The mean scores of PMT and IMB and safe behaviors of students in the intervention group immediately and two months after the educational intervention compared to the control group showed a statistically significant increase (p&lt;0.001). The mean scores of the studied constructs and safe behaviors in the intervention group had also a statistically significant change over time (p &lt;0.05). Conclusion: The results indicate the effect of educational intervention based on PMT and IMB on promoting safe behaviors in young students. Face-to-face education and virtual education based on a combination of health education theories can be used to effectively promote safe behaviors of motorcyclist students.

Evasive action characteristics of motorcycle riders towards occluded-surprise and expected pedestrians: A pedestrian mock-up study

Evasive action performance of motorcycle riders plays a vital role in the prevention of road crashes. In possible conflicting scenarios, motorcycle riders need to respond quickly and perform evasive actions successfully to prevent collisions with other vulnerable road users such as crossing pedestrians. To study the motorcycle rider behavior in conflicts with occluded and visible pedestrians, we designed four mock-up pedestrian scenarios, which includes, two surprise scenarios, one stationary scenario, and one expected scenario. Riders’ responses to the conflicts were measured using instrumented vehicle’s trajectory. Most riders preferred deceleration over swerving at the beginning of the interaction, followed by swerving at manageable speeds. Further, the analysis of riders’ deceleration rates revealed that a linear relationship existed between the deceleration rates and time to collisions (TTC). The study also analyzed the riders’ responses using repeated-measures analysis of variance (RM-ANOVA) to check for the effect of scenario type on deceleration rates. Results indicated that scenario type significantly affected the mean deceleration rates. Further, RM-ANOVA analysis carried out on the jerk behavior of motorcycle riders indicated that there was a significant effect of scenario type on the jerk behavior. Motorcycle riders’ jerks varied linearly with TTC and motorcyclists employ relatively higher decelerations and jerks when faced with pedestrians emerging suddenly from occluded locations such as from the blind spots formed due to parked vehicles. This study helps in understanding motorcycle rider behavior in critical situations and shows the need for assistive evasive systems for motorcycle riders to mitigate collisions with other vulnerable road users.

Evaluating gender differences in injury severities of non-helmet wearing motorcyclists: Accommodating temporal shifts and unobserved heterogeneity

With rapid growth in motorcycle use and relatively low helmet-wearing usage rates, injuries and fatalities resulting from motorcycle crashes in Pakistan are a critical concern. To investigate possible temporal instability and differences in the factors that determine resulting injury severities between male and female non-helmet wearing motorcyclists, this study estimated male and female injury severity models using a random parameter logit approach with heterogeneity in means and variances. Motorcycle crash data between 2017 and 2019 from Rawalpindi, Pakistan, were used for the model estimation. With four possible crash injury severity outcomes (injury, minor injury, severe injury, and fatal injury), a wide variety of explanatory variables were considered, including the characteristics of riders, vehicles, roadways, environments, crashes, and temporal considerations. Temporal shifts in the effects of explanatory variables were confirmed using a series of likelihood ratio tests. While the effects of several explanatory variables are relatively temporally stable, those of most variables vary considerably across the years. In addition, out-of-sample simulations underscore the temporal shifts from year to year and the differences between male and female motorcyclist-injury severity. The findings suggest that factors such as effective enforcement countermeasures and relevant educational campaigns can be implemented to reduce injury severity. The statistically significant differences between male and female non-helmeted injury severity models underscore the importance of policies that separately target male and female motorcycle rider safety.