Motorcycle Riders Research Articles

Gender disparities in observed motorcycle helmet use in Madagascar: female motorcyclists behave safer but have lower overall protection

BackgroundAlthough motorcycle helmets can save lives in case of a crash, no helmet use data are available for many countries. When data is available, it is often only analysed as...

Helmet utilisation and its associated factors among motorcyclists in northern Ghana: an analytical cross-sectional survey

BackgroundMotorcycle crashes are a major source of road traffic deaths in northern Ghana. Helmet use has been low. The last time it was formally assessed (2010), helmet use was 30.0%...

Assessing the Self-Report Instruments of Younger Versus Older Riders Involved in Near-Miss Motorcycle Incidents

Road accidents pose severe and pervasive consequences, especially in low- and middle-income countries (LMICs), where both the population and fatal accidents among youth and the elderly are steadily increasing. Therefore, this study aims to develop a model for risky behavior in near-miss incidents among motorcycle riders in Thailand. It intends to compare models between younger and older riders utilizing structural equation modeling (SEM) with a multi-group approach. The data were examined employing modified instruments derived from the Motorcycle Rider Behavior Questionnaire (MRBQ). Samples depicting risky riding behavior were obtained from both younger and older rider groups. Parameter invariance testing revealed differences between the two groups. Control errors notably emerged as the predominant factor contributing to near-miss incidents for both age groups. Speeding was identified as the primary concern for the younger group, while adverse weather conditions were deemed crucial for the older group. Based on this study, policy recommendations endorse the creation of targeted training programs for novice riders, emphasizing adherence to legal speed limits and the adoption of safe riding practices. Additionally, the study underscores the importance of preparing riders, especially those in the older age group, for adverse weather conditions. Doi: 10.28991/CEJ-2024-010-02-019 Full Text: PDF

Tobacco Use and Oral Health Status: A Cross-sectional Study among Commercial Motorcycle Riders in a Suburban Community in Nigeria

Tobacco Use and Oral Health Status: A Cross-sectional Study among Commercial Motorcycle Riders in a Suburban Community in Nigeria

Road safety attitude and behaviour among motorcycle riders in Ghana: A focus on traffic locus of control and health belief.

Road traffic accident is a leading cause of death and various life deformities worldwide. This burden is even higher among motorcycle riders in lower-to-middle-income countries. Despite the various interventions made to address the menace, the fatalities continue to be on the ascendency. One major area that has received little attention is the attitude and behaviour of motorcycle riders. The present study aimed to examine the contribution of traffic Locus of Control (LoC) and health belief on road safety attitude and behaviour. 317 motorcycle riders participated in the study. The participants completed a questionnaire comprising various sections such as motorcycle riding behaviour, road safety attitude, risk perception, the intention to use helmets, and traffic LoC. The results showed a significant positive correlation between road safety attitude and behaviour (r (295) = .33, p < .001). Drifting towards internal LoC was associated with more positive behaviour on the roads (r (295) = -.23, p < .001). Intention to use helmet, health motivation, perceived susceptibility, perceived benefits, and perceived barriers were the factors in the health belief model that were associated with road safety attitude (r (295) = .404, p < .001). Finally, the multiple linear regression model showed that road safety attitude and traffic LoC made significant contributions to road user behaviour [F(3, 293) = 13.73, p < .001]. These findings have important implications towards shaping responsible behaviour among motorcycle riders.

The immediate impact of mandatory helmet law on maxillo-facial trauma: A comparative study in a major trauma center, Uttar Pradesh.

To analyze the effect of the mandatory helmet rule in helmet usage among motorcycle riders and on facial trauma and to determine the significance of difference in the possibility of facial trauma between the helmeted and non-helmeted motorcycle riders. A retrospective comparative study conducted in a major trauma center at Uttar Pradesh. Data for the present study was obtained from records of the Emergency Department of Trauma Center, for a period of two months before and after the implementation of The Motor Vehicles Act in UP. The study included patients with a history of non-fatal motorcycle accidents who sustained facial injuries regardless of the presence of injuries to other areas of the body during the study period. Information regarding helmet usage during the accident was also recorded. The results were compared between the pre-law period and post-law period. Sample t-test was applied to find the level of significance. Out of 219 injured patients, 152 (69.40%) subjects were not wearing helmets, whereas only 67 (30.59%) subjects were wearing helmets. It was observed that around 68.18% of people stated wearing helmets after law implementation with a statistical significance (P value < 0.05). Our study shows that the mandatory helmet rule with elevated penalty rates has significantly increased the usage of helmet among the motorcycle riders, and it also proves that the possibility of facial trauma is significantly higher in non-helmeted riders when compared to helmeted riders.

RoadBuddy: a mobile application to help motorcycle riders

A motorcycle may be used for much more than just traveling. The numerous motorcycle communities found all over the world serve as evidence that riding is for many people a way of life and a really strong socialization tool. With some informal conversations with different motorcyclists it was discovered that during their long trips, most motorcycle riders are faced with a monopoly of problems. Most of the time they are in faraway places, sometimes even in different countries, which encourages them to seek out other bikers traveling the same routes so they can share company and swap stories and search for help. In addition, studies show that people of the same group are more likely to show helpful behavior toward each other than toward people whom they don’t resemble. RoadBuddy app aims to solve those points above by creating a network of help and socialization between motorcyclist drivers. The app has an interactive map where the user can see the localization of nearby motorcyclists and their contacts. This paper describes the RoadBuddy interface and methodology for the next steps of its development.

Helmet and number plate detection

Motorcyclists failing to wear helmets is one of the main reasons why people die in these kinds of crashes. Traditional approaches to ensuring motorcycle riders wear helmets include traffic police manually monitoring intersections or using CCTV footage to detect riders who are not wearing helmets. These techniques, however, necessitate a great deal of human labor and involvement. This system suggests using CCTV footage to automatically recognize non-helmeted motorcyclists and obtain their license plate information. Initially, the system classifies items in motion as either motorbikes or non-motorcycles. The system determines whether or not classed motorcycle riders are wearing helmets. The device uses an OCR technique to obtain the license plate number if the biker is not wearing a helmet.

Proposal of a Preventive Safety System Based on a Lane Change Probability Estimation Model for Motorcycle Riders

Proposal of a Preventive Safety System Based on a Lane Change Probability Estimation Model for Motorcycle Riders

Motorcycle riders enjoy the engine sounds like musical sounds during acceleration

Motorcycle riders enjoy the engine sounds like musical sounds during acceleration

Classifying Motorcycle Rider Helmet on a Low Light Video Scene using Deep Learning

Classifying Motorcycle Rider Helmet on a Low Light Video Scene using Deep Learning

Analysis of the Probability of Driving Distraction for Motorcycle Riders in Medan City

Driving distractionis an activity carried out while driving that causes a division of concentration which can increase the risk of an accident. This research was conducted to determine the probability of motorcyclists engaging in driving distraction according to predetermined conditions. The types of distraction studied were the distraction of using cellphones and talking to passengers. Questionnaires were distributed and direct observations were carried out to obtain the results of mapping driving distraction among motorcyclists in the city of Medan. The results of data analysis using the logit and Probit models show that when driving is distracted using a cellphone is significantly influenced by the variables Driving Time, Weather, Driving Speed, Road Conditions, and Route Type. Meanwhile, distraction from talking to passengers is significantly influenced by the variables weather, driving speed and traffic situation. The conditions that have the most potential for driving distraction to occur are: driving situation in the morning, sunny weather, low speed, road conditions without potholes, smooth traffic situation, 1 lane 2 lane 2 direction undivided type, and quiet road shoulder situation.

Driving Stress Partial Model Considering Time Domain Applying for Two Wheelers Drivers: A Case of Primary Arterial Roads

The physiological response of motorcyclists, which is substantially correlated with driving stress, can be utilised to assess traffic safety. Heart rate and respiratory rate can be used to measure driver tension using the heart rate variability method. This investigation was conducted in Aceh province along the urban arterial roads Jl. T. Nyak Arief and Jl. T. Muhammad Daud Bereueh. This study seeks to provide the anticipated empirical findings for determining the stress threshold of motorcyclists on Banda Aceh's primary arterial roads. The Polar Vantage V2 Smartwatch Multisport measures the pulse rate and respiratory rate of voluntarily participating motorcycle riders. This research was conducted using direct observation and direct observation related to volunteer travel activities as a sample, with volunteers selected at random and questioned about their willingness to participate. Direct interview surveys with volunteers were used to collect socioeconomic information about volunteers. The Multiple Indicators Multiple Causes (MIMIC) model empirically examined which road conditions and land use variables influence driving tension among motorists. The results revealed that the highest heart rate (HR) was recorded in the commercial land use area, at 94.029 beats per minute, while the highest HR was recorded at road bends, at 94.244 beats per minute. The time domain stress model is influenced by land use variables, with the most significant types of land use being offices and education, with the forming variables consisting of SDNN, RMSSD, and TINN.

Overview of musculoskeletal pain complains in motorcycles and car drivers

Background: Motorcycle and car riders in Indonesia have a very high population. This results in the rider's body being in a prolonged static position every day while driving. Motorcycle and car riders are forced to drive a vehicle for at least 1 – 2 hours a day. Prolonged sitting positions can result in some musculoskeletal pain. This study aims to analyze the use of vehicles, both motorcycles and cars, in terms of driving duration and determine the incidence of musculoskeletal pain. Methods: This research uses a descriptive research design with a cross-sectional analysis. The data source for this research is primary data obtained by interviewing and using a questionnaire that refers to the Nordic Body Map to map musculoskeletal pain complaints felt by participants while driving. Results: The total population was 124 people, however, only 88 samples were willing to be research subjects in this study. The results shown that more than 60 percent of respondents felt musculoskeletal pain in their bodies because of driving. Driving for more than 3 hours a day is one of the factor causing the musculoskeletal pain. From the data that has been obtained, it can be seen that musculoskeletal pain is felt in almost all parts of the body. Furthermore, pain in the lower back and neck was the most painful area of the body that felt by the most respondents. The upper back/shoulder is also a part of the body that feels pain almost the same as the neck. Conclusion: Vehicle drivers, both motorcycles and cars, have quite a large percentage of experiencing musculoskeletal pain complaints. The parts of the body that experience the most of musculoskeletal pain complaints are the low back, neck and upper back or shoulders.

Jarak Berhenti Motosikal Berkapasiti Enjin Rendah dengan Brek Anti-kunci

Motorcycles are among the favorite transportation preferred by Malaysians. Almost half of the vehicles registered in Malaysia are motorcycles. This is due to the price affordability and size, where almost 80% of the motorcycles owned are categorized under engine capacity below 250 cc. Similar to other Southeast Asia countries, motorcyclists remain the highest contributor to road traffic fatalities and injuries in Malaysia. The New Car Assessment Program (NCAP), has elevated the importance of safety technology in passenger cars such as antilock braking system (ABS) and autonomous emergency braking (AEB) in order to protect the occupants. However, the limitation of space and power requirements in two-wheel motorcycles deferred the technology implementation. Previous studies have attempted to study the effectiveness of ABS for motorcycles with 250 cc and above. Focusing on the low cc motorcycle of less than 250 cc, this paper compares motorcycle braking distance and rider stability between motorcycles with ABS and motorcycles without ABS during dry and wet conditions. The braking distance produced by ABS is reduced by 50% and 12% in dry and wet conditions respectively. In addition, motorcycles with ABS were tested at higher speeds of 50 km/h. ABS motorcycles shows consistent data for a series of tests. This finding demonstrates the effectiveness of ABS in improving braking performance for low cc motorcycles.

The Effectiveness Against Traffic Violations with Electronic Traffic Law Enforcement

This study aims to determine and analyze the effectiveness of law enforcement against traffic violations with Electronic Traffic Law Enforcement (ETLE) and to identify and analyze the obstacles in law enforcement against traffic violations with Electronic Traffic Law Enforcement (ETLE) and find out the solutions. This research is an empirical juridical research by combining legal materials (which are secondary data) with primary data obtained in the field. The results of this study indicate that the effectiveness of Electronic Traffic Law Enforcement (ETLE) is still less effective in its implementation, judging from the data on violations that are still occurring, which are increasing compared to before the implementation of the ETLE system. Public awareness of compliance in driving on the road is still lacking and tends to ignore traffic signs because there are no police officers on the road. The factor for the ineffectiveness of implementing Electronic Traffic Law Enforcement (ETLE) is the lack of camera equipment installed on every road and every traffic light so that there is a lack of valid data to detect traffic violators and also there are still many violators found on the highway, especially motorcycle riders who do not drive in an orderly manner in the absence of police officers on duty on the road.

Identifying Factors Causing Motorcycle Crashes Among Young Adults in India Using Modified Motorcycle Rider Behavior Questionnaire

Identifying Factors Causing Motorcycle Crashes Among Young Adults in India Using Modified Motorcycle Rider Behavior Questionnaire

Power Quality and Break-Even Points in the Use of Electric Motorcycles in the Case of the Thailand Residential Building

The use of electric motorcycles (EMCs) is rapidly increasing because EMCs are comparable in price to internal combustion engine motorcycles (ICE motorcycles), can be charged at home, and do not cause pollution. However, using EMCs in residential electrical systems is still a new issue in Thailand, as the Thai power grid was not originally designed to support electric vehicle charging. Therefore, the effect that may occur on the electrical system of a house should be studied. In this study, the power quality when charging an EMC in a residential electrical system is investigated by considering the circuits of various electrical devices according to their actual consumption behavior. Three electric motorcycles with battery capacities of 20, 30, and 40 Ah were used to investigate the effects of charging these motorcycles through the electrical system of a house. The experiment was conducted in a laboratory that replicated the electrical system of a house, and the conditions and patterns of power consumption were identical in all three cases. The test results were considered in terms of power quality, voltage harmonics, and current power system harmonics to analyze the effects on the electrical system in each circuit and to compare the charging differences of each motorcycle model. Next, it was determined that using an EMC is more cost-effective than using an ICE motorcycle. ICE motorcycles will eventually be completely replaced by EMCs, and our research will enable informed decision-making for electric motorcycle riders, researchers, and automotive corporations.

Analisis Metode Certainty Factor Pada Sistem Pakar Diagnosa Kerusakan Sepeda Motor

Motorcycles are a predominant mode of transportation in Indonesian society, comprising 84.5% of the total transportation vehicles in 2021 according to national BPS data. Despite providing convenience in mobility, motorcycles are susceptible to disturbances or damages that can hinder normal usage and potentially lead to accidents. Many motorcycle riders lack knowledge or awareness regarding potential issues with their motorcycles. This research aims to analyze the implementation of the certainty factor method in an expert system for identifying motorcycle malfunctions, with a focus on Giska Servis workshop. The certainty factor method serves as a reasoning tool to determine identification outcomes based on identified symptoms. The results of this study are expected to contribute to facilitating motorcycle riders in diagnosing symptoms of malfunctions in their vehicles. The certainty factor method offers a systematic and structured approach to identifying motorcycle issues. Through the implementation of this method, the research attempts to measure the success rate of the expert system in diagnosing malfunctions. Data from the identification results at Giska Servis workshop will be comprehensively analyzed to evaluate the accuracy and effectiveness of the certainty factor method in this context.By highlighting the success of this method, this research is expected to provide valuable insights for the development of expert systems for motorcycle issue identification. The findings of this study can serve as a guide for workshops and motorcycle users to enhance understanding and management of vehicle issues, thereby minimizing the potential for accidents and extending the lifespan of motorcycles.

Analyzing Near-Miss Incidents and Risky Riding Behavior in Thailand: A Comparative Study of Urban and Rural Areas

Preventing near-miss incidents is considered a proactive measure, as it aims to prevent events that have a risk of resulting in accidents. This is regarded as a vital component of building a sustainable and secure society within communities. In the present day, low- and middle-income countries (LMICs) often experience the highest fatality rates from motorcycle accidents, which frequently involve mixed traffic scenarios with other vehicles. The distinct physical characteristics and environmental conditions of roads in urban and rural areas significantly contribute to different riding behaviors. Therefore, the objective of this study is to develop a behavioral model related to near-miss incidents among motorcycle riders in both urban and rural regions using multi-group structural equation modeling (SEM). Data collected from six Thai regions via adapted MRBQ assessed control errors, violations, and safety equipment use in a sample of 2002 riders (1066 urban, 936 rural). Through parameter invariance testing, differences in factor loadings, intercepts, and structural paths were identified between urban and rural areas. All three of these factors significantly influenced near-miss incidents among motorcycle riders in both urban and rural areas. The policy recommendations resulting from this study can contribute to enhancing safety measures for motorcycle riders.