Frequency Of Accidents Research Articles

Bicycle Simulator Use to Evaluate Safety Risks and Perceptions for Enhanced Sustainable Urban Mobility

(1) Background: As cycling gains popularity as a mode of transportation, the frequency of accidents involving cyclists also rises. This has become a major concern for traffic safety, sustainability, and city planning. Identifying the risk factors that contribute to bicycle road accidents remains a significant challenge. This study aims to figure out which risk factors make some road segments more dangerous for cyclists than others. (2) Methods: This study introduces the use of a bicycle simulator to test different road segments involving thirty-nine participants. The impact of demographics and some risk factors related to infrastructure were analyzed in terms of their influence on the perceived level of risk through pre- and post-surveys. (3) Results: The findings showed that the bicycle facility type affects the perceived level of risk. Shared-use roads were ranked as riskiest, while separated bike lanes were least risky. Bicycle roads with no separated safety barriers had higher risks. Heavy traffic jams increased danger among cyclists. Women gave higher risk ratings than men. The perceived levels of risk were then compared with the previously developed risk index and they correlated well. (4) Conclusions: This confirms that the risk index can reliably evaluate the degree of risk of each road segment.

Injuries to the lower limbs and associated injuries in children and adolescents resulting from road traffic incidents

ABSTRACT Background: Fractures occurring in the lower extremities as a result of road traffic accidents (RTAs) can lead to considerable morbidity and constitute a large proportion of nonfatal injuries that necessitate hospitalization. The present study aimed to examine the epidemiology of lower extremity fractures linked with RTAs in pediatric patients. Methods: This is a descriptive retrospective research study carried out between 2015 and 2022 at St. Mary’s Children’s Hospital, Iasi, Romania, targeting the population below the age of 18 years who experienced trauma from RTAs and received treatment from the trauma department. Data pertaining to various aspects, including age distribution, the frequency of accidents, the types of injuries incurred, and surgical treatment, were gathered. Results: The findings revealed a total of 358 cases of RTAs, out of which 112 fit the required criteria, and a total of 22 patients, accounting for 19.64%, had open fractures. Conclusion: This research provides information on lower extremity fractures and associated injuries in the pediatric population living in urban and rural areas throughout the Moldova region in Romania, subsequent to RTAs. The objective is to deliver the most relevant information at the patient’s bedside and provide proper healthcare services.

Prenatal Supplementation of Docosahexaenoic Acid for the Management of Preterm Births: Clinical Information for Practice.

Unhealthy pregnancy and the resultant abnormalities in newborns exhibit a significant drawback. Each year, an estimated 15 million babies are born prematurely, accounting for the majority of deaths among children under the age of 5. India accounts for about a quarter of all preterm birth (PTB) incidences, with few therapeutic options available. However, research shows that consuming more marine foods (rich in omega-3 fatty acids (Ω-3), particularly Docosahexaenoic acid (DHA), helps to maintain a healthy pregnancy and can manage or prevent the onset of PTB and its accompanying difficulties. Present circumstances raise concerns about the use of DHA as a medication due to a lack of evidence on the dosage requirements, safety profile, molecular route, and commercially accessible strength for their therapeutic response. Several clinical experiments have been done over the last decade; however, the mixed outcomes have resulted in discrepancies. Most scientific organizations suggest a daily DHA consumption of 250-300 mg. However, this may differ from person to person. As a result, before prescribing a dosage, one should check the DHA concentrations in the individual's blood and then propose a dose that will benefit both the mother and the unborn. Thus, the review focuses on the favourable benefits of Ω-3, particularly DHA during pregnancy and postpartum, therapeutic dose recommendations, safety considerations, particularly during pregnancy, and the mechanistic pathway that might prevent or reduce the frequency of PTB accidents.

Bibliometric Analysis of Traffic Accident Prediction Studies from 2003 to 2023: Trends, Patterns and Future Directions

Traffic accidents are one of the main causes of fatalities and serious injuries among both adults and children worldwide. Due to the ongoing significant socio-economic losses brought on by traffic accidents, precise estimation of the risk of accidents is crucial to reducing subsequent incidents. For this reason, a significant proportion of the studies in the literature include studies on estimating the risk, severity, frequency, location and duration of accidents. The objective of this article is to identify patterns, gaps and future research trends in traffic accident prediction studies conducted between 2003 and 2023. A bibliometric study is carried out to investigate the links and trends in traffic accident and forecasting studies, with a focus on identifying dominant narratives and networks within the academic community. In the keyword search, 1,566 articles were analysed using the Web of Science main collection and bibliometric indicators such as annual publications and citations, top 10, authors, journals, institutions, most cited articles, and a citation analysis of the articles was presented. The results obtained suggest that the discernible patterns identified in this bibliometric analysis of traffic accidents and their predictions will find a much broader application in new paradigms that are ready to catalyse transformative advances in this field, such as artificial intelligence, machine learning and Industry 4.0 applications.

Enhancing Worker Safety Behaviors Through Proactive Interventions in the Lifting and Transport Equipment Industry

Unsafe worker behavior remains a prevalent issue leading to workplace accidents, particularly within companies specializing in services for head truck operations, maintenance, and lifting equipment. This study aims to enhance worker safety behaviors through proactive interventions utilizing behavioral observation and intervention (BO&I). Additionally, trend analysis is employed to predict the impact of interventions on worker safety behaviors. Mechanical workers involved in lifting and transport equipment operations are surveyed as respondents. The findings reveal a notable increase in the percentage of safe behaviors post-intervention compared to pre-intervention levels. Moreover, disparities in worker safety behaviors between pre- and post-intervention stages are identified, particularly in work stages associated with a high frequency of accidents. Trend analysis forecasts that the maximum percentage of safe worker behavior will be observed at the 91st intervention. Furthermore, binary logistic regression analysis indicates that variables such as age, tenure, utilization of personal protective equipment (PPE), and education significantly influence worker behaviors.

Analyzing road traffic accidents through identification and prioritization of accident-prone areas on the dembecha to injibara highway segment in amhara region, ethiopia

Every year, millions die in road accidents globally, imposing significant economic and humanitarian costs. While road traffic accidents are a major health concern, many developing countries, including Ethiopia, struggle to address this issue effectively. Ethiopia ranks second in East Africa for severe road traffic accidents, highlighting the need for improved injury reduction strategies. This study introduces a novel approach by chronologically identifying and prioritizing accident black spots in the studied area, Ethiopia. This method provides a valuable tool for transportation authorities and traffic police to target high-risk areas for immediate intervention. Focusing on the Dembecha-Injibara highway segment, the study employs both descriptive and inferential analyses, using the Zegeer method to calculate accident rates. It also uses factors of weight contributing to road traffic accidents and their severity to rank accident-prone areas. The findings reveal that areas near Finote Selam, Banja, and Burie are highly prone to severe accidents, with specific accident frequencies and priority values identified. Recommendations are offered to address these high-risk areas and mitigate severe traffic accidents in the study region.

Forensic Profiling of Road Traffic Accident Victims- A Retrospective Study

Background: Road traffic accidents (RTAs) have become a significant public health problem that requires a multi-disciplinary strategy to solve. Every year, 1.35 million people die because of RTAs. The effects of a traffic accident not only cause the sufferer to suffer physically, emotionally, and financially, but they also have a deadly impact on the way the entire family functions. Objectives: This study's objective was to assess the current RTA situation in Manikganj district, determine the injury pattern, explore the causes and frequency of accidents, and find out the sociodemographic characteristics of the victims. Methodology: This retrospective study was carried out in the Manikganj District hospital, Bangladesh, during the period of January, 2019 to December, 2020. Results: During the study period, there were 381 postmortems performed, of which 83 (21.78%) instances involved RTA. Of the victims, 49(59.04%) were men and 34(40.96%) women. Incidence of RTA (24, 28.91%) was the highest among people aged 21 to 30 years. The most accidents happened during the daytime (32, 38.55%). All victims sustained many abrasions and bruises (83, 100%), laceration was present in 46(55.42%), fractured ribs in 33(39.75%), fractured hipbones in 32(38.55%), skull bones fractured in 16(19.27%), head injury in 26 (31.32%) and intracranial haemorrhages in 26(31.32%) cases. Most victims (59, 71.08%) were pedestrians, followed by passengers and drivers. In 83 instances, head injuries accounted for most fatalities (22, 26.53%), followed by multiple traumas, haemorrhagic shock, spinal cord damage, septic shock and crush syndrome. Conclusion: Strict adherence to traffic laws, public awareness campaigns, and adequate driver training all reduce the likelihood of road accidents and lessen their severity. Journal of Monno Medical College December, 2023; 9 (2):53-57

Evaluation of the unavailability of the primary circuit of Triga SSR reactor, importance factors and risk criteria for its components

Abstract Probabilistic Safety Assessment is a tool for improving a nuclear installation and its safety in all its function phases. PSA provides a methodical way of identifying sequences resulting from a wide range of initiating events concerning an accident, and includes systematic and realistic determination of accident frequencies and their consequences. This paper analyzes the unavailability of the TRIGA SSR reactor primary circuit, obtaining the system unavailability value, identifying main contributors to system failure, and calculating risk importance factors. Two cases were considered: one without considering Common Cause Failure (CCF) in the developed fault tree, and the second considering CCF on pumps and heat exchangers lines. The aim was to assess their influence on the primary system’s unavailability. Two importance factors, Fussell–Vesely and Risk Achievement Worth, were employed to identify components with a strong impact on the risk (probability of system failure). These factors aid in enhancing maintenance activities and testing. The analysis utilized the EDFT code, part of the PSAMAN code package developed in SCN-Pitesti.

Research on Protective Effect of Lead Buffer Device under Explosion Load

In modern society, the frequency of explosion accidents is gradually increasing, which brings a great threat to the safety of people's lives and property and social stability. Explosive loads are extremely destructive, with huge energy and powerful impact force released in an instant, capable of causing serious damage to buildings and infrastructure. Therefore, it is of great practical significance to study explosion protection measures in depth and improve the damage resistance of buildings and infrastructure under explosion loads. The traditional underground dispersed layer can reduce the impact of blast load on the structure to a certain extent, but with the continuous improvement of protection requirements, its limitations are gradually revealed. For example, the protection of underground dispersed layers may be less than ideal in some complex explosion situations, and their performance is susceptible to environmental factors such as salinity, consolidation, precipitation and ice, resulting in reduced protection effectiveness. In order to find a more effective solution for explosion protection, the idea of replacing the underground dispersion layer with lead dampers was proposed. As a new type of protective device, lead damper has unique advantages. Lead has good plastic deformation ability, and can absorb a large amount of energy through its own deformation under the action of explosion load, so as to effectively reduce the impact of explosion on the structure. In addition, lead dampers can be customized to meet specific engineering needs, allowing them to better adapt to different explosion scenarios and structural types. The purpose of this study is to further investigate the protective effect of lead dampers instead of underground dispersed layers under blast loads. Through a combination of theoretical analysis, numerical simulation and experimental research, the performance of the lead damper is comprehensively evaluated, and its response mechanism under blast load is analyzed, as well as the advantages and disadvantages compared with the underground dispersed layer. At the same time, the influence of the design parameters of the lead damper on the protection effect will be studied, so as to provide scientific basis and guidance for its application in practical engineering. Through this study, it is expected to provide a new and more effective means of protection for explosion protection engineering, and improve the safety and reliability of buildings and infrastructure under explosion loads. This will not only help reduce the losses caused by explosion accidents and ensure the safety of people's lives and property, but also contribute to the stability and sustainable development of society.

Mapping the relationship between traffic accidents, road network configuration, and urban land use

Understanding the nature of traffic accidents in relation to urban access networks is crucial for building safer and more resilient cities. This paper examines the issue of traffic accidents through the lenses of urban configurational theory and urban land use. Three data layers were used in the study, including space syntax analysis conducted in Depthmap X, geotagged traffic accidents collected by the police department, and geotagged land-use data. The method involved superimposing these data layers and exploring potential correlations using a geographic information system (GIS). The findings indicate significant correlations between the spatial frequency of traffic accidents and the choice measure (at 2500 m), local integration, and active land use. The findings of this study can help inform planners and policymakers about the best location to implement safety measures to reduce the risk of traffic accidents in urban access networks.

Are electric vehicles riskier? A comparative study of driving behaviour and insurance claims for internal combustion engine, hybrid and electric vehicles

Electric vehicles (EVs) differ significantly from their internal combustion engine (ICE) counterparts, with reduced mechanical parts, Lithium-ion batteries and differences in pedal and transmission control. These differences in vehicle operation, coupled with the proliferation of EVs on our roads, warrant an in-depth investigation into the divergent risk profiles and driving behaviour of EVs, Hybrids (HYB) and ICEs. In this unique study, we analyze a novel telematics dataset of 14,642 vehicles in the Netherlands accompanied by accident claims data. We train a Logistic Regression model to predict the occurrence of driver at-fault claims, where an at-fault claim refers to First and Third Party damages where the driver was at fault. Our results reveal that EV drivers are more exposed to incurring at-fault claims than ICE drivers despite their lower average mileage. Additionally, we investigate the financial implications of these increased at-fault claims likelihoods and have found that EVs experience a 6.7% increase in significant first-party damage costs compared to ICE. When analyzing driver behaviour, we found that EVs and HYBs record fewer harsh acceleration, braking, cornering and speeding events than ICE. However, these reduced harsh events do not translate to reducing claims frequency for EVs. This research finds evidence of a higher frequency of accidents caused by Electric Vehicles. This burden should be considered explicitly by regulators, manufacturers, businesses and the general public when evaluating the cost of transitioning to alternative fuel vehicles.

Optimized feature selection approaches for accident classification to enhance road safety

In the modern era, the issue of road accidents has become an increasingly critical global concern, requiring urgent attention and innovative solutions. This investigation has compiled an extensive dataset of 10,356 accident occurrences that occurred between the years 2018 and 2022 in Ernakulam district. By utilizing advanced feature selection methodologies, such as genetic algorithm and coyote optimization, this research has identified pivotal accident determinants. The study harnesses the potential of deep learning techniques, encompassing recurrent neural network (RNN), gated recurrent unit (GRU), long short-term memory (LSTM), and multilayer perceptron (MLP) for classifying accidents according to severity (categorized as fatal, grievous, and severe). Eight predictive models are trained using the dataset, and the top two are ensembled. Integrating deep learning and optimization strategies, this research aims to create a robust accident classification system. The system will help in developing proactive policies that can reduce the frequency and severity of accidents in Ernakulam district. <div style="position: absolute; display: none; z-index: 16777271;"> </div>

Development of an integrated framework to implement the nuclear safety goals with various safety criteria

The question “How safe is safe enough?” has been raised since the start of nuclear power plant (NPP) operations in the 1950s, and to address this issue, the Nuclear Regulatory Commission (NRC) of the United States (U.S.) introduced the concept of safety goals in the mid-1980s. In the U.S., the safety goal is called the 0.1 % rule because it requires that the additional risk imposed on individuals and society by the operation of a new NPP should not exceed one-tenth of one percent (0.1 %) of the total risk resulting from other factors to which members of the U.S. population are generally exposed. Nordic countries Sweden and Finland have taken a different approach to setting safety goals for NPPs than the U.S. by introducing requirements for the amount and frequency of cesium-137 (Cs-137) releases. In the case of the Republic of Korea, the regulatory body introduced nuclear safety goals following amendments to the Nuclear Safety Act in 2016. Korea adopted the same safety goal of the 0.1 % rule of the U.S. and simultaneously introduced the Cs-137-related safety goal, which requires that the total frequency of NPP accidents in which the release of Cs-137 exceeds 100 TBq is less than or equal to 1.0E-6 per year. The latter was introduced as a safety goal to protect the environment. Furthermore, while Canada, which has also formally adopted the Cs-137-related safety goal, and Finland require this goal to be applied only to new NPPs, the Korean regulatory body requires the Cs-137-related safety goal to be applied to both operating and new NPPs. Thus, various safety criteria are used in the Korean nuclear safety goals. The use of various safety criteria as in the Korean nuclear safety goals might cause several issues in the practical application of those safety criteria. In this paper, I examine these issues from three main perspectives: (1) consistency, (2) assessment framework, and (3) practical application. I propose several methods to resolve these issues, and also recommend a new integrated framework to implement the safety goals with various safety criteria based on the proposed methods.

Pricing weekly motor insurance drivers’ with behavioral and contextual telematics data

Telematics boxes integrated into vehicles are instrumental in capturing driving data encompassing behavioral and contextual information, including speed, distance travelled by road type, and time of day. These data can be amalgamated with drivers' individual attributes and reported accident occurrences to their respective insurance providers. Our study analyzes a substantial sample size of 19,214 individual drivers over a span of 55 weeks, covering a cumulative distance of 181.4 million kilometers driven. Utilizing this dataset, we develop predictive models for weekly accident frequency. As anticipated based on prior research with yearly data, our findings affirm that behavioral traits, such as instances of excessive speed, and contextual data pertaining to road type and time of day significantly aid in ratemaking design. The predictive models enable the creation of driving scores and personalized warnings, presenting a potential to enhance traffic safety by alerting drivers to perilous conditions. Our discussion delves into the construction of multiplicative scores derived from Poisson regression, contrasting them with additive scores resulting from a linear probability model approach, which offer greater communicability. Furthermore, we demonstrate that the inclusion of lagged behavioral and contextual factors not only enhances prediction accuracy but also lays the foundation for a diverse range of usage-based insurance schemes for weekly payments.

Magnitude and determinants of road traffic accidents in North Gondar Zone; Amhara Region, Ethiopia

Background Road traffic accidents are a severe health concern in Ethiopia. This study aims to examine the primary contributing variables of road traffic accidents in Ethiopia, North Gondar Zone, under 24 administrative wereda’s. Methods This study utilized secondary data collected from both the werda-level and North Gondar central-level offices within the study areas. The sector police typically submit reports to the zonal-level offices annually. Information regarding crashes, fatalities, and injuries during the study period was extracted from these police reports. The research focused on analyzing the frequency and severity of traffic accidents attributed to various factors of drivers, vehicles, road conditions, pedestrians, and environmental influences. Results In a sample of 603 aggregate road traffic accidents, the data reveals that the majority of damage results are attributed to young drivers, accounting for 58% of the cases, with junior grade level drivers contributing 29.4%. Driving without a license was a significant factor, representing 87%, while accidents involving recruited driver stood at 63.2%. Vehicles with small to articulated trucks contributing to 39%. Mechanical failures were prevalent, with an unknown diagnosis rate of 48.3%. Vehicles in service for 2-5 years accounted for 29.4%. Road surface conditions were 46%, while rural roads saw a higher percentage at 51.2%. Weather conditions played a role also influential, as dry asphalt and gravel roads under main access ownership were linked to of accident, with 91.2% occurring during visible daylight hours between 8:00-12:00 and 15:00-17:00. The victims were predominantly farmers at 49.6%, followed by students at 23%. Conclusions To reduce road traffic accidents in the study area, it is essential to manage causative factors such as driver and road users, vehicles, roads, pedestrians, and environmental behaviors. The study suggests the development of a successful, up-to-date traffic accident database system regionally within respective offices.

"What you Say Matters": Review of Clinical Outcome of Advanced Medical Directives Between Cancer and Non-cancer Patients in a Chinese Culture Society.

Advance medical directives (AMD) are statements made by individuals indicating the life-sustaining treatment that they would refuse in the future when they lost their mental capacity for medical decisions. While the proposal for the AMD legislation is ongoing locally in Hong Kong SAR, there are limited reviews on the clinical outcomes associated with it. To provide a comprehensive review on clinical outcomes of signed AMD. Retrospective, multi-center study, which includes AMD signed within five cluster hospitals. Records of signed AMD from 1st JAN 2020 to 31st DEC 2022 were retrieved from a central registry. Clinical information of each patient was obtained from the electronic patient record. 456 patients with documented AMD were included in the study. 91.6% of AMD were signed by palliative care (PC) team. Majority (74.6%) of the patients were accompanied by family members or friends when AMD were signed. The concordance rate between the AMD and the medical care received was 89.5%. No patient revoked their AMD. Cancer and non-cancer patients showed similar rates of AMD concordance, frequency of Accident & Emergency Department (AED) visits or acute ward admissions, duration of hospital stays in the 30days before death, and prevalence of receiving invasive or intensive treatments. Our study demonstrated that PC team currently plays a pivotal role in AMD completion, and AMD remains important in ensuring patients' care preferences are executed across different medical conditions. With the upcoming AMD legislation in Hong Kong SAR, adequate promotion and education should be launched.

Developing accident frequency prediction models for urban roads: A case study in São Paulo, Brazil

The growing number of vehicles and the evolving behaviour of road users present new and additional challenges to road safety. Study on the variables that influence the frequency of crash occurrences such as road geometry, junction, speed and land use are needed as they have proven effects on the number and severity of crashes. In this paper, we identify and assess the variables, namely road geometry, vehicle speed, traffic volume, land use and junction type, and develop accident frequency prediction models for a main urban transport corridor in São Paulo, Brazil. Crash data was provided by the traffic management company of the city, other datasets were obtained from a mix of primary and secondary sources including roadside cameras, Geographic Information Systems (GIS) and digital mapping tools. The studied road was segmented and the coefficients associated with variables in the segments were obtained using Poisson regression through a stepwise variable selection procedure. Two models with junctions density per type (access/km, T-junction unsignalised/km, T-junction signalised/km and crossroads/km) and junction density per merged type (signalised/km and unsignalised/km) along with land use per type (commercial and residential) are developed. The junction density and land use are found to be significant and positively correlated with crash frequency. The models were evaluated by statistical means for their accuracy of predicting the crashes, and validated with additional information obtained from field observation.

Risk Analysis of Jet A-1 Tank Filling and Storage Processes at the Shorebase

Coastal Logistics Centers (CLS) provide logistics support to deep-sea drilling operations. Jet A-1 (helifuel), required for helicopters that transfer personnel to drilling ships, is filled into tanks from the tanker arriving at CLS and stored in open areas. Jet A-1 is a hazardous chemical with flammable and toxic effects and can also explode when exposed to flame. Risk analysis of this hazardous chemical is essential for CLS. This study aimed to determine the process hazards and risk analysis in the filling and storage operation of Jet A-1 from tankers to tanks. For this purpose, the Preliminary Hazard List (PHL) and Preliminary Hazard Analysis (PHA) were performed. Then, a Hazard and Operability (HAZOP) study was carried out based on these analysis results. The HAZOP study identified Jet A-1 overflow from the tank as a high-risk event. Afterward, Event Tree Analysis (ETA) was performed on the initial event of Jet A-1 spilling due to tank overflow. In ETA analysis, immediate ignition, delayed ignition, and explosion probabilities resulting from delayed ignition were calculated with the CCPS (Center for Chemical Process Safety) Module. The probability and frequency values of accident scenarios were calculated as P=0.0028, f=1.736 x10-4 year-1 for jet fire, P=0.0225, f=1.395x10-3 year-1 for vapor cloud explosion, P=0.127, f=7.874x10-3 year-1 for flash fire, P=0.847, f = 0.0525 year-1 for toxic release, respectively. It was determined that all accident scenario frequency values were above the legislation threshold value (10-4 year-1). Design solutions and preventive measures have been proposed to reduce risks. The combination of risk analysis methods is effective in risk assessment studies.

Deep neural network-based probabilistic classifier of occupational accident types on a construction site in Korea

ABSTRACT The number of accidents in the Korean construction industry has been increasing rapidly, reaching about 25,000 every year. Although strong and binding laws and systems have been implemented to reduce accidents in the construction industry, the frequency of accidents is still higher than that of other industries. While existing studies have provided models for predicting occupational accidents, there are limitations in predicting individual workers’ occupational accidents specific to site conditions and worker tasks. This study proposed a deep neural network model that can classify and predict core accident types for workers in construction sites, considering the characteristics of the site and workers based on 70,204 case data from the Korea Occupational Safety and Health Agency. The result of this study would contribute to improve safety in construction sites by being used for safety accident prevention training customized for workers at construction sites. Additionally, the model can be expanded to develop a real-time construction site occupational accident monitoring and early warning system by integrating ICT-based safety management technologies such as wearable devices and CCTV.

Road Accident Proneness among Motorcyclist in Malaysia: A Structural Equation Modeling Approach

Concern has been expressed by people living in all parts of Malaysia regarding the high number of traffic accidents. This study demonstrates that a mix of human qualities may be responsible for the increase in the accident rate experienced by motorcyclists while they are travelling on public roadways. There is a possibility that human factors, such as riding anger, riding attitude, and a lack of mindfulness, are the most common causes of motorcycle accidents. Research on the frequency of traffic accidents in Malaysia is still in its preliminary stages. The purpose of this study is to evaluate the association between riding anger, riding attitude, mindful driving, and the likelihood of being involved in a road accident. This investigation makes use of a quantitative methodology by means of a questionnaire that is disseminated to customers who are shopping at licenced Yamaha dealers in Kuala Lumpur and Selangor. The findings of structural equation modelling indicate that factors such as riding anger, riding attitude, and mindfulness have a significant impact on the likelihood of being involved in a road accident. The explanation of the current study, which includes both theoretical and practical relevance, as well as suggestions for reducing the number of accidents involving people who use roads, is presented here.