Displaying publications 1 - 20 of 416 in total

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  1. Fang K, Azizan SA, Huang H
    Sci Rep, 2024 Apr 07;14(1):8139.
    PMID: 38584168 DOI: 10.1038/s41598-024-58712-5
    Pedestrian safety, particularly for children, relies on well-designed pathways. Child-friendly pathways play a crucial role in safeguarding young pedestrians. Shared spaces accommodating both vehicles and walkers can bring benefits to pedestrians. However, active children playing near these pathways are prone to accidents. This research aims to develop an efficient method for planning child-friendly pedestrian pathways, taking into account community development and the specific needs of children. A mixed-methods approach was employed, utilizing the Datang community in Guangzhou, China, as a case study. This approach combined drawing techniques with GIS data analysis. Drawing methods were utilized to identify points of interest for children aged 2-6. The qualitative and quantitative fuzzy analytic hierarchy process assessed factors influencing pathway planning, assigning appropriate weights. The weighted superposition analysis method constructed a comprehensive cost grid, considering various community elements. To streamline the planning process, a GIS tool was developed based on the identified factors, resulting in a practical, child-friendly pedestrian pathway network. Results indicate that this method efficiently creates child-friendly pathways, ensuring optimal connectivity within the planned road network.
    Matched MeSH terms: Accidents, Traffic
  2. Waqar A
    Environ Sci Pollut Res Int, 2024 Feb;31(7):10853-10873.
    PMID: 38214856 DOI: 10.1007/s11356-024-31844-x
    Contamination of groundwater by harmful substances poses significant risks to both drinking water sources and aquatic ecosystems, making it a critical environmental concern. Most on-land spill events release organic molecules known as light non-aqueous phase liquids (LNAPLs), which then seep into the ground. Due to their low density and organic composition, they tend to float as they reach the water table. LNAPLs encompass a wide range of non-aqueous phase liquids, including various petroleum products, and can, over time, develop carcinogenic chemicals in water. However, due to frequent changes in hydraulic head, the confinement may fail to contain them, causing them to extend outward. When it contaminates water wells, people cannot reliably consume the water. The removal of dangerous contaminants from groundwater aquifers is made more challenging by LNAPLs. It is imperative to analyze the mechanisms governing LNAPL migration. As a response to this need and the associated dispersion of contaminants into adjacent aquifers, we have conducted a comprehensive qualitative literature review encompassing the years 2000-2022. Groundwater variability, soil structure, and precipitation have been identified as the three primary influential factors, ranked in the following order of significance. The rate of migration is shown to rise dramatically in response to changes in groundwater levels. Different saturation zones and confinement have a major effect on the lateral migration velocity. When the various saturation zones reach a balance, LNAPLs will stop moving. Although higher confinement slows the rate of lateral migration, it speeds up vertical migration. Beyond this, the lateral or vertical movement is also influenced by differences in the permeability of soil strata. Reduced mobility and tighter containment are the outcomes of migrating through fine-grained, low-porosity sand. The gaseous and liquid phases of LNAPLs move more quickly through coarse-grained soils. Due to the complexities and uncertainties associated with LNAPL behavior, accurately foreseeing the future spread of LNAPLs can be challenging. Although studies have utilized modeling techniques to simulate and predict LNAPL migration, the inherent complexities and uncertainties in the subsurface environment make it difficult to precisely predict the extent of LNAPL spread in the future. The granular soil structure considerably affects the porosity and pore pressure.
    Matched MeSH terms: Accidents
  3. George II, Nawawi MGM, Mohd ZJ, Farah BS
    Environ Sci Pollut Res Int, 2024 Jan;31(2):1719-1747.
    PMID: 38055166 DOI: 10.1007/s11356-023-31117-z
    Nigeria has struggled to meet sustainable development goals (SDGs) on environmental sustainability, transportation, and petroleum product distribution for decades, endangering human and ecological health. Petroleum product spills contaminate soil, water, and air, harming humans, aquatic life, and biodiversity. The oil and gas industry contributes to environmental sustainability and scientific and technological advancement through its supply chain activities in the transport and logistics sectors. This paper reviewed the effects of petroleum product transportation at three accident hotspots on Nigeria highway, where traffic and accident records are alarming due to the road axis connecting the southern and northern regions of the country. The preliminary data was statistically analysed to optimise the review process and reduce risk factors through ongoing data monitoring. Studies on Nigeria's petroleum product transportation spills and environmental impacts between the years 2013 and 2023 were critically analysed to generate updated information. The searches include Scopus, PubMed, and Google Scholar. Five hundred and forty peer-reviewed studies were analysed, and recommendations were established through the conclusions. The findings show that petroleum product transport causes heavy metal deposition in the environment as heavy metals damage aquatic life and build up in the food chain, posing a health risk to humans. The study revealed that petroleum product spills have far-reaching environmental repercussions and, therefore, recommended that petroleum product spills must be mitigated immediately. Furthermore, the study revealed that better spill response and stricter legislation are needed to reduce spills, while remediation is necessary to lessen the effects of spills on environmental and human health.
    Matched MeSH terms: Accidents
  4. Fadzil SS, Bulgiba A
    Asia Pac J Public Health, 2024 Jan;36(1):119-122.
    PMID: 37864305 DOI: 10.1177/10105395231207234
    Commuting accidents account for 48% of work-related accidents in Malaysia. However, commuting accidents among health care workers are understudied and formally reported commuting accident numbers among nurses are likely to be an underestimate of actual numbers. This is the first study in Malaysia to attempt to establish the true incidence and associated factors for commuting accidents among nurses in Malaysia. A cross-sectional study was conducted to determine the true incidence of commuting accidents and its associated factors among public hospital nurses in Selangor, Malaysia. A validated and pilot-tested self-reported questionnaires were distributed to all nurses via an online-based platform. This study found a significant difference between the incidence of formally reported and self-reported commuting accidents from 2018 to 2022, with incidence rates ranging between 0.3 and 8.6 per 1000 nurses. Multivariable logistic regression showed that nurses working in district hospitals had lower odds to be involved in commuting accidents, while nurses working in clinical departments and traveling longer distances between home and workplaces had increased odds of commuting accidents.
    Matched MeSH terms: Accidents*
  5. Harith AA, Mohamed Z, Mohammad A, Lim KK, Reffin N, Mohd Fadzil M, et al.
    Med J Malaysia, 2023 Sep;78(5):653-660.
    PMID: 37775494
    INTRODUCTION: Healthcare drivers, including ambulance drivers, were less concerned about health and safety during the COVID-19 pandemic, with not only the risk of COVID-19 infection but also a higher risk of prolonged states of alertness, stress, burnout, fatigue and road traffic accident. This study aimed to determine the prevalence of stress and its associated factors among healthcare drivers, especially during the COVID-19 pandemic.

    MATERIALS AND METHODS: This study employs a crosssectional study design and utilises self-reported data obtained from locally validated personal stress inventory questionnaires. The data collection period spanned from August 1 to 31, 2020. The study sample consisted of 163 healthcare drivers affiliated with the Negeri Sembilan State Health Department. The Chi-square test and Fisher's exact test were the first used to determine the association between variables prior to conducting multiple logistic regression to predict the relationship between dependent and independent variables.

    RESULTS: In COVID-19's first year, 7.4% (n = 12) of healthcare drivers reported perceived stress with ambulance drivers reporting more stress (10.6%; n = 5) than non-ambulance drivers (6.0%; n = 7). Simple statistical analysis identified perceived stress significantly associated with household income, smoking status and performing on-call. Further analysis by multiple logistic regression found that perceived stress was significantly related to smoking (aOR 19.9, 95% CI: 1.86-213.90), and performing on-call (aOR 8.69, 95% CI 1.21-62.28). Nevertheless, no association was found between perceived stress and age, ethnicity, marital status, education, household income, co-morbidities, driving assignment, employment duration, needing a part-time job or motor vehicle accident history.

    CONCLUSION: The study found that the perceived stress amongst Malaysian healthcare drivers during the COVID-19 pandemic was relatively low. This could be due to fewer lifethreatening tasks, emergencies, assigned tasks and increase income due to overtime during the COVD-19 pandemic. The OSH team's efforts to provide consistent safety and health training, including stress management, may have contributed to the healthcare driver's ability to effectively manage the stressful circumstances encountered during the pandemic. In order to enhance salary competitiveness, employers should provide financial management education alongside subsidised housing and childcare provisions. Healthcare drivers who smoke should be taught different stress reduction techniques so that they can handle their stress in a healthy way.

    Matched MeSH terms: Accidents, Traffic
  6. Soong MF, Ramli R, Saifizul AA, Goh KY, Long SX
    PLoS One, 2023;18(1):e0280290.
    PMID: 36662679 DOI: 10.1371/journal.pone.0280290
    The inerter is a two-terminal component that can be added to the spring-and-damper configuration of a suspension system. It has the property that the force exerted is proportional to the relative acceleration at its terminals. Studies have demonstrated the inerter's benefit of providing superior vibration isolation when it is used in the vehicle suspension of passenger cars. However, similar benefit on another common vehicle class on the roads, namely heavy vehicles, remain to be shown, as these vehicles have vastly different parameter values than passenger cars. This study is an investigation on the performance improvement brought by an inerter in the suspension of common heavy vehicles. In the study, the parameter values of a truck and a bus were adopted in the quarter vehicle model with two different spring-damper-inerter configurations (parallel and serial inerter), and the improvements in vibration isolation and road holding capability were determined by optimization of inertance. Results show that the inerter is similarly effective in providing the said improvements when implemented on heavy vehicles instead of on passenger cars, judging from reductions in sprung mass acceleration and dynamic tire load. It is also observed that the performance benefit is associated with larger optimum inertance than that for passenger cars. Overall, the inerter has been shown to be beneficial in the parallel and serial configurations, both of which are common and can be practically implemented in the suspension of heavy vehicles.
    Matched MeSH terms: Accidents, Traffic*
  7. Teh J, Mazlan M, Danaee M, Waran RJ, Waran V
    PLoS One, 2023;18(9):e0284484.
    PMID: 37703233 DOI: 10.1371/journal.pone.0284484
    OBJECTIVE: Road traffic accident (RTA) is the major cause of traumatic brain injury (TBI) in developing countries and affects mostly young adult population. This research aimed to describe the factors predicting functional outcome after TBI caused by RTA in a Malaysian setting.

    METHODS: This was a retrospective cross-sectional study conducted on specialist medical reports written from 2009 to 2019, involving patients who survived after TBI from RTA. The functional outcome was assessed using the Glasgow Outcome Scale-Extended (GOSE). Factors associated with good outcome were analysed via logistic regression analysis. Multivariate logistic regression analysis was used to derive the best fitting Prediction Model and split-sample cross-validation was performed to develop a prediction model.

    RESULTS: A total of 1939 reports were evaluated. The mean age of the study participants was 32.4 ± 13.7 years. Most patients were male, less than 40, and with average post RTA of two years. Good outcome (GOSE score 7 & 8) was reported in 30.3% of the patients. Factors significantly affecting functional outcome include age, gender, ethnicity, marital status, education level, severity of brain injury, neurosurgical intervention, ICU admission, presence of inpatient complications, cognitive impairment, post-traumatic headache, post traumatic seizures, presence of significant behavioural issue; and residence post discharge (p<0.05). After adjusting for confounding factors, prediction model identified age less than 40, mild TBI, absence of post traumatic seizure, absence of behaviour issue, absence of cognitive impairment and independent living post TBI as significant predictors of good functional outcome post trauma. Discrimination of the model was acceptable (C-statistic, 0.67; p<0.001, 95% CI: 0.62-0.73).

    CONCLUSION: Good functional outcome following TBI due to RTA in this study population is comparable to other low to middle income countries but lower than high income countries. Factors influencing outcome such as seizure, cognitive and behavioural issues, and independent living post injury should be addressed early to achieve favourable long-term outcomes.

    Matched MeSH terms: Accidents, Traffic
  8. Al-Mekhlafi AA, Isha ASN, Al-Quraishi MS, Kanwal N
    Front Public Health, 2023;11:1160317.
    PMID: 37869200 DOI: 10.3389/fpubh.2023.1160317
    INTRODUCTION: Driving fatigue has been shown to increase the risk of accidents and potentially fatal crashes. Fatigue is a serious risk that some drivers do not take seriously. Previous studies investigated the effects of driving fatigue in the Malaysian oil and gas transportation industry by employing survey questionnaires. However, they did not explain the behavior of fatigue. Besides, these results required validation by a more reliable method that can describe how fatigue occurs.

    METHODS: Thus, in this study, we used the Psychomotor Vigilance Test (PVT-192) and a short survey to address driving fatigue behavior and identify the influences of driving fatigue on driving performance in real life (on the road) with actual oil and gas tanker drivers. The total participants in the experimental study were 58 drivers.

    RESULTS: For the analysis, a Wilcoxon Signed Ranks Test, Z value and Spearman's rho were used to measure the significant difference between the pre and post-tests of PVT and the correlation between the fatigue variables and driving performance.

    DISCUSSION: During the experiment's first and second days, this study's results indicated that driving fatigue gradually escalated. Likewise, there was a negative correlation based on the test of the relationship between the PVT data and the driving performance survey data. Additionally, the drivers suffer from accumulative fatigue, which requires more effort from the transportation company management to promote the drivers awareness of fatigue consequences.

    Matched MeSH terms: Accidents, Traffic*
  9. Abu Aisheh YI, Tayeh BA, Alaloul WS, Almalki A
    Int J Occup Saf Ergon, 2022 Dec;28(4):1981-1993.
    PMID: 34126867 DOI: 10.1080/10803548.2021.1942648
    Objectives. Lean construction techniques have been considered an effective approach and strategy to reduce accidents in construction projects. This article aims to investigate the application of the lean construction principle and its impact on occupational health and safety. Methods. To achieve the aim, an analytical descriptive method was used. The data were collected through a questionnaire, with 70 respondents who were chosen using a random stratified sample method. The questionnaire evaluated the perception of contractors and consultants about the important lean construction factors and their impact on construction project safety. Results. There is an agreement that the application of lean construction techniques can be impeded by challenges like lack of lean construction knowledge, complexity, misconception about lean construction and difficulties in changing employees. Conclusions. The study identified strategies that could be used to address these challenges that will improve the safety of construction projects. These include enlightenment on benefits of the lean practice, publication of improvements realized from lean practice, training, workers' involvement and empowerment, persistence, robust planning and gradual implementation.
    Matched MeSH terms: Accidents, Occupational/prevention & control
  10. Kabyl A, Yang M, Shah D, Ahmad A
    Int J Environ Res Public Health, 2022 Nov 17;19(22).
    PMID: 36429909 DOI: 10.3390/ijerph192215190
    Oil spills are environmental pollution events that occur due to natural disasters or human activities, resulting in a liquid petroleum hydrocarbon release in the environment, especially into the marine ecosystem. Once oil spills happen, they cause detrimental consequences to the environment, living organisms, and humans. Although there are increasing oil and gas activities in the Arctic region, which is abundant with undiscovered oil and gas resources, the harsh environmental conditions of the region, such as the ice coverage, cold temperatures, long periods of darkness, and its remoteness, pose significant challenges to managing the risk of accidental oil spills in ice-infested waters. In this paper, a bibliometric analysis has been applied to study the global work on oil spill research in ice-infested waters. The paper aims to present an overview of the available oil spill response methods in ice-infested waters, identify the current trends of the research on oil spills in ice-infested waters, and determine the challenges with the future research directions based on the bibliometric analysis. The analysis includes a total number of 77 articles that have been published in this research field which were available in the Scopus database, involving 193 authors from 17 countries dating from 1960 to September 2022. During the bibliometric analysis, the top five most productive authors and countries as well as the most cited publications on oil spills in ice-infested waters have been identified; the authors' cooperation network and the cooperation network between the countries in oil spills research in ice-infested waters have been created; a co-citation analysis and a terms analysis have been performed to identify the popular terms and topics. For future directions, it is recommended for researchers (1) to study real oil spills as much as possible to obtain a good overview through replication under different situations; (2) to develop a new technique for the careful examination and management of the potential risks; (3) to study oil separation from the recovered oil-ice mixture.
    Matched MeSH terms: Accidents
  11. Nabil S, Nordin R, Rashdi MF
    J Oral Maxillofac Surg, 2022 Nov;80(11):1784-1794.
    PMID: 36049531 DOI: 10.1016/j.joms.2022.07.144
    PURPOSE: The unprotected nature of motorcycle riding exposes motorcyclists to an elevated risk of sustaining facial soft tissue injuries (STIs); however, its link with underlying facial bone fractures remains unexplored. The purpose of this study is to determine whether the type and site of STI sustained by motorcyclists were associated with the presence of underlying facial bone fractures.

    MATERIALS AND METHODS: This was a retrospective cohort study of patients identified from the Oral and Maxillofacial Surgery Department of Universiti Kebangsaan Malaysia Medical Center trauma census who had motorcycle-related injury and met the inclusion criteria. The primary predictor variable was the type (laceration, contusion, abrasion, and no injuries) and site of STIs sustained. The site of the facial STI was categorized as per 17 different zones based upon the modified MCFONTZL classification. The primary outcome variable was the presence or absence of facial bone fractures as determined from the computed tomography scan. Descriptive and bivariate statistics were computed to measure the association between sustaining facial bone fractures and type/site of STI.

    RESULTS: Seventy three patients (65 men and 8 women) were included in this study. The average age was 31.9 years (standard deviation ± 13.6) with a range of 18 to 70 years. There were 1,241 facial zones being assessed with 285 (23%) and 214 (17%) zones having STI and fractures, respectively. Laceration (124/285, 43%) and the orbital zone (53/285, 19%) were the most common type and site of STI, respectively, among motorcyclists. Facial bone fractures are more commonly seen following STI in the midface (71% of STI had fractures) compared to upper face (53%) and lower face (31%). Sustaining laceration type of STI was not associated with a higher rate of facial bone fracture when compared with other type of STI (54.8% vs 55.9%, P = .858) with the exception of laceration in the frontal zone (42.9% vs 10.5%, P = .022).

    CONCLUSIONS: The different types of STI in the facial area cannot be used as a predictor for sustaining underlying facial bone fractures.

    Matched MeSH terms: Accidents
  12. Al-Hussein WA, Li W, Por LY, Ku CS, Alredany WHD, Leesri T, et al.
    Int J Environ Res Public Health, 2022 Sep 07;19(18).
    PMID: 36141497 DOI: 10.3390/ijerph191811224
    The spread of the novel coronavirus COVID-19 resulted in unprecedented worldwide countermeasures such as lockdowns and suspensions of all retail, recreational, and religious activities for the majority of 2020. Nonetheless, no adequate scientific data have been provided thus far about the impact of COVID-19 on driving behavior and road safety, especially in Malaysia. This study examined the effect of COVID-19 on driving behavior using naturalistic driving data. This was accomplished by comparing the driving behaviors of the same drivers in three periods: before COVID-19 lockdown, during COVID-19 lockdown, and after COVID-19 lockdown. Thirty people were previously recruited in 2019 to drive an instrumental vehicle on a 25 km route while recording their driving data such as speed, acceleration, deceleration, distance to vehicle ahead, and steering. The data acquisition system incorporated various sensors such as an OBDII reader, a lidar, two ultrasonic sensors, an IMU, and a GPS. The same individuals were contacted again in 2020 to drive the same vehicle on the same route in order to capture their driving behavior during the COVID-19 lockdown. Participants were approached once again in 2022 to repeat the procedure in order to capture their driving behavior after the COVID-19 lockdown. Such valuable and trustworthy data enable the assessment of changes in driving behavior throughout the three time periods. Results showed that drivers committed more violations during the COVID-19 lockdown, with young drivers in particular being most affected by the traffic restrictions, driving significantly faster and performing more aggressive steering behaviors during the COVID-19 lockdown than any other time. Furthermore, the locations where the most speeding offenses were committed are highlighted in order to provide lawmakers with guidance on how to improve traffic safety in those areas, in addition to various recommendations on how to manage traffic during future lockdowns.
    Matched MeSH terms: Accidents, Traffic
  13. Sirajudeen AO, Law TH, Wong SV, Ng CP
    Accid Anal Prev, 2022 Feb;165:106533.
    PMID: 34902624 DOI: 10.1016/j.aap.2021.106533
    The existing literature in road safety revealed that the relationship between motorcycle deaths and per-head income follows a Kuznets or reverse U-curve pattern, whereby motorcycle deaths incline at lower income levels but decline once the per-head income has exceeded a threshold level. The same reverse U-curve relationship was also observed between per-head income and other road injury-related variables, including road deaths, road injuries, as well as road deaths to road injuries ratio. Evidence showed that motorcycles and passenger cars are the dominant vehicle modes and contributed significantly to global road deaths. The main objective of this study is to examine the relationship between the motorcycle deaths to passenger car deaths (MDC) ratio and per-head Gross Domestic Product (GDP). Examining the relationship between the MDC ratio and GDP per capita can be effective in understanding the relative change between motorcycle and passenger car deaths at different economic development stages, as well as identifying appropriate preventive measures. We apply a panel linear regression analysis on a panel of 38 countries over the period 1965-2013. Result demonstrated that there is a reverse U-curve relationship between the MDC ratio and the logarithm of GDP per capita. This implies that, at lower levels of GDP per capita, motorcycle deaths were more prevalent than passenger car deaths, whereas as the level of GDP per capita rises, passenger car deaths became relatively prevalent than motorcycle deaths. Moreover, there is a reverse U-shaped relationship between motorcycle ownership to passenger car ownership ratio (MPC) and the MDC ratio, while a U-shaped relationship exists between relative growth in higher mobility roads as compared to higher accessibility roads (MPA) and the MDC ratio. Based on our results, policies and interventions to reduce motorcycle and passenger car deaths were suggested in the conclusion of the paper.
    Matched MeSH terms: Accidents, Traffic
  14. Prasetyo YT, Garcia MM, Dewi RS, Chuenyindee T, Kurata YB, Widia M
    Work, 2022;73(4):1307-1324.
    PMID: 36057804 DOI: 10.3233/WOR-210662
    BACKGROUND: The manufacturing industry is one of the catalysts for the Philippines. However, this sector is one of the most dangerous industries in the Philippines considering the frequency of occupational injuries.

    OBJECTIVE: To determine the primary and root causes of recorded accidents, demographics of the person involved, and solutions to prevent the recurrence of certain accidents.

    METHODS: This study analyzed 185 occupational injury cases in a food and beverage manufacturing company in the Philippines from January to December 2018. A comprehensive classification system was established to examine and code each case in terms of age, gender, working shift, employee type, tenure, department, category, activity during the accident, root cause of injury, injury classification, direct cause of injury, type of injury, part of body injured, agent of injury, and location of the accident. Cramer's V analysis and Phi coefficient analyses were employed on the subject cases to determine the significant factors and the corresponding extent of significance.

    RESULTS: The results showed that the majority of the occupational injuries were caused by stepping on, striking against, or stuck by objects (77 cases, 41.6%), caught in between (34 cases, 18.4%), fall (34 cases, 18.4%), and exposure or contact with extreme temperatures (24 cases, 13%). Interestingly, female workers who had accidents were more likely due to inadequate hazard information or lack of procedures whereas male workers were more likely due to failure to secure. The prevention measures such as passive safeguards and personal protective equipment, pictograms, and regular safety audits were derived from the results of these analyses.

    CONCLUSIONS: This study is the first comprehensive analysis of occupational injuries in the food and beverage industry in the Philippines. The findings can be applied to positively influence the effectiveness of prevention and rehabilitation programs mitigating workplace injuries and illnesses.

    Matched MeSH terms: Accidents, Occupational/prevention & control
  15. Alkinani MH, Almazroi AA, Jhanjhi NZ, Khan NA
    Sensors (Basel), 2021 Oct 18;21(20).
    PMID: 34696118 DOI: 10.3390/s21206905
    Internet of Things (IoT) and 5G are enabling intelligent transportation systems (ITSs). ITSs promise to improve road safety in smart cities. Therefore, ITSs are gaining earnest devotion in the industry as well as in academics. Due to the rapid increase in population, vehicle numbers are increasing, resulting in a large number of road accidents. The majority of the time, casualties are not appropriately discovered and reported to hospitals and relatives. This lack of rapid care and first aid might result in life loss in a matter of minutes. To address all of these challenges, an intelligent system is necessary. Although several information communication technologies (ICT)-based solutions for accident detection and rescue operations have been proposed, these solutions are not compatible with all vehicles and are also costly. Therefore, we proposed a reporting and accident detection system (RAD) for a smart city that is compatible with any vehicle and less expensive. Our strategy aims to improve the transportation system at a low cost. In this context, we developed an android application that collects data related to sound, gravitational force, pressure, speed, and location of the accident from the smartphone. The value of speed helps to improve the accident detection accuracy. The collected information is further processed for accident identification. Additionally, a navigation system is designed to inform the relatives, police station, and the nearest hospital. The hospital dispatches UAV (i.e., drone with first aid box) and ambulance to the accident spot. The actual dataset from the Road Safety Open Repository is used for results generation through simulation. The proposed scheme shows promising results in terms of accuracy and response time as compared to existing techniques.
    Matched MeSH terms: Accidents
  16. Oviedo-Trespalacios O, Çelik AK, Marti-Belda A, Włodarczyk A, Demant D, Nguyen-Phuoc DQ, et al.
    Accid Anal Prev, 2021 Sep;159:106212.
    PMID: 34098429 DOI: 10.1016/j.aap.2021.106212
    Alcohol is a global risk factor for road trauma. Although drink driving has received most of the scholarly attention, there is growing evidence of the risks of alcohol-impaired walking. Alcohol-impaired pedestrians are over-represented in fatal crashes compared to non-impaired pedestrians. Additionally, empirical evidence shows that alcohol intoxication impairs road-crossing judgements. Besides some limited early research, much is unknown about the global prevalence and determinants of alcohol-impaired walking. Understanding alcohol-impaired walking will support health promotion initiatives and injury prevention. The present investigation has three aims: (1) compare the prevalence of alcohol-impaired walking across countries; (2) identify international groups of pedestrians based on psychosocial factors (i.e., Theory of Planned Behaviour (TPB) and perceptions of risk); and (3) investigate how segments of pedestrians form their intention for alcohol-impaired walking using the extended TPB (i.e. subjective norm, attitudes, perceived control, and perceived risk). A cross-sectional design was applied. The target behaviour question was "have you been a pedestrian when your thinking or physical ability (balance/strength) is affected by alcohol?" to ensure comparability across countries. Cluster analysis based on the extended TPB was used to identify groups of countries. Finally, regressions were used to predict pedestrians' intentions per group. A total of 6,166 respondents (Age M(SD) = 29.4 (14.2); Males = 39.2%) completed the questionnaire, ranging from 12.6% from Russia to 2.2% from Finland. The proportion of participants who reported never engaging in alcohol-impaired walking in the last three months ranged from 30.1% (Spain) to 83.1% (Turkey). Four groups of countries were identified: group-1 (Czech Republic, Spain, and Australia), group-2 (Russia and Finland), group-3 (Japan), and group-4 (final ten countries including Colombia, China, and Romania). Pedestrian intentions to engage in alcohol- impaired walking are predicted by perceptions of risk and TPB-psychosocial factors in group-1 and group-4. Favourable TPB-beliefs and low perceived risk increased alcohol-impaired walking intentions. Conversely, subjective norms were not significant in group-2 and only perceived risk predicted intention in group-3. The willingness of pedestrians to walk when alcohol-impaired differs significantly across the countries in this study. Perceived risk was the only common predictor among the 16 countries.
    Matched MeSH terms: Accidents, Traffic
  17. Sirajudeen AO, Law TH, Wong SV, Jakarni FM, Ng CP
    J Safety Res, 2021 09;78:262-269.
    PMID: 34399922 DOI: 10.1016/j.jsr.2021.06.007
    INTRODUCTION: Past empirical studies indicated that there is a Kuznets or reverse U-shaped relationship between road deaths and per capita income, such that the number of road death increases at a low level of per capita reverse U-shaped relationship was observed between road injuries and per capita income. While these studies explored the impact of per capita income on road deaths and road injuries, no studies have examined the relationship between per capita income and road death to road injury ratio (DPI).

    METHOD: Using a fixed effects panel regression analysis from 67 countries spanning over a period of five decades (1960-2013), the present study sought to explore the impact of per capita gross domestic product (per capita GDP) on the DPI ratio and the underlying factors responsible for the relationship.

    RESULTS: Our result suggests that per capita GDP followed a reverse U-shaped relationship with DPI. Moreover, the relative improvements in higher mobility roads as compared to improvements in higher accessibility roads, motorcycle ownership to passenger car ownership ratio, percentage of population living in an urban area, infant mortality rate, and the percentage of population below 15 years of age and above 64 years of age contributed to this relationship. Practical Applications: This implies that, at lower level of economic growth where road deaths exceed road injuries, countries should implement low-cost measures to combat road deaths cases. Such measures include mandating wearing of quality helmets and daytime running headlights for motorcycles. On the other hand, at higher level of economic growth where road injuries surpass road deaths, countries are encouraged to devote more resources to improving medical technology and services to treat road injury victims, mandating seatbelt use, as well as enhancing and promoting public transportation service.

    Matched MeSH terms: Accidents, Traffic*
  18. Ahmed T, Moeinaddini M, Almoshaogeh M, Jamal A, Nawaz I, Alharbi F
    PMID: 34444563 DOI: 10.3390/ijerph18168813
    Crosswalks are critical locations in the urban transport network that need to be designed carefully as pedestrians are directly exposed to vehicular traffic. Although various methods are available to evaluate the level of service (LOS) at pedestrian crossings, pedestrian crossing facilities are frequently ignored in assessing crosswalk conditions. This study attempts to provide a comprehensive framework for evaluating crosswalks based on several essential indicators adopted from different guidelines. A new pedestrian crossing level of service (PCLOS) method is introduced in this research, with an aimto promote safe and sustainable operations at such locations. The new PCLOS employs an analytical point system to compare existing street crossing conditions to the guidelines' standards, taking into account the scores and coefficients of the indicators. The quantitative scores and coefficients of indicators are assigned based on field observations and respondent opinions. The method was tested to evaluate four pedestrian crosswalks in the city of Putrajaya, Malaysia. A total of 17 indicators were selected for the study after a comprehensive literature review. Survey results show that the provision of a zebra crossing was the most critical indicator at the pedestrian crossings, while drainage near crosswalks was regarded as the least important. Four indicators had a coefficient value above 4, indicating that these are very critical pedestrian crossing facilities and significantly impact the calculation of LOS for pedestrian crossings. Four crosswalks were evaluated using the proposed method in Putrajaya, Malaysia. The crosswalk at the Ministry of Domestic Trade Putrajaya got the "PCLOS A". In contrast, the midblock crossing in front of the Putrajaya Corporation was graded "PCLOS C". While the remaining two crosswalks were graded as "PCLOS B" crosswalks. Based on the assigned PCLOS grade, the proposed method could also assist in identifying current design and operation issues in existing pedestrian crossings and providing sound policy recommendations for improvements to ensure pedestrian safety.
    Matched MeSH terms: Accidents, Traffic/prevention & control
  19. Koay HV, Chuah JH, Chow CO, Chang YL, Rudrusamy B
    Sensors (Basel), 2021 Jul 15;21(14).
    PMID: 34300577 DOI: 10.3390/s21144837
    Distracted driving is the prime factor of motor vehicle accidents. Current studies on distraction detection focus on improving distraction detection performance through various techniques, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs). However, the research on detection of distracted drivers through pose estimation is scarce. This work introduces an ensemble of ResNets, which is named Optimally-weighted Image-Pose Approach (OWIPA), to classify the distraction through original and pose estimation images. The pose estimation images are generated from HRNet and ResNet. We use ResNet101 and ResNet50 to classify the original images and the pose estimation images, respectively. An optimum weight is determined through grid search method, and the predictions from both models are weighted through this parameter. The experimental results show that our proposed approach achieves 94.28% accuracy on AUC Distracted Driver Dataset.
    Matched MeSH terms: Accidents, Traffic
  20. Al-Mekhlafi AA, Isha ASN, Chileshe N, Abdulrab M, Saeed AAH, Kineber AF
    PMID: 34201674 DOI: 10.3390/ijerph18136752
    Driving fatigue is a serious issue for the transportation sector, decreasing the driver's performance and increasing accident risk. This study aims to investigate how fatigue mediates the relationship between the nature of work factors and driving performance. The approach included a review of the previous studies to select the dimensional items for the data collection instrument. A pilot test to identify potential modification to the questionnaire was conducted, then structural equation modelling (SEM) was performed on a stratified sample of 307 drivers, to test the suggested hypotheses. Based on the results, five hypotheses have indirect relationships, four of which have a significant effect. Besides, the results show that driving fatigue partially mediates the relationship between the work schedule and driving performance and fully mediates in the relationship between work activities and driving performance. The nature of work and human factors is the most common reason related to road accidents. Therefore, the emphasis on driving performance and fatigue factors would thereby lead to preventing fatal crashes and life loss.
    Matched MeSH terms: Accidents, Traffic*
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