High Accidents Research Articles

Unveiling and modelling the impact of safety drivers on the overall success of construction projects in developing countries

The construction industry faces significant risks, leading to high accident rates and injuries, underscoring the urgent need for effective safety implementation. In developing countries, safety implementation is often inadequate, leading to increased incidents and project failures. This study investigates how implementing safety drivers (SDs) can enhance overall project success (OPS) in construction through a five-step process. Initially, systematic searches and scientometric analyses are conducted to review existing literature and establish a foundational understanding. A questionnaire is then distributed to experts in the Egyptian construction sector. The third step involves exploratory factor analysis (EFA) to categorize relevant variables. Following this, partial least squares-structural equation modeling (PLS-SEM) tests the proposed conceptual model and analyzes relationships among the variables. The final step employs Fuzzy Synthetic Evaluation (FSE) to rank SDs categories. Findings from PLS-SEM indicate that SDs have a medium to high impact on OPS, accounting for 58.8% of the total influence. The FSE results reveal that the planning and implementation group ranks as the most significant at 3.48 on evaluation matrix. This research contributes to the limited literature on safety in developing countries like Egypt by proposing a novel model that links SDs to OPS, offering practical insights for the construction industry.

Land Use, Travel Patterns and Gender in Barcelona: A Sequence Analysis Approach

Transport systems are essential for the path toward sustainable urbanisation and the transition to more sustainable living. Recently, European cities have undergone substantial changes, and suburbanisation is posing new challenges. Suburban areas are often more affordable in terms of housing, but these neighbourhoods tend to be car-oriented. This leads to higher commuter costs, immobility, transport and time poverty, pollution, higher accident rates and a lack of social interactions. To offer sustainable mobility options to citizens, we must comprehensively understand, together with their individual characteristics, their specific mobility practices and the built environment where they live. This study is centred on the Barcelona Metropolitan Region, which has a public transport network that covers its entire area. The aim of this study is to examine the relationships between travel behaviour, transport mode use, individual characteristics and built environment characteristics in the place of residence using detailed information sources. Herein, we used data from the 2018 to 2021 annual travel survey conducted in the Barcelona region, together with land use and sociodemographic information. Our findings suggest that transport policies have encouraged sustainable mobility practices, particularly in the centre of Barcelona. Despite the positive results, considerable disparities exist between the inner and outer city, with a notable decline in sustainable mobility practices in the latter, due to the uneven distribution of basic services and uneven provision of public transport, together with lower density areas. Our results demonstrate that this uneven distribution reduces the available sequence profiles of inhabitants. In conclusion, the promotion of sustainable mobility policies necessitates further advances in transport, city and land-use planning that consider equity, gender, the socioeconomic profiles of citizens and mixed urban planning.

Examining Geographic Disparities in Fatal Automobile Accidents Across Kuwait Using GIS

Traffic accidents are considered a major public health issue worldwide, causing more than a million deaths annually and roughly five times that many injuries. Studying such accidents from a geographic perspective may help policy makers form better mitigation strategies for reducing accident rates. A Geographic Information System (GIS) is a powerful tool for performing this task due to its ability to visualize the spatial distribution of traffic accident data. Our research focused upon analyzing the geographic disparities in fatal car accidents. We chose to examine data between October 1, 2022 and March 31, 2023 for the state of Kuwait, which has a relatively high fatal accident rate per capita. We used various GIS-based tools in this research, such as average nearest neighborhood, point density, and optimized hot spot analysis. The results showed a significant disparity in accidents between urban and rural areas. Furthermore, an accident rate comparison between winter and summer seasons also revealed seasonal geographic disparities.

Transport Safety and Quality of Life in Developing Cities: An Analytical Study of Amman's Urban Transport System

Transport safety is crucial for social sustainability, especially in rapidly urbanizing developing cities. This study evaluates the safety of Amman, Jordan's urban transport system, and its impact on residents' quality of life. Using the Analytic Hierarchy Process (AHP), we identified and prioritized five key safety indicators: accident rates, fatalities and injuries, pedestrian safety, public perceptions of safety, and the presence of safety infrastructure. The findings revealed high accident rates, inadequate pedestrian infrastructure, and poor public perceptions of safety. These issues lead to high-stress levels, limited mobility, and increased reliance on private vehicles, exacerbating traffic congestion and environmental pollution. Recommendations include stricter road safety measures, upgraded pedestrian infrastructure, public awareness campaigns, and enhanced public transport services. This research highlights the need for coordinated efforts among government agencies, private sector partners, and the community to improve transport safety and quality of life in developing cities.

Sensitivity analysis of human error in the steel industry: exploring the effects of psychosocial and mental health risk factors and burnout using Bayesian networks.

Human error and the high rates of fatalities and other occupational accidents in the steel industry are of significant global relevance. The aim of this study was to investigate the effect of psychosocial, mental health, and burnout risk factors on human error probabilities in an industrial environment using Bayesian networks. This cross-sectional study was conducted in 2023. The participants were 252 employees of a steel company. Error probabilities related to the tasks of participants were estimated using the Human Error Assessment and Reduction Technique (HEART). Other data was collected using a survey that consisted of demographic information, the Maslach Burnout Inventory, Depression Anxiety Stress Scales, and a short version of the Copenhagen Psychosocial Questionnaire. A theoretical model was drawn in GeNIe academic software (version 2.3). The results showed that all the studied variables were able to significantly affect the distribution of human error probabilities. Considering a distribution of 100% for the high state of these variables, the results showed that the greatest increases in error probability were related to two burnout dimensions: emotional exhaustion (29%) and depersonalization (28%). All the variables, with a probability of 100%, increased the probability of high human error probabilities by 46%. The most important variables in terms of their effect on human error probabilities were burnout dimensions, and these variables also had a mediation effect on the psychosocial and mental health variables. Therefore, preventive measures to control human error should first focus on managing the risks of burnout in workers. This, in turn, can also reduce the effect of psychosocial risk factors and mental health problems on human error in the workplace.

How do Road Users in Mixed Traffic Perceive Risk Towards Each Other? A Comparative Study from a Developing Country

Many developing countries have high traffic accident rates due to the mixed traffic environment in which bicycles and motor vehicles travel in the same lanes. This paper examines the perceived risk among road users in mixed traffic. A questionnaire survey was used to obtain demographic information and self-reported risk perception among cyclists, motorcyclists, and drivers. Statistical analyses, including the T-test and ANOVA, were used to examine the relevant differences in risk assessment among the groups. The results demonstrate that the groups differ significantly in sociodemographic characteristics, driving experience, and travel characteristics. For self-reported perceived risk, the respondents’ perceptions of road surface conditions, the potential of daydreaming while operating a vehicle, and distraction from passengers or riding companions exhibited significant differences between the groups. The research findings could be beneficial as a guide for policymakers in planning road safety awareness to reduce risk in mixed traffic environments.

ROAD ACCIDENTS IN URBAN AREAS IN ALGERIA. THE CASE OF THE CITIES OF CONSTANTINE AND ALI MENDJELI

Road safety is a major concern for countries around the world, as it is directly related to the sense of well-being. Road accidents have serious consequences for the victims and impose considerable economic burdens on the state, since their handling is delicate. The African continent, including Algeria, has a high accident rate. In this study, we chose the state of Constantine because of its national importance. Between 2020 and 2022, it recorded a significant number of accidents, particularly in the new town of Ali Mendjeli and the town of Constantine. These areas, with their dense populations and their high attractiveness due to the diversity of facilities they have, are experiencing very large flows and consequently considerable traffic. A territorial analysis of these accidents allows to highlight the dangerous areas, understand the causes and determine the types of victims. From which the identification of the sites most exposed to accidents has allowed us to identify many factors of this risk.

An estimation of the tower crane safety risk factors in the Vietnamese construction industry

The construction industry is among the riskiest sectors worldwide due to its involvement in complex and hazardous activities, primarily because of the use of tower cranes. Tower cranes are considered the most hazardous construction machinery, contributing to a high rate of serious accidents, including fatalities and disabling injuries, not only in Vietnam but also globally. In this paper, we identify and evaluate 42 tower crane safety risk factors specific to the Vietnamese construction industry based on their probability of occurrence, severity of impact, and associated risk levels. The paper reveals that the most probable risk factor is “Unfavorable winds (including intensity, direction, etc.)” with a mean value of 3.641. The factor with the highest severity is “Wire rope is broken” with a mean value of 4.179. Furthermore, the study shows that twenty-five out of forty-two (59.52%) factors present a moderate risk level, with a Relative Significant Index Score (RSIS) ranging from 8.019 to 13.047. Among these, the factor “Bad maintenance management of the tower crane and auxiliary aids” poses the highest risk level, with an RSIS value of 13.047. This paper aims to enhance the understanding oftower crane safety among subcontractors, government safety regulators, main contractors, maintenance personnel, and workers in the Vietnamese construction industry. Additionally, the methodology presented in this paper can be adapted for assessing safety risk factors in other industries within Vietnam.

Project Proposal for the Reconstruction of the Intersection at Nauky Avenue and Kultury Street in Kharkiv

Abstract. Urban infrastructure plays a crucial role inthe development and functioning of modern cities. As cities grow, the pressure on transportation networks increases, leading to congestion, higher accident rates, and environmental degradation due to vehicle emissions. The intersection of Nauky Avenue and Kultury Street in Kharkiv is a key transportation node that requires reconstruction to address these challenges. The reconstruction project aims to improve traffic flow, enhance road safety, and reduce environmental impacts in line with modern standards of urban mobility and sustainability. By adopting innovative transport solutions and infrastructure improvements, the project seeks to create a safer and more efficient urban environment for all road users. Problem. The intersection of Nauky Avenue and Kultury Street in Kharkiv is a key transportation hub that handles significant traffic and pedestrian flows. The problem lies in the overloading of the transport network, high accident rates, and the need to improve the environmental situation due to significant emissions of pollutants. Goal. The aim of the study is to develop a design proposal for the reconstruction of this intersection, considering the improvement of road safety, traffic efficiency, and the reduction of environmental impact. Methodology. To achieve the goal, an analysis of current traffic flows, accident assessment, and research on modern traffic management methods and environmental standards was conducted. Approaches for implementing intelligent transport systems and improving conditions for pedestrians and cyclists were explored. Originality. It is proposed to implement adaptive traffic lights to optimize traffic, create separate lanes for cyclists, upgrade pedestrian crossings, and equip public transport stops. This will reduce congestion, improve road safety, and promote the development of sustainable urban mobility. The scientific novelty lies in the implementation of comprehensive solutions to integrate all road users, including cyclists, pedestrians, and public transport, using the latest technologies and environmental standards. Practical value. The results of the study have significant practical value for improving the transportation infrastructure of Kharkiv, enhancing safety, and improving the environmental situation

Resilient roads in challenging terrain: a case study of Siddhartha highway in Nepal

Nepal is a country known for its diverse and challenging topography, and it relies heavily on a robust road infrastructure network to connect its remote regions and urban centers. This study addresses the critical need for enhanced road safety and infrastructure resilience on the Siddhababa road section of the Siddhartha Highway, Nepal, notorious for its high accident rates and susceptibility to landslides. Given the road's strategic importance in connecting remote regions and its challenging topographical conditions, our research aimed to identify the most suitable pavement type to mitigate these issues. Through a detailed examination incorporating eight different soil tests, alongside evaluations of traffic loads, weather conditions, and existing pavement performance, we adopted a comparative analysis methodology to assess the viability of flexible versus rigid pavements within this unique context. Results revealed that the soil composition and environmental conditions of the Siddhababa section significantly influence pavement performance, with specific gravity, moisture content, and California Bearing Ratio (CBR) tests indicating a nuanced suitability for both pavement types under varying circumstances. Our analysis concluded that, despite the economic and staged reinforcement benefits of flexible pavements, the durability, safety, and maintenance considerations favor the adoption of rigid pavement for the Siddhababa road section. However, acknowledging the economic constraints, a hybrid approach is recommended, emphasizing rigid pavements for the most vulnerable sections and flexible pavements elsewhere. This study contributes to the pavement engineering field by providing a model for pavement type selection in mountainous regions, aiming to enhance road safety and durability amidst challenging environmental conditions.

Social sustainability in urban mobility: An approach for policies and urban planning from the Global South

Historically, transportation projects and urban mobility policies overlook the dimension of social sustainability, mainly focusing on economic and environmental criteria. This neglect, seen enhanced in the Global South, leads to long travel times, growing congestion, reliance on motorcycles, high traffic accident rates, and limited access to public transport, jobs, and urban facilities, especially for the more vulnerable population. In light of these issues, this paper proposes the Social Sustainability of Urban Mobility (SSUM) approach as an analytical framework that assesses the state of social sustainability in urban mobility by applying a Systematic Literature Review where three gaps were found. First, by tailoring the SSUM approach to the context of the Global South, it is possible to address the population-focused gap in urban mobility. Second, in the literature review, a theoretical gap defining social sustainability in urban mobility and its three primary categories has yet to reach a consensus among practitioners and academics. Finally, more empirical research should be conducted to discuss methodological aspects of operationalizing the SSUM approach through the three main categories: accessibility, the sustainability of the community, and institutionality. The SSUM approach promotes implementing a sustainable urban agenda that builds inclusive, equitable, and just cities in urban mobility.

Evaluation of job satisfaction and related factors in wood extraction workers in Gilan province

Introduction: occupational accidents are caused by ignorance of occupational health and safety recommendations, due to the high rate of accidents in the industry of cutting and extracting wood from the forest, this study is necessary to evaluate job satisfaction. Materials and Methods: In this research, job satisfaction was used as a dependent variable and independent variables included age, educational and employment status, type of work, and duration of employment. To determine the conditions of excessive fatigue among forest workers, the index of symptoms of excessive fatigue was used. The number of 100 workers was investigated by a questionnaire, the comparison of independent variables affecting the satisfaction or dissatisfaction of workers with work using discriminant analysis and the Wilks Lambda coefficient, and the comparison of the average opinions of people from different work groups regarding the work situation using Friedman's test was performed. Results: The four variables of duration of employment, age status of workers, employment status, and type of work are suitable for separating two groups satisfied with work and dissatisfied with work. The assessment of complaint rate showed that questions I take care of my family, I am very worried about my health and I am dissatisfied with many things with the highest rates of 84.66%, 70.66%, and 61.33% respectively. They took the complaint to themselves. The results showed that the highest amount of fatigue accumulation index is related to two groups chronic fatigue and general fatigue. The results of the present study show that 47% of forest workers are illiterate in their educational status, which requires a training course for workers to work with cutting tools and machines. The results showed that 41 percent of the people studied liked their jobs. Conclusion: Personal protective equipment is considered a work tool without which it is impossible to do the desired job. Training classes should be held periodically by the safety department for workers and supervisors when needed.

Using Digital Twin Technology to Conduct Dynamic Simulation of Industry-Education Integration

The high accident rate in the construction industry has a major impact on how well projects turn out. Despite substantial investments in safety planning and supervision, there has been a marked increase in the construction industry's accident rate compared to other sectors. Serious games based on VR have recently been used in the study, suggesting that workers are now more safety conscious. However, these situations need many resources to create and are not always realistic. Hence this paper, Digital Twin-based Construction Safety Training Framework (DT-CSTF) with Artificial Intelligence (AI), has been proposed to monitor employees' emotional, mental, and physical well-being in real-time. The report sheds light on the significance of DT technology and its function in Industry 5.0. Using the Unity game engine, the proposed DT-CSTF creates a virtual reality-based training environment (VRTE) prototype that incorporates BIM, construction timetables, and safety requirements. Following this, the suggested structure enables gathering user data about risks and providing tailored feedback. Automated virtual reality game training scenarios are created using data given by digital twins on project intent, project status, safety requirements, and history. Both improved digital twins and periodic construction safety monitoring are anticipated to reap the benefits of dynamic virtual reality training. The proposed management system offers effectiveness of VR-based security training, cost-benefit analysis, monitoring,employee behaviour, safety education values are obtained by the ratio of 96,90 %, 98,33 %, 99,25 %, 95,91 %, 98,66 % respectively

Quality of Life and Spiritual Health in Motorcycle Accident Survivors: An Analysis Using the SF-36 Questionnaire and Spiritual Scale

Abstract Introduction Motorcycle traffic accidents rate remained high in Taiwan letting post-trauma care an imperative issue. This study investigates the spiritual, psychological, and physical impacts of motorcycle traffic accidents in Taiwan, focusing on the role of the Injury Severity Score (ISS) in influencing quality of life (QOL) and spiritual well-being outcomes, aiming to enhance holistic recovery strategies for trauma survivors. Methods A prospective study was conducted from April 2022 to March 2024 in a level I trauma center. Patients aged 20 and above with trauma from motorcycle accidents were enrolled and divided into major (ISS ≥ 16) and non-major (ISS < 16) trauma groups. QOL and spiritual health were assessed using 36-item short-form general health survey measures (SF-36) and spiritual scale before discharge and six months later. Results Of 98 patients, we observed significant post-discharge declines in both physical and mental QOL scores, regardless of ISS. However, spiritual scores improved significantly after discharge, with notable enhancements in interpersonal relationships and adversity transcendence observed in patients with ISS < 16, but not in those with ISS ≥ 16. SF-36 analysis revealed that non-religious groups experienced significant declines in mental health scores post-discharge, unlike religious groups, which remained stable. Additionally, religious individuals showed significant post-discharge improvements in interpersonal relationships and adversity transcendence, while non-religious showed no improvement. This suggests a beneficial link between religious adherence and enhanced spiritual well-being. Conclusion Motorcycle accidents reduce QOL and heighten spiritual needs for survivors, regardless of accident severity categorized by ISS score. Integrating spirituality into rehabilitation processes can positively impact overall well-being. Holistic care, addressing physical, psychological, social, and spiritual needs, is vital for optimizing long-term recovery and improving prognosis in trauma survivors, especially in regions with high rates of traffic accidents like Taiwan.

Life expectancy from Prehistoric times to the 21st Century

The purpose of this article is to investigate the factors contributing to significant improvements in longevity from the pre-historic times to the 21st century. Examining historical data, we witness an improvement in life expectancy from 20 years in prehistoric times to around 85 years in 2023. Several socio-economic and medical factors have contributed to this improvement, including living conditions, sanitation, housing, nutrition, education, disease prevention, medical advancements, environment, and economic growth. Analysing historical trends we can distinguish seven periods. In prehistoric times, primitive sanitary and living conditions, limited access to basic resources, high rates of accidents and infectious diseases resulted in short human longevity, ranging between 20 to 30 years. During ancient times, several historical sources from Egypt, Greece and Rome estimate life expectancy also at 20 to 35 years. Warfare, infectious diseases, malnutrition, and high rates of infant mortality are recorded as the main factors for this short life span. In the Middle Ages (500–1500 AD), the great killers like the Plagues (Black Death) had a significant impact on the reduction of population. Life expectancy fluctuated around 30 to 40 years. The Early Modern Period (1500–1800 AD) is marked by the advent of the agricultural revolution, enhancements in diet, and better sanitary conditions. Despite these advancements, life expectancy remained relatively unchanged, hovering between 30 and 40 years. With the Industrial Revolution (18th–19th centuries), life expectancy increased to 40-50 years. Advancements in the Twentieth Century, including medical care, sanitation, living conditions, nutrition, reforms in health systems for improved access to health services, and technological innovations, significantly increased life expectancy. These developments, predominantly in developed regions, led to life expectancy surpassing 70 years. The 21st Century is characterised by ongoing improvements in life expectancy, which has reached 85 years. However, significant health disparities persist between nations, regions, and socioeconomic groups. In 2022, the disparity in life expectancy among nations was as large as 33.5 years, with figures ranging from 52.5 years in Chad, Nigeria, and Central African Republic to 86 years in Monaco, Hong Kong, and Japan.

Sistem Informasi Geografis Untuk Visualisasi Daerah Rawan Kecelakaan Lalu Lintas Jalan Arteri Primer Kota Surabaya

Accidents are an event that often occurs on the highway, especially in big cities, one of which is Surabaya City. Accidents are one of the main problems for the safety of road users. Almost all activities carried out require transportation facilities, if the transportation facilities do not run well due to traffic accidents, the activities carried out will not run well. Therefore, a solution is needed to reduce accidents by building an accident-prone area information system. In determining the criteria for accident-prone areas, it is taken from the Republic of Indonesia Police, the Department of Transportation, and Public Works, based on the number of accidents, the number of fatalities of victims, and road conditions. This research is an effort to visualize the occurrence of accidents using spatial data of Surabaya City road network maps and non-spatial data, namely accident data and road data obtained from the police and the Bina Marga Service. In the final result of this research, an application is obtained that can provide visualization of accident-prone areas such as Ahmad Yani road which is a road with a high accident rate with the number of incidents and has the highest victim fatality weighting results among 9 other primary arterial roads. Keywords:Accident Prone Areas, Geographic Information System, Surabaya City, Traffic, Transportation

Study and Action Plan on the Key Factors Influencing Unsafe Behaviors by Construction Workers

As front-line workers on construction projects, construction workers have always had the highest accident rate among workers in various industries, a statistic that significantly impacts society. In this study, the 2–4 Model was used to identify 14 influencing factors affecting workers’ unsafe behaviors, and a safety management index for construction workers was established. The fuzzy decision-making laboratory analysis method (Fuzzy-DEMATEL) and the interpretative structural model (ISM) were used to analyze the hierarchical structure, internal relations, and key influencing factors behind the unsafe behaviors in question, and the 14 factors affecting them were divided into five dimensions, including the technological environment, insufficient safety knowledge, and the corporate safety culture. The three most direct influencing factors (comprising eight key nodes in the constructed hierarchy) were found to be poor safety awareness, the violation of operating procedures, and skill errors. Therefore, the main paths toward reducing the level of unsafe behavior among construction workers include making changes in process equipment, addressing skill-related errors, ensuring adherence to operating procedures, improving safety awareness, and enhancing safety knowledge. In this study, we identify and classify the factors influencing unsafe behaviors by construction workers and propose scientific interventions with which to prevent the continued occurrence of safety hazards among them.

Why frequent traffic accidents at highway tunnel exit? – An experimental analysis of the slack effect

This study analyzes the causes of frequent traffic accidents at the exit areas of highway tunnels. Vehicle experiments were conducted to collect data on the light environment, vehicle speed, and driver eye movement. The distribution patterns of the illumination, vehicle speed, and gaze location occupancy were analyzed, and highway tunnels of different lengths were compared. The tunnel exit area is divided into the transition, exit, and departure zones. It was observed that there was an obvious white-hole effect at the exit zone, with drastic changes in the light environment. The presence of abnormal acceleration behavior in the transition zone and decreased attention in the departure zone demonstrate the existence of psychological and physiological slack in drivers. Additionally, the tunnel length positively correlates to the slack effect, which is stronger in extra-long tunnels than in the short and medium tunnels. Multiple control scenarios were established and driving simulation experiments were conducted to further analyze the impact of the slack effect on the traffic safety. The experimental results demonstrated that the slack effect of the extra-long tunnels exhibited an evident lag which was still present after leaving the tunnel exit. The average vehicle speed and trajectory offset were larger and more discrete in the post-tunnel zone than on an ordinary open road. The speed of the curve in the post-tunnel zone is 5.1 % higher than that of the curve in the ordinary road, and the maximum trajectory offset is 54.3 % higher. Thus, this study reveals the slack effect at tunnel exits and explains the abnormal phenomenon of relatively good traffic environments but high traffic accident rates in the transition and departure zones of tunnel exits. These results present considerable practical significance for the safe operation of highway tunnels, particularly extra-long tunnels.

Occupational risk prevention in the European Union construction sector: 30 Years since the publication of the Directive

The construction sector is a key industry in the economy of the European Union (EU), with a significant impact on the Gross Domestic Product and employs approximately 30 % of the industrial workforce. Despite this positive economic impact, the construction sector suffers from high accident rates which result in significant economic costs. In 1992, the EU introduced the Directive 92/57/EEC, which aimed to establish minimum Safety and Health (S&H) requirements for construction sites. The Directive lists a number of premises that justify the need to incorporate risk prevention from the design stage of a project and to strengthen coordination throughout the project’s life. For these reasons, the Directive created the role of the Coordinators for S&H matters during the project preparation stage and execution stage, as well as the definition of a S&H Plan. The current paper analyses the state of the accident rate in the construction sector 30 years after publication of the Directive, the changes that have been made to the original text, as well as the identification of the difficulties that have been detected, both in terms of lack of definition and problems in implementation. It is possible to conclude that the management of prevention in the early stages of a project remains a persistent challenge for the industry. Additionally, it is essential to address the sector's adaptation to the new working methods required for its transition to Construction 4.0. This discussion can serve as a valuable tool for future decision-making aimed at improving the regulatory framework.

RETRACTED: Critical safety climate dimensions for improved safety behavior: perspectives of construction workers

Although extensive research has been conducted to explain the high accident rates in the Indian construction industry, studies focusing on the contributions of the prevailing safety climate as an enabler of such incidences remain sparse. Safety climate plays a crucial role in shaping workers’ safety behaviors. Therefore, eliciting the perspectives of construction workers concerning safety climate dimensions that are critical for engendering improved safety behavior will provide valuable insights into the dimensions required to sustain the desired safety performance levels on construction sites. This study adopted a sequential mixed-methods research design. Purposively selected respondents and interviewees were surveyed and interviewed at various intervals. The study established that safety climate dimensions, such as effective leadership, effective communication, consultation, training, resources, incentives, and recognition, are critical in improving safety behavior among construction workers. The results of this study have significant implications for practice and knowledge, as they provide an approach for assessing the impact of different safety climate dimensions on the safety behavior of construction workers in India. Understanding these dimensions will lead to a framework for managing these challenges and improving construction safety performance. The study reported in this paper remains one of the few studies seeking to explore the impact of safety-climate dimensions on worker safety behavior in the construction industry.