Safety Resilience Research Articles

Predicting the Effectiveness of Resilient Safety in the Building Construction Sector of Rwanda Using the ANN Model

Most construction projects encounter safety issues that may affect project effectiveness and the lives of workers. Although various studies have investigated these factors, in some countries, such as Rwanda, there is still little empirical evidence regarding the important aspects that contribute to safety effectiveness. Therefore, this study was carried out to predict the resilient safety effectiveness in the Rwandan building construction sector via the artificial neural network (ANN) model. Through a literature review, resilient safety variables that may be relevant in the Rwandan construction sector were identified. Data were collected through questionnaires. Moreover, the levels of importance of resilient-safety-effectiveness-related factors were pinpointed and assessed using the analytical hierarchy process (AHP). Consecutively, an ANN model that could predict the effectiveness of resilient safety was developed. This study contributes to the awareness of key factors that may affect the effectiveness of resilient safety, and it helps to forecast the effectiveness of resilient safety not only in Rwanda, but also in other low- and middle-income countries with different conditions by stressing the importance of reducing safety-related risks in building construction projects.

Fostering resilient safety culture to boost safety performance of young construction workers: Insights from empirical and simulation studies

Fostering resilient safety culture to boost safety performance of young construction workers: Insights from empirical and simulation studies

Assessing dimensions of resilient safety culture in construction firms in Abuja

Assessing dimensions of resilient safety culture in construction firms in Abuja

Enhancing Organizational Safety with ARIF Framework: A New Paradigm for Adaptive Resilience

Traditional safety systems primarily focus on robustness and resilience, aiming to create environments that resist disruptions or recover swiftly from them. However, the concept of antifragility, introduced by Nassim Nicholas Taleb, offers a transformative approach to safety management. Antifragility extends beyond resilience by enabling systems not only to withstand stress but to thrive and improve when faced with adversity. This paper explores the integration of antifragility into safety culture and systems, proposing strategies to enhance safety performance, reduce costs, and more effectively manage risks. Through the analysis of real-world examples and empirical test results, the paper demonstrates the practical application of antifragility, illustrating how adopting this approach can lead to more adaptive and resilient safety systems. This work highlights the potential for antifragility to shift the paradigm in safety management, moving from a focus on mere survival to a strategy of continuous improvement and growth under stress.

Relationship network of safety management elements in the construction industry under the perspective of resilience

PurposeConstruction safety resilience is gradually gaining attention in the field of engineering construction as a new management concept and way to improve safety performance. However, how to cope with the dilemma of the unclear relationship of construction safety resilience elements at the practice level and promote the harmonization of construction safety goals and resilience enhancement paths has become an urgent challenge for safe construction.Design/methodology/approachThis study analyzes the components of construction safety resilience elements. A relationship network model of construction safety resilience elements is developed by using the social network analysis method. The location and influence of each element in the network and the interrelationships among the elements are explored in depth.FindingsThe findings reveal a robust interconnection among the elements of safety resilience in the construction industry. Key components such as safety behavior, risk prevention and control mechanisms, disaster prevention and mitigation technologies as well as information technology, are positioned at the core of the network. Notably, safety behavior exerts the most significant influence over the other elements, serving as the linchpin of safety management in the construction industry. Moreover, the interplay among safety resilience elements in the construction sector can alter the structure of the relationship network.Originality/valueThis study adopts the social network approach to solve the problem that it is difficult to quantitatively analyze the elements of construction safety resilience and their interrelationships and to clarify the interactions among the core elements, which can help to further assist the construction project manager to continuously optimize safety resilience and improve construction safety.

CT imaging‐enhanced numerical simulation of microscopic structure and resilient safety of asphalt concrete

AbstractAsphalt concrete is a foundational material in water conservancy projects, serving a critical function in the construction of impermeable structures such as dams. The seismic response characteristics and resilient safety of concrete dams are heavily influenced by the arrangement and evolution of the microscopic structure of the dam material. In this study, a high‐precision computed tomography (CT) scanning technique, in conjunction with advanced numerical simulations, was employed to analyze the internal damage and crack extension mechanism of asphalt concrete. Microstructural images of the asphalt concrete specimen were accurately captured by CT scanning, followed by the construction of corresponding numerical models. Presented simulation results show that the displacement deformation of asphalt concrete reaches its maximum value in the top region of the model and subsequently decreases with depth. Material damage was first observed at the interface between aggregate and asphalt matrix, where microcracks emerge and extend to the entire asphalt matrix, resulting in a gradual deterioration of the model performance. The simulation results indicate that the overall strength of asphalt concrete is primarily influenced by the strength characteristics of its aggregates. The stress–strain curves obtained from the numerical simulations exhibit a hyperbolic relationship, which is in high agreement with the physical test results. This study not only enhances our comprehension of the mechanical behavior of concrete but also contributes to the analysis of seismic response and risk assessment in dam engineering through dynamic experimental testing and numerical simulation.

The Formation Mechanism of Construction Safety Resilience in Railway Infrastructure Projects

The Formation Mechanism of Construction Safety Resilience in Railway Infrastructure Projects

Development of a resilience safety culture model for the hazardous materials processing industry

Many previous cases have demonstrated that hazardous materials processing industry (HMPI) accidents always result in huge losses and HMPI companies which suffer accidents are difficult to quickly restore. This has demanded an effective way to solve the two problems. Resilience safety culture (RSC) combines conventional safety culture and resilience engineering. It aims at giving an organization the abilities of continually operating or timely recovering during or after a major unexpected event. RSC fits the safety demands of the HMPI well. The present study develops a RSC model for the HMPI. Firstly, through literature review, 12 model elements with 16 hypothesized relationships are developed. These hypothesis are then tested by 618 samples with structural equation modelling. Finally, an HMPI RSC model with 12 elements and 12 relationships is established. Model validity is verified by a comparison study on the proposed model and two existing models with the fuzzy analytic hierarchy process.

Exploring the Implementation of Safety Resilience Assessment in Industries: A Systematic Literature Review

Safety Resilience discusses how a work process can run properly not only aims at preventing adverse events, but also increasing work productivity and effectiveness by increasing resilience. The concept of resilience has been widely suggested as safety management due to its ability to support organizations to continue operating even when facing unexpected demands or scale disruptions by improving their day-to-day performance. This study used a systematic literature review to explore the implementation of safety resilience in various industries. The results showed that 50% of articles used the Resilience Assessment Grid instrument to measure safety resilience in the workplace. In brief, increased safety resilience positively improves work performance and organizational safety.

Safety resilience evaluation of hydrogen refueling stations based on improved TOPSIS approach

The traditional use of TOPSIS evaluation for assessing the resilience of hydrogen refueling stations results in overly one-sided outcomes and fails to identify the indicators that have a significant impact on the resilience of the stations. Therefore, this paper proposes an improved method for evaluating the safety resilience of hydrogen refueling stations based on CRITIC-DEMATEL and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The CRITIC-DEMATEL combination weighting method is employed to determine weights, thus improving the TOPSIS method. This method is then applied to assess the resilience level of hydrogen refueling stations. Then, introducing a Conditional Logistic Regression model identifies indicators with significant impact on resilience. The improved TOPSIS method enhances the reliability and accuracy of evaluation results. The Conditional Logistic Regression model provides a more accurate delineation of the impact size of indicators on the safety resilience of hydrogen refueling stations compared to traditional methods.

The Impact of Digital Development on Port Security Resilience—An Empirical Study from Chinese Provinces

As the world transitions into the post-pandemic era, ports in various countries are experiencing increased activity, leading to significant challenges in ensuring traffic safety within port jurisdictions. It is essential to explore methods to improve port security resilience to maintain regular economic and trade exchanges. This article examines the influence of digital development on port security resilience. Firstly, the provincial digital development level score is objectively evaluated from the perspective of digital infrastructure, digital application, and digital industry development. Secondly, the port safety resilience score is assessed considering water traffic safety, rescue and recovery capabilities, and operational efficiency. Lastly, the focus is on 16 provinces in China’s coastal and Yangtze River Economic Belt, establishing provincial panel data from 2010 to 2019, and empirically analyzing the direct impact of digital development on the resilience of port security. The results indicate that digital development enhances the resilience of port security, with significant heterogeneity and long-term effects observed.

Towards Resilient Cities: Optimizing Shelter Site Selection and Disaster Prevention Life Circle Construction Using GIS and Supply-Demand Considerations

City health examinations are integral to China’s urban planning, construction, and management. They effectively identify potential risks and vulnerabilities in urban development, ensuring safety resilience—a critical component. This resilience enhances the city’s ability to withstand internal and external shocks, promoting the safety of urban residents and fostering sustainable city development. Drawing on the Japanese disaster prevention strategy, the disaster prevention life circle emerges as a rescue and protection system during urban disasters, fortifying urban safety resilience. However, smaller and mid-sized cities, constrained by limited resources, significantly need to catch up in disaster prevention planning. Consequently, bolstering safety resilience in these cities becomes a pressing concern. This study focuses on Lindian County in Heilongjiang Province as the urban area under consideration for resilient city objectives. Leveraging the ArcGIS network analysis tool, we optimize the placement of emergency shelters, aligning with urban disaster assessments and the equilibrium of disaster prevention facility supply and demand. Accessibility analysis of emergency shelters was conducted using the Gaussian two-step floating catchment area method. Ultimately, we integrate the range of demand points assigned to each shelter, along with the effective land area reflecting the supply of shelters, as weights into a weighted Voronoi diagram. This diagram is combined with a reference to the entire region to delineate the disaster prevention life circle. Findings reveal that, under the premise of minimizing government construction costs while maximizing coverage and evacuation utilization rates, the optimal resident emergency congregate shelters in the study area are 8, with 98 emergency evacuation and embarkation shelters. Striking a balance between disaster prevention facility supply and demand and regional accessibility, the urban area of Lindian County is segmented into 3 resident disaster prevention life circles and 24 emergency disaster prevention life circles. The objective of this study is to optimize shelter siting and establish disaster prevention life circles in diverse urban areas. This endeavor aims to bolster urban resilience and foster sustainable urban development.

Data-Driven Dynamic Bayesian Network Model for Safety Resilience Evaluation of Prefabricated Building Construction

Due to factors such as the availability of assembly equipment, technology, and site management level, prefabricated building construction safety accidents often occur. To ensure the safety of prefabricated buildings and effectively reduce the accident rate, the concept of resilience is introduced into the safety management of prefabricated buildings. Based on the resilience absorption capacity, adaptation capacity, recovery capacity, and optimization capacity, a comprehensive evaluation index system for the safety resilience of prefabricated buildings is established. By combining prior knowledge with structural learning and parameter learning, a dynamic Bayesian network (DBN) model is constructed to dynamically evaluate the safety resilience of prefabricated buildings. Through forward causal reasoning and backward diagnostic reasoning, the dynamic safety resilience value of prefabricated buildings and the chain of maximum failure causes are obtained. Finally, by conducting a sensitivity analysis on the target nodes, the key influencing factors of the safety resilience of prefabricated construction are identified, and improvement suggestions for enhancing resilience are proposed. The results indicate that establishing a resilience safety culture, preventing unsafe behaviors of personnel, safety management, and supervision on the construction site, emergency management actions, and building a risk management information system are crucial factors influencing the safety resilience of prefabricated buildings. The enhancement of absorption capacity has the greatest impact on the safety resilience of prefabricated buildings.

Modeling and Improvement Strategies for Safety Resilience in Maritime Hazardous Chemical Transportation System Based on Dissipative Structure Theory and System Dynamics

Maritime hazardous chemical transportation accidents have the characteristics of strong suddenness, wide influence, and great harm. To analyze the ability of a maritime hazardous chemical transportation system (MHCTS) to cope with sudden disturbance events, “resilience” is introduced into MHCTS safety research. The key to studying resilience is modeling its evolutionary process. Based on the dissipative structure theory, this study analyzes the entropy flow mechanism of MHCTS safety resilience evolution. Through a statistical analysis of 197 investigation reports on maritime hazardous chemical transportation accidents, the factors influencing the safety resilience of the MHCTS were determined. The entropy value and weight of each influencing factor were calculated using the entropy method and entropy weight method, respectively. Based on this, an entropy model of the safety resilience evolution of the MHCTS was established. The evolution process falls under four categories of disturbance strengths, which were simulated using the system dynamics method. The degree of contribution of absorptive, adaptive, and restorative capacities to the improvement of system safety resilience under four disturbance conditions and the sensitivity of each influencing factor to the absorptive, adaptive, and restorative capacities were analyzed. Based on the analyses, targeted resilience improvement strategies are proposed. The research results provide a theoretical reference for the study of safety resilience mechanisms and resilience management in the MHCTS.

Exploring social-ecological system resilience in South China Karst: Quantification, interaction and policy implication

China’s Grain to Green Program (GTGP), which is one of the largest payments for ecosystem services (PES) in the world, has made significant ecological improvements to the environment. However, current understanding of its outcomes on the social-ecological system (SES) remains limited. Therefore, taking the South China Karst as an example, a SES resilience evaluation index system was constructed followed by an exploratory spatial analysis, root mean square error, and Self-Organizing Feature Map to clarify the spatiotemporal changes and relationship of SES resilience, achieve the zoning of SES resilience and provide restoration measures. The results showed an upward trend in social resilience from 2000 to 2020, especially its subsystem of social development. Regional ecological resilience was stable, owing to a slightly declined ecosystem services and increased landscape pattern. Spatially, nearly half of the counties exhibited a distribution mismatch in SES resilience. There was an obvious inverted U-shaped relationship of SES resilience, indicating a clear threshold effect, and the constraint relationship of SES resilience eased over time, demonstrating the effectiveness of the ecological restoration program. GTGP played a positive role in reducing regional SES trade-off, but this positive effect was limited, reflecting the limitations of overemphasizing the conversion from farmland to forest and grassland. Regional SES resilience can be divided into four clusters, which were the key optimization zone for social system, the SES resilience safety zone, the key restoration zone for SES resilience, and the key optimization zone for ecological system. Adaptive adjustments for the GTGP in these zones should be taken to achieve maximum SES benefits in the future.

Enhancing highway transportation safety resilience during emergencies: A network-based analysis and assessment.

In order to evaluate the impact of emergencies on the resilience of highway transportation, a resilience network hierarchical model of the highway transportation system was constructed by analyzing the formation and emergence process of safety resilience in the highway transportation system. Four layers of networks were divided, including highway network, transport network, traffic network, and emergency network. Combined with the network hierarchical model, a resilience evaluation index system was designed, and an assessment method for highway transportation systems based on the fuzzy analytic hierarchy process(FAHP) was proposed. Finally, a case study of a public health emergency in a region of Hunan was carried out. The results show that the proposed method for evaluating the safety resilience of highway transportation systems can better reflect the overall resilience under public health emergencies, which is consistent with the quantitative analysis results through the system resilience curve. It helps to accurately evaluate the safety resilience of the system. At the same time, this method has the advantages of flexibility and simplicity in solving unstructured decision-making problems of the system, which helps to improve the safety production management and safety resilience level of highway transportation systems. In the future, the scope of research scenarios and regions can be expanded, and further analysis of the evolution of safety resilience and the ability of resilience development in different stages under external disturbances can be conducted in order to further explore and optimize the resilience of the system.

The Attitudes of Emergency Department Nurses towards Patient Safety in Alqassim Region, Saudi Arabia: A Questionnairebased Cross-sectional Study

Introduction: Patient safety is a crucial aspect of healthcare delivery, and nurses play a critical role in ensuring that patients receive safe and high-quality care. As healthcare systems continue to evolve, it is essential to understand the attitudes and perceptions of nurses towards patient safety. Aim: To explore emergency department nurses’ attitudes toward patient safety in the Alqassim region, Saudi Arabia. Materials and Methods: This was a cross-sectional study involving 420 emergency department nurses from the hospitals of the Alqassim region, Saudi Arabia. The World Health Organisation (WHO) patient safety questionnaire, specifically tailored for nurses, was employed. Data analysis was conducted using Statistical Package for Social Sciences (SPSS) version 25.0. Results: Total of 139 nurses out 420 completed the research. Most participants were males aged between 22 and 30 years, married, and held a Bachelor of Science in Nursing (BSN) degree. The overall average score for patient safety reached a moderate level, with a mean of 118.66±23.33. The component on workplace safety had the highest average score of 32.33±7.40, while the section on personal attitudes towards patient safety had the lowest average score of 15.02±3.72. Conclusion: Nurses exhibited moderate attitudes towards various aspects of patient safety, including error and patient safety, healthcare system safety, and personal attitudes towards patient safety. Enhancing patient safety measures is crucial for fostering a resilient safety culture in the healthcare sector.

Analysis of the Construction of Resilient Governance System for Public Safety in Urban Communities in Jiangsu--Based on the Perspective of Adaptive Loop Modeling

Abstract As urbanization and informatization progress, human societies increasingly face unforeseeable public safety risks, necessitating a comprehensive governance system for early risk prevention. This paper introduces a model for community public safety resilience governance grounded in the adaptive cycle model and formulates research hypotheses. We derive a mathematical formula for calculating the safety disaster risk value using risk management theory, which aids in determining the resilience value and risk level of communities. The proposed governance model assesses community resilience through a four-faceted approach that encompasses natural disasters, accidents, public health events, and social security incidents. The public safety resilience of Community L in N city, Jiangsu Province, was evaluated using this model. Furthermore, it was determined that urban communities in NJ City, WX City, and XZ City had resilience governance scores of 77.655, 73.18, and 73.475, with scores exceeding 70 points. An analysis of 16 subject cities revealed that only five are currently in the renewal stage, representing an optimal state of high resilience and low risk. The remaining 11 cities face varying degrees of challenges. To prevent systemic decay, it is crucial to implement customized public safety governance strategies for different urban types.

SHINE study: Developing an intervention for safe hospital insulin use for older or frail adults with diabetes undergoing surgical hospital admission: Study protocol.

To present a study protocol for the development of an intervention to enhance safe insulin use for older or frail adults undergoing a surgical admission to hospital. Following the United Kingdom's Medical Research Council and National Institute for Health and Care Research Frameworks for development and evaluation of complex interventions; this qualitative study will use a co-design approach using design thinking, to develop a theoretical model for the intervention. Non-participatory observations, interviews and co-design workshops will be conducted with older or frail individuals with diabetes, their caregivers and healthcare staff responsible for their care during surgical admissions at a single National Health Service hospital in England. We will utilise their experiences and perspectives to establish priorities and generate ideas for the development of a conceptual model aimed at supporting the insulin safety review process in hospitals. Data will be analysed using framework analysis. People with diabetes were involved in the design of this study. The protocol was approved by the East-Midlands-Derby Research Ethics Committee (24/EM/0022). Study registered on Open Science Framework: https://osf.io/4wvu5. Results of this study will be shared with study participants and disseminated through presentations at conferences/meetings and peer-reviewed publications. This article outlines the methodology for the planned study which will employ a novel methodology to tackle the problem of hospital insulin safety. Its findings will contribute to a better understanding of the multiple interacting components implicated in hospital insulin use (patient, staff, context) and support further work around system-based strategies to enhance insulin safety resilience in hospital.

Interplay of human factors and safety culture in nuclear safety for enhanced organisational and individual Performance: A comprehensive review

The incidents at Three Mile Island and Chernobyl have poignantly spotlighted the indispensable role of human factors and organisational dimensions in ensuring nuclear safety. These events illuminated that beyond the intricate technicalities of nuclear operations, lie the equally significant non-technical facets that warrant utmost attention. While human factors delve into the cognitive and ergonomic challenges faced by operators, safety culture represents the ingrained organisational ethos that promotes or impedes safety standards. While a myriad of studies has dissected the impact of these elements on nuclear safety, the quest for an encompassing methodology that holistically integrates them is still ongoing. This paper embarked on an exhaustive review that probed the symbiotic relationship between human factors, safety culture, organisational performance, and individual performance within nuclear power plants, all the while bearing the indelible imprints of the Three Mile Island and Chernobyl disasters. Beginning with an elucidation of the core tenets of human factors and safety culture and their intrinsic ties to nuclear safety, the review delved deeper into empirical research that illustrated their influence on the overarching safety climate of nuclear establishments. It shines a light on recurrent challenges like communication lapses, leadership oversights, and the ever-present spectre of human error. In its culmination, the review underscored the intertwined nature of these pivotal elements and expounds on their collective import in sculpting a resilient safety culture in nuclear setups. Recommendations for bolstering human factors and safety culture practices, gleaned from the bitter lessons of Three Mile Island and Chernobyl, are proffered. At its core, this paper advocated for an integrative paradigm that melds organisational and individual performance metrics with human factors and safety culture insights, perpetually underscored by rigorous research and evaluation, to ensure the unerring safety and dependability of nuclear power plants.