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This paper aims to analyse the extent to which health and safety action controls, results controls and informal controls affect the integration of health and safety issues into management actions, which in turn leads to improve health and safety performance. It also investigates the extent to which those health and safety control mechanisms contribute complementarily to the integration of health and safety issues.

A survey of 108 Italian non-listed firms tests a set of hypotheses based on complementarity theory and object of control framework.

Not all the health and safety control mechanisms positively influence the integration of health and safety issues into business practices and external stakeholder relations. Complementarity between health and safety control mechanisms is significant only for higher health and safety performance companies, indicating that the health and safety control mechanisms operate as a package.

The health and safety performance measure could be replaced in future research by improved inter-subjectively testable information, although collecting health and safety quantitative data is difficult. An additional limitation is the response rate.

The findings encourage companies to design and use a comprehensive set of health and safety control mechanisms to promote a healthy workplace.

The paper contributes to the management control, sustainability management control and health and safety accounting literature. The paper provides an in-depth interdisciplinary analysis of the effectiveness of different control mechanisms in the context of health and safety that hitherto has rarely been investigated despite the multiple importance of the topic.

Non-technical skills are of increasing importance for safety engineers to perform their job. In their position as expert consultants, they work closely with managers. Thus, gaining management support is oftentimes crucial for safety engineers to successfully improve occupational health and safety. Drawing on organizational support theory (OST), this study investigates how safety engineers’ non-technical skills in communication and persuasion (i.e. rational and hard influence tactics) are related with their management support, and how management support is related with their individual task proficiency (ITP). The purpose of this paper is to examine the moderating role of safety engineers’ expert power in this context.

Using an online questionnaire, survey data were collected from 251 safety engineers working in Austria.

Rational influence tactics are positively related to ITP via management support, whereas hard influence tactics are not. Safety engineers’ expert power moderates the relationship between influence tactics and management support and, consequently ITP. High (vs low) expert status strengthens the positive relationship of rational influence tactics on ITP via management support. For hard influence tactics, high (vs low) expert power buffered the negative relationship of upward appeal and pressure on ITP via management support.

Safety engineers should rely on rational persuasion when cooperating with management to obtain support and improve their own performance.

This study connects the effect of influence tactics in the context of safety engineers’ work performance with OST. It demonstrates that safety engineers’ influence tactics are related to work role performance through management support and that these relationships are moderated by expert power.

At the US passenger stations, train operations approaching terminating tracks rely on the engineer’s compliant behavior to safely stop before the end of the tracks. Noncompliance actions from the disengaged or inattentive engineers would result in hazards to train passengers, train crewmembers and bystanders at passenger stations. Over the past decade, a series of end-of-track collisions occurred at passenger stations with substantial property damage and casualties. This study’s developed systemic model and discussions present policymakers, railway practitioners and academic researchers with a flexible approach for qualitatively assessing railroad safety.

To achieve a system-based, micro-level analysis of end-of-track accidents and eventually promote the safety level of passenger stations, the systems-theoretic accident modeling and processes (STAMP), as a practical systematic accident model widely used in the complex systems, is developed in view of environmental factors, human errors, organizational factors and mechanical failures in this complex socio-technical system.

The developed STAMP accident model and analytical results qualitatively provide an explicit understanding of the system hazards, constraints and hierarchical control structure of train operations on terminating tracks in the US passenger stations. Furthermore, the safety recommendations and practical options related to obstructive sleep apnea screening, positive train control-based collision avoidance mechanisms, robust system safety program plans and bumping posts are proposed and evaluated using the STAMP approach.

The findings from STAMP-based analysis can serve as valid references for policymakers, government accident investigators, railway practitioners and academic researchers. Ultimately, they can contribute to establishing effective emergent measures for train operations at passenger stations and promote the level of safety necessary to protect the public. The STAMP approach could be adapted to analyze various other rail safety systems that aim to ultimately improve the safety level of railroad systems.

Railways are a well-known example of complex critical infrastructure, incorporating socio-technical systems with humans such as drivers, signallers, maintainers and passengers at the core. The technological evolution including interconnectedness and new ways of interaction lead to new security and safety risks that can be realised, both in terms of human error, and malicious and non-malicious behaviour. This study aims to identify the human factors (HF) and cyber-security risks relating to the role of signallers on the railways and explores strategies for the improvement of “Digital Resilience” – for the concept of a resilient railway.

Overall, 26 interviews were conducted with 21 participants from industry and academia.

The results showed that due to increased automation, both cyber-related threats and human error can impact signallers’ day-to-day operations – directly or indirectly (e.g. workload and safety-critical communications) – which could disrupt the railway services and potentially lead to safety-related catastrophic consequences. This study identifies cyber-related problems, including external threats; engineers not considering the human element in designs when specifying security controls; lack of security awareness among the rail industry; training gaps; organisational issues; and many unknown “unknowns”.

The authors discuss socio-technical principles through a hexagonal socio-technical framework and training needs analysis to mitigate against cyber-security issues and identify the predictive training needs of the signallers. This is supported by a systematic approach which considers both, safety and security factors, rather than waiting to learn from a cyber-attack retrospectively.

The causes of high-speed railway failures are complex, and it is difficult to quantitatively and accurately describe safety evaluation. The purpose of this paper is to construct a model to ensure the safety of high-speed railway operations.

The authors construct a high-speed railway operation safety evaluation index system from four aspects: personnel, equipment, environment and management and analyze the inter-coupling relationship of various safety factors. Based on the evaluation index system, the use of network analytic hierarchy process (ANP) and fuzzy comprehensive evaluation will be used to establish a high-speed railway operation safety evaluation model.

Through the literature investigation and field investigation, combined with high-speed railway safety key points and system composition, 4 first-level indicators and 17 second-level indicators were selected to construct a high-speed railway operation safety evaluation index system. It can be seen from the results that the personnel management system and the signal and control system have the largest weight.

On the basis of establishing an evaluation index system, comprehensively considering the internal coupling relationship between evaluation indexes and the fuzziness of high-speed railway operation safety evaluation, high-speed railway uses ANP fuzzy network analysis method to construct high-speed railway operation, and the safety evaluation model has certain advantages and practicability in the case of the relative lack of high-speed railway operation data and fault data.

The purpose of this paper is to accurately capture the risks which are caused by each road user in time.

The authors proposed a novel risk assessment approach based on the multi-sensor fusion algorithm in the real traffic environment. Firstly, they proposed a novel detection-level fusion approach for multi-object perception in dense traffic environment based on evidence theory. This approach integrated four states of track life into a generic fusion framework to improve the performance of multi-object perception. The information of object type, position and velocity was accurately obtained. Then, they conducted several experiments in real dense traffic environment on highways and urban roads, which enabled them to propose a novel road traffic risk modeling approach based on the dynamic analysis of vehicles in a variety of driving scenarios. By analyzing the generation process of traffic risks between vehicles and the road environment, the equivalent forces of vehicle–vehicle and vehicle–road were presented and theoretically calculated. The prediction steering angle and trajectory were considered in the determination of traffic risk influence area.

The results of multi-object perception in the experiments showed that the proposed fusion approach achieved low false and missing tracking, and the road traffic risk was described as a field of equivalent force. The results extend the understanding of the traffic risk, which supported that the traffic risk from the front and back of the vehicle can be perceived in advance.

This approach integrated four states of track life into a generic fusion framework to improve the performance of multi-object perception. The information of object type, position and velocity was used to reduce erroneous data association between tracks and detections. Then, the authors conducted several experiments in real dense traffic environment on highways and urban roads, which enabled them to propose a novel road traffic risk modeling approach based on the dynamic analysis of vehicles in a variety of driving scenarios. By analyzing the generation process of traffic risks between vehicles and the road environment, the equivalent forces of vehicle–vehicle and vehicle–road were presented and theoretically calculated.

Basic safety message (BSM) is a core subset of standard protocols for connected vehicle system to transmit related safety information via vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I). Although some safety prototypes of connected vehicle have been proposed with effective strategies, few of them are fully evaluated in terms of the significance of BSM messages on performance of safety applications when in emergency.

To address this problem, a data fusion method is proposed to capture the vehicle crash risk by extracting critical information from raw BSMs data, such as driver volition, vehicle speed, hard accelerations and braking. Thereafter, a classification model based on information-entropy and variable precision rough set (VPRS) is used for assessing the instantaneous driving safety by fusing the BSMs data from field test, and predicting the vehicle crash risk level with the driver emergency maneuvers in the next short term.

The findings and implications are discussed for developing an improved warning and driving assistant system by using BSMs messages.

The findings of this study are relevant to incorporation of alerts, warnings and control assists in V2V applications of connected vehicles. Such applications can help drivers identify situations where surrounding drivers are volatile, and they may avoid dangers by taking defensive actions.

The paper aims to solve the problem of personnel intrusion identification within the limits of high-speed railways. It adopts the fusion method of millimeter wave radar and camera to improve the accuracy of object recognition in dark and harsh weather conditions.

This paper adopts the fusion strategy of radar and camera linkage to achieve focus amplification of long-distance targets and solves the problem of low illumination by laser light filling of the focus point. In order to improve the recognition effect, this paper adopts the YOLOv8 algorithm for multi-scale target recognition. In addition, for the image distortion caused by bad weather, this paper proposes a linkage and tracking fusion strategy to output the correct alarm results.

Simulated intrusion tests show that the proposed method can effectively detect human intrusion within 0–200 m during the day and night in sunny weather and can achieve more than 80% recognition accuracy for extreme severe weather conditions.

(1) The authors propose a personnel intrusion monitoring scheme based on the fusion of millimeter wave radar and camera, achieving all-weather intrusion monitoring; (2) The authors propose a new multi-level fusion algorithm based on linkage and tracking to achieve intrusion target monitoring under adverse weather conditions; (3) The authors have conducted a large number of innovative simulation experiments to verify the effectiveness of the method proposed in this article.

This study explains Indonesian consumers' choice of poultry meat attributes and the willingness to pay (WTP) for these attributes using a discrete choice experiment.

The survey was conducted for the traditional and modern channels and involved a sample of 440 respondents in the Greater Jakarta area. A discrete choice experiment was employed as the study framework and in designing the questionnaire. A multinomial logistic regression analysis was used to evaluate consumers' preference for poultry attributes in modern and traditional channels.

Consumers preferred warm poultry meat, government certification and product information labeling on poultry meat. The WTP for warm poultry meat was the highest, which is indicating that freshness is crucial for consumers to ensure quality. Moreover, consumers had more trust in government certification than private certification for food safety and were willing to pay more for product information labeling on poultry meat.

The government can use the model as a decision support to improve poultry meat quality at sales channels in Indonesia including to close sales channels where sick poultry are sold and thus address food safety concerns caused by the avian influenza outbreak.

This study shows that understanding the WTP for poultry meat attributes enables the government to control the poultry sales channels and stimulates producers to supply the market with a safer poultry meat quality using the price mechanism.

This paper aims to assess how patient safety culture and incident reporting differs across different professional groups and between long-term and acute care. The Hospital Survey On Patient Safety Culture (HSPOSC) questionnaire was used to assess patient safety culture. Data from the organizations’ incident reporting system was also used to determine the number of reported patient safety incidents.

Patient safety culture is part of the organizational culture and is associated for example to rate of pressure ulcers, hospital-acquired infections and falls. Managers in health-care organizations have the important and challenging responsibility of promoting patient safety culture. Managers generally think that patient safety culture is better than it is.

Based on statistical analysis, acute care professionals’ views were significantly positive in 8 out of 12 composites. Managers assessed patient safety culture at a higher level than other professional groups. There were statistically significant differences (p = 0.021) in frequency of events reported between professional groups and between long-term and acute care (p = 0.050). Staff felt they did not get enough feedback about reported incidents.

The study reveals differences in safety culture between acute care and long-term care settings, and between professionals and managers. The staff felt that they did not get enough feedback about reported incidents. In the future, education should take these factors into consideration.