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As tower cranes are highly dangerous, the problem of insufficient investment in tower safety needs to be solved urgently, and this study aims to solve the problem of insufficient investment in safety caused by the imbalance of interests of tower safety-related subjects and to propose targeted solutions.

Tower crane rental enterprises, contractors and government departments are selected to construct the game model, calculate the equilibrium point and stability and determine the optimal stabilization strategy. Finally, MATLAB software is used to model and simulate the impact of parameter changes on each party’s choice of strategies.

(1) The optimal combination of strategies is safety input by tower companies, leasing of qualified towers by contractors and providing non-financial incentives by the government. (2) The degree of synergistic coefficient γ, the level of government penalty coefficient α and the increase in accident probability p positively affect the adoption of proactive safety measures by tower crane leasing enterprises and contractors. (3) Excessive differences in safety costs may lead firms to adopt hostile safety measures.

This paper creatively uses safety input and tower crane leasing enterprises as the perspective and object of research on tower security. The research results are of great significance in guiding the government to formulate regulatory and incentive policies and in promoting enterprises to implement safety input to ensure construction safety collaboratively. It also provides new research cases for promoting the entire special equipment industry to realize adequate and effective safety input.

The purposes of this study were (1) to explore empirical challenges in dimensioning safety buffers and their implications and (2) to organise those challenges into a framework.

In a multiple-case study following an exploratory, qualitative and empirical approach, 20 semi-structured interviews were conducted in six cases. Representatives of all cases subsequently participated in an interactive workshop, after which a questionnaire was used to assess the impact and presence of each challenge. A cross-case analysis was performed to situate empirical findings within the literature.

Ten challenges were identified in four areas of dimensioning safety buffers: decision management, responsibilities, methods for dimensioning safety buffers and input data. All challenges had both direct and indirect negative implications for dimensioning safety buffers and were synthesised into a framework.

This study complements the literature on dimensioning safety buffers with qualitative insights into challenges in dimensioning safety buffers and implications in practice.

Practitioners can use the framework to understand and overcome challenges in dimensioning safety buffers and their negative implications.

This study responds to the scarcity of qualitative and empirical studies on dimensioning safety buffers and the absence of any overview of the challenges therein.

There are rising issues with the delivery performance of Malaysian low-cost housing (LCH) because the occupants are inclined to perceive safety hazards. Among the safety issues raised during the occupancy period in LCH are structural instability and falling building fragments. Without defining the occupants’ requirements in the early housing development, it is hard to determine the prevailing safety factors. Hence, this paper emphasises the application of post occupancy evaluation (POE) that incorporates participation from the occupants as a tool to assess the safety performance of Malaysian LCH. The purpose of this study is to develop a framework of POE integrated with safety elements for Malaysian LCH.

This research was carried out with a quantitative method using questionnaires as the survey instrument involving safety inspection survey and satisfaction surveys. The inspection survey and Occupants’ Satisfaction Survey were carried out based on 24 LCH projects located in the federal territory of Kuala Lumpur, Malaysia. In total, 380 samples were used for both surveys. Statistical correlation was used to affirm the incorporation of occupants’ participation towards safety performance in the POE approach. The Spearman’s rho (r) correlation was used in the analysis for variables in both surveys which consisted of an ordinal scale.

The correlation result revealed that there was a significant relationship among all safety attributes between safety performance and occupants’ satisfaction. Therefore, a framework consisting of POE and safety elements has been proposed based on the significance of both variables. The development process of the framework used the vital phases of POE and inputs of safety elements which consisted of three main stages: planning phase as safety input, conducting phase as safety process and applying phase as safety output.

The surveys were limited to the rented People’s Housing Programme located in Kuala Lumpur and not extensively to all LCH programmes in Malaysia. The surveys were also not carried out to other LCH programmes such as the Hardcore Poor Housing Programmes and the low- to medium-cost housing because of the limitations of time and resources.

This research has introduced a new dimension for safety performance assessment in LCH using the POE as the safety performance tool. By allowing the participation of occupants for safety assessment, this study stresses the fundamental concept of POE by highlighting the importance of obtaining feedback from the building occupants.

As a proactive measure, the proposed framework was introduced as an improved procedure to inspect safety performance in LCH during occupancy, in lieu of the current assessment process. Receiving complaints from the occupants after the occurrence of incidents is demarcated as a reactive approach, whereas the current inspection survey does not incorporate the occupants’ participation. Feedback from occupants is not a routine of building assessment during occupancy; hence, using POE is generally a new dimension of safety performance in Malaysian LCH.

To improve unsafe workplace of Chinese SMEs, this paper aims to use the multi-agent simulation experiment to reveal the relationship between employees’ safety voice and safety level of enterprises.

Through simulation of employees’ safety voice activities, enterprises’ production activities, enterprises’ safety activities, an experiment platform is built. The experiment introduces external variable of labor resource and sets four experimental situations considering whether labor resource is sufficient and whether employees’ value is significant.

The result shows that not all the employees’ safety voice can change small- and medium-sized enterprises’ safety level. When there is sufficient labor supply, employee safety voice cannot improve the safety level of enterprises; when there is short of labor and employee safety voice is strong, safety level can be effectively improved. When employees have the strikingly different value variance, safety voice of common employees cannot improve safety level of enterprises, but employee safety voice with high value can improve safety level.

This fully provides that under the circumstances of disappearing demographic dividend in China, improving employees’ safety awareness and reasonably using their safety voice can boost SMEs to enhance safety level.

Workers' unsafe behavior is the main cause of construction safety accidents, thereby highlighting the critical importance of behavior-based management. To compensate for the limitations of computer vision in tackling knowledge-intensive issues, semantic-based methods have gained increasing attention in the field of construction safety management. Knowledge graph provides an efficient and visualized method for the identification of various unsafe behaviors.

This study proposes an unsafe behavior identification framework by integrating computer vision and knowledge graph–based reasoning. An enhanced ontology model anchors our framework, with image features from YOLOv5, COCO Panoptic Segmentation and DeepSORT integrated into the graph database, culminating in a structured knowledge graph. An inference module is also developed, enabling automated the extraction of unsafe behavior knowledge through rule-based reasoning.

A case application is implemented to demonstrate the feasibility and effectiveness of the proposed method. Results show that the method can identify various unsafe behaviors from images of construction sites and provide mitigation recommendations for safety managers by automated reasoning, thus supporting on-site safety management and safety education.

Existing studies focus on spatial relationships, often neglecting the diversified spatiotemporal information in images. Besides, previous research in construction safety only partially automated knowledge graph construction and reasoning processes. In contrast, this study constructs an enhanced knowledge graph integrating static and dynamic data, coupled with an inference module for fully automated knowledge-based unsafe behavior identification. It can help managers grasp the workers’ behavior dynamics and timely implement measures to correct violations.

At present, the statistics of human error events in domestic civil aviation are limited, and the analysis indicators are difficult to quantify. The purpose of this study is to reduce the incidence of human error events and improve the safety of civil aviation.

In this paper, a safety prevention evaluation method combining analytic hierarchy process (AHP) and fuzzy comprehensive evaluation (FCE) is proposed. The risk factors of civil aviation safety are identified through questionnaire survey and calculated by MATLAB software.

The results of the study are as follows: a safety risk evaluation index system including 4 first-level indicators and 16 second-level indicators is constructed; the AHP is used to calculate the weight of the influencing factors of human error and sort them; and the FCE method is used to quantitatively evaluate the safety prevention of civil aviation human error and put forward the countermeasures.

This study also has some limitations. While it provides an overall quantitative identification of civil aviation safety risk factors, the research methods chosen, such as the questionnaire survey method and the AHP, involve individual subjectivity. Consequently, the research results may have errors. In the preliminary preparation of the follow-up study, we should analyze a large number of civil aviation accident investigation reports, more accurately clarify the human error factors and completely adopt the quantitative analysis method in the research method.

This study identifies the risk factors of civil aviation safety and conducts a reasonable analysis of human error factors. In the daily training of civil aviation, the training can be focused on previous man-made accidents; in view of the “important” influencing factors, the aviation management system is formulated to effectively improve the reliability of aviation staff; according to the evaluation criteria of human error in civil aviation, measures to prevent and control accidents can be better formulated.

In view of these four kinds of influencing factors, the corresponding countermeasures and preventive measures are taken according to the discussion, so as to provide the basis for the prevention of aviation human error analysis, management and decision-making, prevent the risk from brewing into safety accidents and improve the safety of aviation management.

Based on the questionnaire survey, this study creatively applies the safety prevention evaluation method combining AHP and FCE to the study of civil aviation human error, integrates the advantages of qualitative and quantitative methods, flexibly designs qualitative problems, objectively quantifies research results and reduces subjective variables. Then, by discussing civil aviation safety management measures to avoid risk factors, reduce the incidence of human error events and improve the safety of civil aviation.

For strategic and competitive insights, the purpose of this paper is to measure and benchmark the comparative operating efficiencies of Association of Southeast Asian Nations’ (ASEAN) major airlines and present a new interpretation along with managerial implications.

This research statistically tests returns to scale and the equality of mean efficiencies for 15 ASEAN airlines covering the period 2010-2014. The disaggregate input efficiency of ASEAN airlines is computed by comparing the target and actual inputs.

The disaggregate input efficiency of ASEAN airlines shows that aircraft efficiency is the lowest, operating cost efficiency is better, and available seat efficiency is the best.

This paper applies data envelopment analysis models, disaggregated input efficiency measures, and bootstrapping approaches to compute the operational efficiency of ASEAN airlines. Strategic suggestions are made to improve the operational efficiency of ASEAN airlines.

ARCIS is an information system holding titles, researchers' names and institutes, administrative codes, free keywords and costs for about 4,500 research projects sponsored by the Agricultural Research Council (ARC), the Ministry of Agriculture, Fisheries and Food (MAFF), the Department of Agriculture and Fisheries for Scotland (DAFS) and the Department of Agriculture, Northern Ireland (DANI).