Ranking of Risks for Existing and New Building Works

A Spatial-Temporal Multi-Feature Network (STMF-Net) for Skeleton-Based Construction Worker Action Recognition

Globally, monitoring productivity, occupational health, and safety of construction workers has long been a significant concern. To address this issue, there is an urgent need for efficient methods to continuously monitor construction sites and recognize workers' actions in a timely manner. Recently, advances in electronic technology and pose estimation algorithms have made it easier to obtain skeleton and joint trajectories of human bodies. Deep learning algorithms have emerged as robust and automated tools for extracting and processing 3D skeleton information on construction sites, proving effective for workforce action assessment. However, most previous studies on action recognition have primarily focused on single-stream data, which limited the network's ability to capture more comprehensive worker action features. Therefore, this research proposes a Spatial-Temporal Multi-Feature Network (STMF-Net) designed to utilize six 3D skeleton-based features to monitor and capture the movements of construction workers, thereby recognizing their actions. The experimental results demonstrate an accuracy of 79.36%. The significance of this work lies in its potential to enhance management models within the construction industry, ultimately improving workers' health and work efficiency.

Identification of key factors influencing unsafe behavior of decoration workers

This study explores the factors influencing unsafe behaviors among decorators. The study begins with a literature review on unsafe behaviors among construction workers, compiling a checklist of factors specific to decorators. Utilizing exploratory factor analysis (EFA), a measurement scale for these factors is developed. Subsequently, stepwise regression analysis (SRA) is conducted to validate relationships and identify crucial factors. Results categorize influencing factors into three dimensions: personal, organizational and environmental. Non-compliance with safety procedures and protocols is found to correlate directly with increased unsafe behavior at an individual level. Additionally, internal safety regulations within companies are identified as having a direct negative impact on unsafe behaviors at the organizational level. This study enhances our understanding of unsafe behaviors among decorators and offers recommendations for mitigation.

Invisible threats: An investigation of electrical hazards and safety practices among residential electricity consumers

Understanding electrical hazards and implementing safety measures is paramount to protecting lives and property. Therefore, this research investigates electrical hazards in households and safety measures taken by residents in Sokode-Etoe, Ghana. The primary objective is to identify gaps in knowledge regarding electrical hazards among domestic electricity consumers and offer recommendations to enhance safety and mitigate the risks. The data were systematically collected from 200 participants, including both homeowners and tenants, using a structured questionnaire. The results were presented using Likert scale analysis, sample t-test, binary logistic regression analysis, involving statistical hypothesis testing of predictor variable coefficients, Importance-Performance Map Analysis (IPMA) and Necessary Condition Analysis (NCA). Participants showed a high awareness of electrical hazards, yet demonstrated a weaker grasp of safety practices, correct emergency procedures, and infrequent testing of wiring systems by homeowners. The predominant electrical accident that emerged was electrical shock. Most homeowners have not engaged certified electrical inspectors for a decade, reflecting uncertainty about the safety protocols in place. Furthermore, respondents expressed a degree of uncertainty regarding the safety measures implemented in their households concerning electricity usage. This study underscores the pressing need to raise awareness and promote safe electrical practices in residential environments. Such an educational initiative could utilize a variety of communication channels, social media influencers, renowned personalities, customised mobile applications and other platforms. This research stands out as the inaugural investigation offering a comprehensive examination of the hazards related to energy consumption and safety precautions in Ghana. It focuses on an often-overlooked demographic of electricity users in Ghana, shedding light on domestic electrical safety issues and the growing hazards.

Mining LDA topics on construction engineering change risks based on graded evidence

Engineering change (EC) risk may negatively impact project schedule, cost, quality, and stakeholder satisfaction. However, existing methods for managing EC risk have certain shortcomings in evidence selection and do not adequately consider the quality and reliability of evidence associated with EC risks. Evidence grading plays a crucial role in ensuring the reliability of decisions related to EC risks and can provide essential scientific and reliability support for decision-making. In order to explore the potential risks associated with architectural engineering changes (ECs) and identify the most significant ones, this study proposed a methodology that combines evidence grading theory and Latent Dirichlet Allocation (LDA) topic analysis means. Initially, the evidence-based grading theory served as the creation of a grading table for evidence sources related to EC risk. Specifically, we categorized the evidence sources into three levels based on their credibility. Subsequently, we selected evidence with higher credibility levels for textual analysis, utilizing the LDA topic model. This involved analyzing regulations, industry standards, and judgment documents related to EC, ultimately identifying the themes associated with EC risks. In addition, by combining EC risk topics with relevant literature, we identified factors influencing EC risks. Subsequently, we designed an expert survey questionnaire to determine the key risks and important risk topics associated with potential risks. The results show that by synthesizing information from both Class A and B evidence, a total of five prominent risk themes were identified, namely contract, technology, funds, personnel, and other hazards. Among them, the technical risk has the highest value, so it implies that the risk is the most important, and the key risks are engineering design defects, errors, and omissions.

Evaluation of insurance policies in the Saudi Arabian construction contracts

The construction sector is more complicated and prone to risk than many other industries due to the size of the projects and the financial capital involved. Arranging insurance is the prudent course of action for risk management in the construction sector. There is a lack of clarity in insurance policies for public construction projects in the Kingdom of Saudi Arabia (KSA), which poses additional risks to all involved contracting parties. The aim of this research is to evaluate insurance policies in the KSA's public construction projects to identify the key deficiencies and obstacles and provide a road map for improvement in the insurance sector concerning insurance against financial losses, professional liability, defects' liability, hidden defects, and others. Forty-two contractors and forty-two owners in Saudi Arabia were surveyed, using a questionnaire to gather information for the study about their knowledge of and attitudes regarding risk transfer through insurance (professional liability, defects liability, and hidden defects). The study also covers the selection criteria for insurance policies for projects that potentially shift risk to the construction sector. Ten criteria were also examined as potential sources of liability issues and suggested as potential remedies in KSA. The findings indicate that the duty and liability of engineers and those participating in these projects can be offset by engineers' insurance against professional errors and hidden flaws, and by the construction industry's clear liability policy. Additionally, the research is envisaged to contribute to construction projects' overall quality and safety, ensuring that robust legal and financial safeguards protect all stakeholders.

Research on an innovative design and evaluation method of Chinese tea sets based on GT-AHP-FCE

AIMS

In order to explore new consumer demands for Chinese tea set products, propose an innovative tea set product design and evaluation method to improve the user experience and satisfaction of the produced tea sets, thereby promoting the development of the tea set market and the promotion of tea culture.

METHODS

Firstly, grounded theory (GT) was used to analyze interview data to extract consumer demand indicators and construct a design evaluation hierarchical model. Secondly, the Analytical Hierarchy Process (AHP) was used to calculate the weights of the indicators, determine their priority of importance, and obtain several indicators that have a greater impact on the tea set design to guide innovative design practice. Lastly, the tea set design schemes were evaluated using the fuzzy comprehensive evaluation method to select the optimal design scheme and also to act as a guideline for further design optimization.

CONCLUSION

This study explores the innovative design and evaluation method for tea set products based on GT-AHP-FCE and validates the feasibility of this approach through a practical example of tea set design inspired by "The Classic of Mountains and Seas.". It provides innovative theoretical and practical guidance for designers of subsequent tea set products and also provides a new path for the inheritance and innovation of traditional culture.

Psychological, Structural, Social and Economic Determinants of Suicide Attempt: Risk Assessment and Decision Making Strategies

The aim of this research was to conduct a risk assessment and management of psychological, structural, social and economic determinants (PSSED) in a suicide attempt. The sample consisted of 353 individuals who had a recorded history of suicidal attempt; and 20 professional individuals by purposive sampling method within a descriptive cross-sectional design. Worksheets for RAM and AHP were used for data collection in this study. The rate of suicide attempt was 7.21 per 100,000 population in this study. Analysis showed that depression and mental disorders; personality disorders; family problems; socio-cultural and economic problems; lack of awareness; and low level of education have a high level of risk for suicide attempts. Psychiatric and psychological services; awareness and knowledge of life skills; medical services to dysfunctional families; development of community-based planning for PSSED of suicide; and employment and entrepreneurship services may lower suicide attempt risk.

The nexus between land use land cover dynamics and soil erosion hotspot area of Girana Watershed, Awash Basin, Ethiopia

Maintaining hilly agriculture and food security remains challenging due to the ongoing degradation of the land caused by soil erosion on Ethiopia's highlands. . Soil erosion is one of the major problems affecting land and water resources. With the increase of land-use change, erosion and soil degradation increase significantly, leading to a loss of fertile soil every year. This study was therefore designed to identify erosion hotspot areas and their spatial and temporal alteration with land use land cover (LU/LC) change in the Girana watershed to give an option to local government decisions makers towards watershed management strategies. An attempt was made to combine a set of factors such as topographic wetness index (TWI), soil type, land use (1989 and 2019), slope, rainfall, and gully locations using geographic information system (GIS) based multi-criteria decision analysis (MCDA) to achieve the stated objective. Criterion maps of each factor have been processed and the factors were weighted using analytical hierarchy process (AHP) based pair-wise comparison methods, and weights have been combined using weighted overlay analysis to obtain the final erosion hotspots areas of the two-time references (1989 and 2019). The result found that 0.01%, 8.01%, 84.06%, and 7.92% of the total area fall under highly sensitive, moderately sensitive, marginally sensitive, and currently not sensitive erosion risk zone respectively for the year 1989 and 0.06%, 17.42%, 80.88% and 1.63% of the total area fall under highly sensitive, moderately sensitive, marginally sensitive, and not sensitive erosion risk zone respectively for the year 2019. Parts of the area that are highly sensitive, and moderately sensitive to Soil erosion classes increased markedly for the last thirty years in the Girana watershed, as a result of the conversion of thousands of forest areas to cultivated land and residential area. Therefore an urgent soil conservation intervention in hotspot areas is compulsory in the Girana watershed.

Construction safety: an analysis of the cross-influence of economic, construction, and accident death factors

To explore the relations between the number of accident deaths (NCD) and various factors in construction safety, a multiple linear regression model was established, based on the panel data of economy, construction labor, and the number of accident deaths in 31 provinces (regions) of China from 2009 to 2018. The results show that the average total profits and taxes (TPAT), and the death rate of ten thousand people (DR) are positively correlated with NCD, while the labor productivity (LP) is negatively correlated with it. Under the condition that other factors remain unchanged, NCD increases by 0.02 per a hundred million CNY. However, if DR increases by one ten thousand, NCD will increase by 8.66 on average. On the contrary, when LP increases by a hundred million CNY per ten thousand people, NCD decreases by 0.19. The model also predicts NCD in different provinces and cities from 2019 to 2020 with the method of quadratic exponential smoothing. As well, practice results show that the model is effective and practical.

Modeling Social Impacts of High-Rise Residential Buildings during the Post-Occupancy Phase Using DEMATEL Method: A Case Study

There are numerous risks associated with high-rise buildings, which not only affect stakeholders during the design and construction phase but also impact the occupants and the surrounding environment during the post-occupancy phase. While previous studies examined the risks of high-rise building construction, less attention has been paid to the diverse impacts of high-rise buildings on their occupants. To fill this gap, this study applied a mixed-method approach (both quantitative and qualitative) to identify and prioritize their most significant social impacts. First, the possible social impacts of these buildings were identified via a literature review. The interrelationships among the identified factors were then determined by drawing on the opinions of relevant experts. Next, through the quantitative phase, the high-rise residential buildings of District 22 of Tehran were considered as a case study, and according to the opinions of 230 chosen residents, the level of influence of factors on one another was determined. The DEMATEL approach was employed subsequently to analyze the data and identify the most important and influential factors. Finally, through the qualitative phase, in-depth interviews were conducted with residents to explain and validate the results. The most significant and influential impacts identified by this study were anti-social behavior, lack of social cohesion, and lack of social contact with neighbors. This study assists designers and policymakers to adopt strategies that could mitigate the identified impacts and improve occupants’ social wellbeing more efficiently.

Agroforestry Practices in Livelihood Improvement in the Eastern Cape Province of South Africa

Agroforestry plays a significant role in increasing agricultural productivity. In South Africa, there is a pressing need for promoting smallholder agriculture to promote sustainable rural livelihoods, to ensure food security, to lower inflation in food prices, and address rampant rural unemployment in the country. The agricultural economy is characterised by a monopoly structure where almost every single staple in South Africa is already produced by large manufacturers that can produce it at better quality and lower cost than the average smallholder enterprise or cooperative. Such a monopoly structure fundamentally undermines the development of local markets, where local small-scale producers sell to their local community. The novelty of this study is addressing the research gap that conventional rural livelihood analyses often neglect, i.e., the role of environmental products in general, and forest and agroforestry products. Using a log linear regression model with cross-sectional data collected from a sample of 300 households, this study explores the likely impact of agroforestry practices in promoting the livelihood of rural communities in the study areas. Results obtained from multiple linear regression analysis showed that average household income increased as a function of utilization of agroforestry practices. Agroforestry contributes to sustainable rural livelihoods in South African provinces where the predominant means of livelihoods is rural subsistence farming and agriculture. Since valuation of agroforestry products and services are technically difficult, farmers often underestimate the contribution of agroforestry to the household’s livelihood income. These findings have policy implications in promoting food security in the Eastern Cape Province of South Africa and beyond.

Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities

For the past four decades, the methodology of fuzzy analytic hierarchy process based on fuzzy trapezoidal or triangular numbers with the linear type of membership functions has witnessed an expanding development with applicability to a wide variety of areas, such as industry, environment, education, government, economics, engineering, health, and smart city leadership. On the other hand, the interval gray analytic hierarchy process is a more practical method when a significant number of professionals have large variations in preferences and interests in complex decisions. The paper examines the management of architectural heritage in smart cities, using methods of multi-criteria decision making. Two appropriate methods generally recommended by the scientific literature have been applied: fuzzy and interval grey analytic hierarchy process. By using both techniques, there is an opportunity to analyze the consensual results from the aspect of two different stakeholder groups: architectural heritage experts and smart city development experts. Trapezoidal fuzzy analytical hierarchical process shows better stability than a triangular one. Both approaches assign priority to the strategy, but the interval approach gives a more significant rank to architectural heritage factors. The similarity of the proposed methods has been tested, and the similarity factor in the ranking indicates a high degree of similarity in comparing the reference rankings.

An assessment of fire safety measures in healthcare facilities in Nigeria

Purpose

The occurrence of fire accidents in hospital buildings has become a serious challenge and more serious in developing nations. The purpose of this paper intends to assess fire safety measures in Nigerian hospital facilities. The significance of this study is to ensure that the design and construction of hospital facilities enhance the safety of users and properties.

Design/methodology/approach

The data were collected via a case study and questionnaire survey and administered to the facility users. The study survey is to assess the respondents' perception of fire safety measures in hospital facilities and suggest possible policy measures that will be employed to enhance safety.

Findings

This paper found that 91% of the respondents have awareness of fire safety measures in hospital facilities. Electrical faults and combustible materials were identified as the frequent causes of fire occurrences in hospital facilities. This can be averted where flammable materials and electrical appliances are correctly installed, and safety rules enforced. Findings show that safety rules are lax in public than standard private hospitals.

Research limitations/implications

This paper is limited to fire safety measures in Nigerian healthcare facilities. Future research is needed to evaluate the level of compliance from design, construction and post-construction of precautionary fire safety measures in hospital facilities in Nigeria.

Practical implications

This paper recommended that designers and hospital administrators should improve on fire safety measures via the development of fire safety management plan and education. Thus, enforcement of fire safety measures in hospital facilities as specified in building codes should be implemented and monitored during and after the design of the hospital buildings. Findings provide valuable lessons on how to improve the fire safety measures in healthcare facilities across the states and other developing countries with similar healthcare situations.

Originality/value

This paper demonstrates that the stakeholders, especially government agencies concern with approval and enforcement of fire safety measures in healthcare facilities need to reawaken to her responsibility because of the lax implementation across the states.

Construction Safety Risk Assessment for Existing Building Renovation Project Based on Entropy-Unascertained Measure Theory

With the development of society, there are more and more existing building renovation projects. According to the common construction safety problems, and based on the characteristics of the construction process of renovation project, this paper established a construction safety risk assessment model of renovation project based on entropy-unascertained measure theory. Firstly, the assessment index system was determined by risk identification and analysis. Secondly, the unascertained measure theory was applied to the construction safety risk assessment of renovation project, and the weight of each index was determined by the entropy weight method. Finally, taking the actual renovation projects as examples to calculate its safety risk grade, it is found that the assessment results of the model are basically consistent with the actual situation of the site by comparison. The research shows that the model can provide a new idea to quantitatively assess the construction safety risk of renovation project and provide a reliable basis for the management and control of the construction safety of existing building renovation project.

Sustainable Emergency Management Based on Intelligent Information Processing

In this paper, we introduce how to identify, rank, evaluate, and respond to risks based on intelligent information processing, providing new ideas and research directions for sustainable emergency management. First, we discuss the contributions and deficiencies of the existing research that have informed the development and launch of this Special Issue and, second, we provide an overview of the three articles included. In addition, this article introduces this particular Special Issue, not only to complement the somewhat lacking body of related literature, but also to help contemporary companies deal with issues related to sustainable emergency management based on intelligent information processing.

Risk Profiling from the European Statistics on Accidents at Work (ESAW) Accidents' Databases: A Case Study in Construction Sites

The number of accidents and victims in the construction sector has not decreased significantly despite the increasingly stricter laws and regulations. The analysis of accidents, as well as their root causes and determinants can certainly contribute to the development of more effective preventive interventions. The present study proposes a methodology for the analysis and synthesis of data provided by accidents statistics with the goal of defining specific risk profiles based on the accidents determinants, their variables, and how they interact with one another in influencing the occurrence of an accident. For this purpose, a procedure capable of extracting this type of information from the European Statistics on Accidents at Work (ESAW) database was developed. In particular, data processing and aggregation are performed by means of the synergic use of the Matrix of Descriptors (MoD) and cluster analysis. To validate such a procedure, the analysis of fatalities due to electrical shocks was carried out. The results achieved allowed us to elicit valuable information for both safety managers and decision makers. The proposed methodology can facilitate a systemic analysis of accidents databases reducing the difficulties in managing reports and accident statistics.

Sustainable Construction Safety Knowledge Sharing: A Partial Least Square-Structural Equation Modeling and A Feedforward Neural Network Approach

Most studies focused on the introduction of new technologies have not investigated the psychological factors affecting the willingness to use them or conducted empirical studies to explore whether willingness and actual construction safety knowledge-sharing behavior are associated with fewer construction incidents. We conducted face-to-face and LinkedIn open-ended interviews as well as a global survey to study the willingness and actual behavior to share construction knowledge via social software Web 2.0, Internet of Things (IoT) and mobile apps. Then, the Partial Least Square-Structural Equation Model (PLS-SEM) for willingness and actual knowledge-sharing behavior, as well as the Multilayer Perceptron (MLP) Neural Network were used to illustrate the effect of various factors on predicting the willingness to share knowledge via Web 2.0, mobile apps and IoT. Results of the interviews found that practitioners use IoT for knowledge sharing, mainly because they do not want to fall behind the curve. PLS-SEM and MLP revealed that practitioners share construction safety knowledge are not driven by safety-related reasons such as safety awareness enhancement but perceived organization support from their companies. Employees who agree that their organization cared about their employees’ well-being was the strongest predictor in influencing people’s decision to use tools for knowledge sharing. Moreover, many respondents claimed that factors such as monetary rewards have little impact on motivating people to use tools for knowledge sharing.