РИЗИКИ В ІНЖИНІРИНГУ БУДІВЕЛЬ: СУТНІСТЬ, ПРИЧИНИ, НАПРЯМКИ ВИРІШЕННЯ

Moreover, there is an increasing amount of literature covering specific geotechnical risk analysis and management topics. Examples of these are the difference between unsafe geotechnical certainty and safe geotechnical uncertainty (Barends, 2005), the role of the human factor in achieving geotechnical reliability (Bea, 2006), objective and subjective ways of geotechnical risk classification (Altabba et al., 2004), and contractual allocation of geotechnical risk (Essex, 2007).

This study aims to evaluate the relationship between the size of the construction business and the location of the risk with the risks that arise in construction projects in Indonesia. The method used is two-way anova analysis by sampling 90 construction projects in Indonesia. The independent variable in this study is the size of the construction business and the location of the risk, while the dependent variable is the risk on the construction project. The results showed that there is a significant relationship between the size of the construction business and the risks of construction projects in Indonesia. In addition, there is also a significant relationship between the location of risks and risks in construction projects in Indonesia. However, there was no significant interaction between the size of the construction business and the location of risk to risk in construction projects in Indonesia. This research contributes to the construction industry in Indonesia in evaluating the factors that affect risk in construction projects. By knowing the relationship between the size of the construction business and the location of the risk with the risk on the construction project, the contractor company can improve the risk management strategy to minimize the risk to the construction project in the future. Future research may consider other variables such as contractor experience and expertise as well as external factors such as market and political conditions to better understand the factors that influence risk in construction projects in Indonesia.

Risks in construction projects can be defined as the probability of an event that impairs the viability of the project. This probability, perhaps, is higher than in other industries. In the construction sector, as elsewhere, various risks that affectbusiness can be identified. This paper aims to identify, classify and analyze the most significant risks inherent in large engineering or construction projects, with particular attention to the group of economic risks and developing finally a conclusion in this regard. The results showed that construction projects are exposed to many risk sources, internal and external, being one of the most important, the financial risks such as inflation, fluctuation of the currency, lack of solvency, etc. Construction is a complex area involving many factors that can affect the final outcome, and being a teamwork process whose common goal is the completion of the project, the risks are essentially due to the uncertainty affecting the various participants in it. Key words: Risk allocation, financial risks, construction projects, infrastructures.

Quality monitoring in infrastructural design-build projects : the analysis of an audit-based monitoring system

This paper aims to study the humanitarian risks in construction projects that affect the objectives of the project from time, cost and quality, and to identify, analyze and develop the appropriate strategy, monitor and control and specifically the risk of factors affecting construction projects. A questionnaire was designed to collect data and identify risks in construction projects and then distributed to several public and private sector companies registered with the Organizing Council for engineering works contractors in Sudan, and after the risks facing the construction projects were identified through the questionnaire and telephone interviews with The engineers and managers of these companies, these risks were analyzed by Google Form. The results of the questionnaire showed that inflation, increased prices of materials in the market, weak site management, delayed payments from the contractor and awarding the design to unqualified designers, that is the most important factors affecting the objectives of construction projects in Sudan, and the contractor is the most vulnerable among the parties to the project.

Risk prediction is a vital aspect of construction project management. It involves identifying, assessing and managing potential risks that may arise during a project’s lifecycle. Construction projects are often impacted by exterior factors and unforeseen events that are beyond the regulator of project managers. These can comprise, economic downturns, natural disasters, supply chain disruptions and changes in government regulations. The key challenges in managing a construction project is predicting and mitigating potential risks. The dynamic and unpredictable nature of the construction industry presents significant limitations to accurate risk prediction in projects. They are influenced by multitude of external factors such as weather conditions, economic changes and political instability. Predicting risks in construction projects is often time-consuming and costly process. It requires substantial quantity of capitals comprising skilled personnel, phase and financial investment. Inherent nature of construction projects, lack of comprehensive data, human factor and traditional reactive approach to risk management are some of the primary limitations. To overcome these limitations, there is a need for collective and data-driven method to risk assessment and administration. Forthcoming of predicting risks in construction projects is moving towards a more proactive, data-driven and collaborative approach. The use of technologies based on Artificial Intelligence (AI), Building Information Modelling (BIM) and drones will play a significant role in identifying and mitigating risks. By harnessing the power of AI, ML, BIM, drones, data analytics and virtual and augmented reality, project managers can accurately assess threats and advance operative strategies of mitigation.

Environmentally assisted crack growth

This article was developed with the purpose of generating new knowledge about the use of unmanned aerial vehicles (drones) in the identification of occupational risks in construction projects in Peru. This work seeks to demonstrate the importance of unmanned aerial vehicles in preventive management, generating privileged aerial information from various work areas in reduced time and producing added value in occupational risk management compared to traditional methods. The unmanned aerial vehicle generates valuable information that allows different work areas to be examined in real time and to promptly detect substandard acts and conditions that may affect workers. Currently in Peru, there is little information on the use of unmanned aerial vehicles in occupational risk management; Therefore, this study has revealed favorable results on the relationship that exists between the unmanned aerial vehicle and risk identification. This correlation is supported by the statistical tests carried out, which establish that autonomous flight, panoramic views and Field inspections carried out by the drone are essential to identify occupational risks in construction projects.

PurposeRisks play an important role in the success of construction projects. Failure in identification and assessment of risks can lead to inadequacy in the process of managing risks, which in turn can critically affect the projects’ resources. A formal risk management is rarely practised in construction projects due to the lack of contractors’ awareness of key risks. The purpose of this paper is to focus on the investigation of risk factors in construction projects in Italy from contractors’ perspective.Design/methodology/approachSemi-structured interviews were conducted to collect data, based on which a total of ten key risks were ascertained. The identified risks were compared with the findings of the surveys conducted in the Australian and Chinese construction industry to address the unique risks associated with construction projects in Italy.FindingsThe key risks included delays in payments, client variations, design variations, inaccurate cost estimates, and tight project schedules. The comparison between those three countries specified the delays in payments and project funding problems as the most critical factors that are related to cultural influences and behaviour of clients. The findings assist contractors in the risk identification process, and can be applied to the development of a risk management framework for construction projects.Research limitations/implicationsThe findings of this study cannot be generalised statistically for the whole of Italy as it was constrained geographically, with respondents drawn only from a self-selection sample of construction projects in the Veneto region of Northern Italy. The findings represent a snapshot of the key potential internal and external risks from the perspective of contractors.Originality/valueThe results of the study specified the key risks of construction projects from the perspective of contractors which can contribute to risk management for construction projects.

The current research investigates cost overrun factors in structural projects, focusing on the Middle East and North Africa (MENA) region using Egypt as a model. A systematic literature review was conducted, analyzing 405 research papers published between 2000 and 2024, from which 69 relevant papers were selected to identify 48 key factors contributing to cost overrun. Using K-means clustering, these factors were grouped into three clusters based on their probability and impact, which were classified for their risk levels. To ensure robust analysis, a survey was conducted to gather expert opinions, resulting in 369 valid responses from owners, contractors/subcontractors, and management firms/consultants. The fuzzy group decision-making approach (FGDMA) was conducted to rank all 48 factors, offering a detailed assessment of their relative importance. Based on these rankings, the top 20 factors were identified for analysis to examine variations in stakeholder priorities, capturing differences in perspectives among multi-stakeholders. Sensitivity analysis and Tornado charts explored the critical variations among stakeholders, with management firms/consultants and owners prioritizing design-related risks, such as inconsistencies and delays in approvals, while contractors/subcontractors focused more on material waste. This novel integration presents a structured approach for analyzing, prioritizing, and mitigating cost overrun risks, offering a comprehensive framework that provides practical insights for stakeholders to improve cost and risk management strategies.

The construction industry has a dynamic and complex environment. The successful completion of a construction project depends on various factors. Accordingly, construction delay is observed to happen in construction projects. It is highly affecting the construction sector and the economy of the country too. Although previous research studies identified the causes, effects, and mitigation methods separately, this study adopts a linked approach and directs to identify the effective applicable mitigation methods and their practices on each significant cause of delay in construction projects. Moreover, contractors are noted as one of the main sources of construction delay from the previous studies. Hence, this research aims to develop a framework to determine the applicable mitigation strategies and the practices of each mitigation strategy for each significant cause of contractor’s delays in construction projects in Sri Lanka. A mixed research approach was adopted to generate the research process. A literature review was conducted on construction delays, organizational and project management factors, and professional competency, mitigation strategies in delay management. The significant causes of delays and effective mitigation strategies were ranked through a questionnaire survey using a Likert scale. Project Managers and Quantity Surveyors in the Sri Lankan construction industry were selected in the ratio of 1:3 respectively for the interview as they are mostly engaged with delay management. Also, the respondents were limited to 68 and the collected data were analysed through the Relative Important Index (RII) method, to rank the significant causes and mitigation strategies. Then techniques and possible mitigation strategies were found through interviews and content analysis was used to analyse the data. The findings indicated that most of the contractor’s delays can be mitigated through applying proper mitigation strategies as effective management approaches in the construction projects such as effective project planning and schedules of construction works, maintain positive financial stability and well qualified and experienced professionals and staff, effective strategic planning, risk analysis, and management, selection of suitable sub-contractor and management and effective site management and supervision. In addition to that, inaccurate planning and scheduling of the project, financial dishonesty, poor procurement of construction materials, ineffective time management of contractors, and incompetence of management professionals and staffs were identified as the most significant contractor’s causes of delays in construction management.
 Keywords: Delays, Significant Causes, Mitigation, Construction Management, Construction Projects.

Introduction: Construction projects are one of the most important sectors of the economy of the country, which has a high capacity for job creation. Construction projects as part of a huge and strategic set of construction projects that unfortunately have a large share of work-related accidents due to the lack of attention to safety. One of the most important issues that can contribute to these events in construction projects is the weakness or lack of comprehensive and efficient risk management. The purpose of the present study was to identify and rank safety risks in construction projects with the combined approach of FUZZY FMEA and FUZZY TOPSIS Materials and Methods: This study is descriptive-survey research in terms of purpose and terms of data collection The research was conducted by case study in the case of Qasrdaria town project in Mahmudabad city in 2015. Data collection was through a field study on the statistical population, including project managers, supervising and executive engineers, and building safety experts. The data were calculated in MATLAB and EXCEL software and the output of FUZZY FMEA and FUZZY TOPSIS methods were analyzed. This method for subsequent stages of risk assessment and risk control based on their priority, as well as cost savings. Results: The identified risks were given to the building safety specialists in the form of a questionnaire. The most important risks extracted from the FUZZY T.O.P.S.I.S method were related to the colliding crane arm with the building and then slipping and falling off the people from the stair ramp. In the FUZZY F.M.E.A method, the risks associated with falling from the edge of the pit, slipping and falling off the stair ramp, as well as falling from the scaffolding and workstations are the highest. Conclusion: The most important identified risks in the construction industry based on these two ways are as follows: falling off the edge of a pit, slipping and falling from a stair ramp falling from a scaffold, workstations, colliding of crane arm with the building and slipping and falling people from the stair ramp

The construction industry is a significant part of the Egyptian economy. In real terms, the Egyptian construction industry registered growth during the review period (2011–2015) and expected to continue to expand over the forecast period (2016–2020), with investments in residential, infrastructure, energy and utilities construction projects. Forecast-period growth will drive by government efforts to develop the country's rail and road infrastructure and meet its energy targets by 2022. But currently, Egypt’s economy is suffering from a shortage of foreign currency reserves and liquidity, leading the country’s central bank to float the Egyptian pound’s value, which has subsequently risen from 8.88 to 18 pounds per US dollar (a 100% increase), a recession started. Hence, the performance of the construction industry is affected by national economies. The aim of this study is to develop appropriate risk model to mitigate recession effect on construction industry in Egypt.Methodology of the following study based on identifying the potential risks in construction projects under recession period, characterizing their probability and impacts, performing the quantitative and qualitative risk analysis (based on questionaries’ survey conducted in the year 2015/2016), and statistical analysis by (SPSS) has been carried out to develop risks’ model and measurement framework using the Primavera Risk Analysis (V8) Software. Focusing in various project’s size and type (small, large, private, and governmental projects). The results show that the corruption associated with recession is the most aspect of risks affecting the Egyptian construction sector during recession periods in addition risks that related to poorly sector participants management abilities

Purpose: The purpose of this research study was to investigate determinants of successful implementation of infrastructure projects in Laikipia County. The objectives of the study included assessing the role of stakeholder engagement, funds disbursement, monitoring practices and project leadership on successful implementation of infrastructure projects. There were four theories adopted including stakeholder theory, resource based view, human capital theory and transactional theory. Methodology: A descriptive survey design was used to conduct the study. The researcher targeted 108 project managers.. The respondents were purposively selected because they are in the frontline in the implementation of the project. The data was collected using questionnaires. Data was then analysed using descriptive and inferential statistics. Quantitative was analysed using SPSS software. This was presented by use of both quantitative and qualitative analysis in form of frequency tables, pie charts, percentages and bar charts. Findings: The study results showed that all the four independent variables were statistically significant relationship with successful implementation of projects. Unique Contribution to Theory, Policy and Practice: This study uniquely advances theory by integrating local socio-economic factors into infrastructure project success models. For policy, it offers evidence-based recommendations tailored to Laikipia County’s governance and resource contexts, promoting more effective project oversight. Practically, it provides actionable strategies for stakeholders to enhance stakeholder collaboration, risk management, and resource allocation, improving implementation efficiency and sustainability of infrastructure projects in similar developing regions.

Occupational safety and health (K3 - Keselamatan dan Kesehatan Kerja)) is an important element that should not be ignored in the implementation of construction projects. This is due to the high level of risk in the construction industry, which is influenced by a dynamic work environment full of various activities. This research aims to evaluate the potential occupational safety hazards in construction projects using a specific approach. JSA serves as a systematic method for identifying hazards at each work stage, while Hierarchy of Control provides a structured framework for determining risk mitigation priorities based on control effectiveness levels, starting from elimination, substitution, engineering controls, administrative controls, to personal protective equipment (PPE). The research methodology uses a quantitative descriptive approach with the help of questionnaire instruments and field data. Data were analyzed using descriptive analysis, validity and reliability tests, correlation, and regression. The results of the research show that occupational safety risks in projects are relatively high, with several potential main hazards such as falling from height, being hit by materials, and contact with high temperatures. Of the 43 risk variables analyzed, 12 risks (27.91%) were included in the high-risk category and 25 risks (58.14%) were in the moderate-risk category. control is carried out through PPE and engineering control. The implementation of JSA and Hierarchy of Control has proven to be effective in identifying and lowering work risks. The conclusion of this research can be the basis for improving the K3 management system in a more measurable and sustainable direction.