Management Of Infrastructure Projects Research Articles

Option method of project management marine transport business environment in the post-war period

The beginning of a full-scale military invasion of russia into Ukraine caused significant human, economic and political losses, as well as destruction of transport infrastructure, sea transport in particular. Today, maritime transport of Ukraine is in a turbulent business environment. Therefore, the development of transport system project management and the dynamics of the military influence of sea transportation are prone to significant economic fluctuations. In modern conditions, when monitoring the work processes of international shipping companies along with the desire to maximize the current financial indicators of the operation of these projects. Issues related to the long-term planning of the chartering phases of the fleet of shipping companies are also important, taking into account the economic trends of changes in the state of the charter market and the dynamics of the military influence on the economy of Ukraine. That is why there is a need to apply the project and program management methodology using the option method as an example. Modern approaches to the management of logistics and infrastructure projects in the external and internal business environment involve the use of the method of chartering options. This method regulates the ship chartering market and improves the system of efficiency indicators of the chartering of sea vessels by shipping companies in the context of strategic projects in maritime transport. The scientific novelty of the study consists in the application of the option mechanism with the aim of time factors to freight rates operating on international freight exchanges. The application of this optional risk-oriented project method allows ship planners to protect against fluctuations in the ship freight market. Thus, it prevents and reduces the economic risk of increased freight rate fluctuations for shipowners, as freight rates are formed for a long-term perspective of 6 months to 3 years, which insures the risks of maritime business entities.

Research on Contract Risk Management of Hospital Construction Project based on Fuzzy Analytic Hierarchy Process

With Covid-2019 outbreak in December 2019, the number of medical infrastructure projects in infrastructure projects has increased. Although contract management is an important link of medical infrastructure project management but there is little quantitative research on the risk analysis. in this paper, firstly, three first-level risk indicators of contract risk management evaluation system are extracted by combing literature: contract drafting, contract signing and contract performance. Then, taking the contract management of a 3A hospital in Chengdu as an example, 12 second-level risk indicators are determined by fault tree method. Then, by experts scoring and statistically analyzing the risk points of 100 construction project contracts signed by the hospital from 2016 to 2020, the weight of secondary risk indicators is determined and the risk matrix is established. Then, the evaluation matrix of contract risk management evaluation system is established by 10 experts. Finally, the evaluation index system of contract risk management is obtained by combining the risk matrix with the evaluation matrix through fuzzy analytic hierarchy process, and the maximum membership degree method is adopted to complete the risk assessment. The research results show that there are high risks in the contract drafting stage and medium risks in the contract signing and contract performance stages in the contract management of a Grade A hospital in Chengdu. The author puts forward reasonable suggestions to improve the contract management level of hospital construction projects.

Innovations in Project Monitoring Tools for Large-Scale Infrastructure Projects

Innovations in project monitoring tools are paramount for the effective execution of large-scale infrastructure projects. This study aims to explore the transformative role of these tools in enhancing project performance, accuracy, and efficiency. The research employs a comprehensive review of existing literature, case studies, and the latest advancements in project monitoring practices. The study highlights that integrating digital tools such as Building Information Modeling (BIM), unmanned aerial vehicles (UAVs), and Geographic Information Systems (GIS) significantly improves project coordination and real-time decision-making. Automated progress monitoring technologies reduce reliance on manual data entry, enhancing the accuracy of project assessments. Additionally, sensor-based monitoring techniques enable predictive maintenance strategies, extending the lifespan of aging infrastructure. The findings underscore the importance of interoperability among digital tools and the need for robust monitoring models capable of adapting to the dynamic nature of infrastructure projects. Web-based applications and systems engineering principles further enhance the efficacy of project monitoring by providing real-time data and facilitating efficient communication among stakeholders. In conclusion, the integration of innovative project monitoring tools is pivotal for the successful execution and management of large-scale infrastructure projects. These technologies not only enhance project performance and reduce risks but also ensure sustainable and long-term infrastructure development. The study recommends continued research and investment in advanced monitoring systems to address existing challenges and unlock new opportunities for improving project outcomes. Embracing these innovations will be crucial for the construction industry to meet future demands and achieve higher standards of efficiency and sustainability. Keywords: Building Information Modeling (BIM), Unmanned Aerial Vehicles (UAVs), Geographic Information Systems (GIS), Automated Progress Monitoring, Predictive Maintenance, Project Performance Optimization.

Evaluation of Green Infrastructure Benefits in Urban Areas in Paris

Purpose: The aim of the study was to investigate the evaluation of green infrastructure benefits in urban areas in Paris. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: An evaluation of green infrastructure benefits in urban Paris found that parks and street trees effectively mitigate urban heat island effects and improve air quality by reducing pollutants such as nitrogen dioxide and particulate matter. Recommendations emphasize integrating green infrastructure into urban planning to sustain these benefits and promote environmental resilience, highlighting its critical role in enhancing urban livability and sustainability in Paris. Unique Contribution to Theory, Practice and Policy: Ecosystem services framework, social-ecological Systems (SES) theory & urban political ecology (UPE may be used to anchor future studies on the evaluation of green infrastructure benefits in urban areas in Paris. Foster interdisciplinary collaboration between urban planners, landscape architects, environmental scientists, and social researchers to enhance the design, implementation, and management of green infrastructure projects. Advocate for policy frameworks that integrate green infrastructure into urban planning and development strategies at local, regional, and national levels. This includes incentivizing green infrastructure adoption through financial incentives, tax breaks, and regulatory support.

Intellectual Stimulation and Performance of Water Works Development Agencies in Kenya.

This study sought to examine the effect of intellectual stimulation on performance of water works development agencies(WWDA) in Kenya and to determine the moderating effect of legal framework on the relationship between the intellectual stimulation and performance of water works development agencies (WWDA) in Kenya. A descriptive research design and positivist research paradigm was adopted. The population of this study was the 116 projects in the 8 Water Works Development Agencies (WWDAs) while the unit of observation was 116 projects in the organizations. This study employed stratified random sampling in selecting the sample. The study used primary data collected using a semi structured questionnaire. Data analysis was done using Statistical Package for Social Sciences (SPSS) computer software version 26. Qualitative data collected was analyzed using content analysis and presented in prose form. Quantitative data was analyzed using descriptive and inferential statistics. Descriptive statistics included mean, standard deviation, frequencies, and percentages. The study also computed correlation analysis to measure strength and the direction of linear relationship between variables. Regression model was fitted to the data to determine how the independent variable affect the dependent variable. The study further used hierarchical multiple regression models to measure the moderating effect of legal framework. The findings were presented in tables and figures. The study found that intellectual stimulation had a positive and significant relationship with the performance of WWDA in Kenya. On the moderator, the study found that legal framework has positive significant moderating effect on the relationship between intellectual stimulation and performance of WWDA in Kenya. Based on the findings, WWDA should encourage intellectual stimulation among their leaders to improve their performance. This can be done by providing opportunities for employees to engage in creative thinking and problem-solving activities. Leaders should also encourage employees to challenge their assumptions and biases, and to explore new and innovative ways of doing things. It is also important for leaders to provide training and development opportunities for their employees, which can enhance their knowledge and skills. Furthermore, leaders should create a culture of continuous learning, where employees are encouraged to seek out new information and ideas. Additionally, there is a need to establish effective legal frameworks that ensure transparency, fairness, and accountability in the management of public infrastructure projects, particularly those related to performance of WWDA in Kenya.

Geopatial Technologies in Civil Engineering : A Critical Literature

This study investigates the role of geospatial technologies in enhancing the efficiency and effectiveness of civil engineering projects. Geospatial technologies, including Geographic Information Systems (GIS), remote sensing, and spatial analysis, have revolutionized the field of civil engineering by providing critical tools for planning, design, construction, and management of infrastructure projects. The integration of these technologies enables accurate terrain mapping, real-time monitoring, and data-driven decision-making, which are crucial for ensuring the safety, sustainability, and resilience of modern infrastructure. This research aims to explore the applications of geospatial technologies in various civil engineering projects, including highway planning, urban development, and environmental monitoring. The study also examines the potential benefits and limitations of these technologies and provides recommendations for their effective integration into civil engineering practices. By understanding the impact of geospatial technologies on civil engineering projects, this research aims to contribute to the development of more efficient, sustainable, and resilient infrastructure that supports the needs of modern society.

Influential factors for risk assessment and allocation on complex design-build infrastructure projects; the Texas experience

Introduction: The design-build (DB) delivery method is used to deliver increasingly complex transportation infrastructure projects associated with higher uncertainty. As such, allocating risks in the contract between the owner and design-builder becomes challenging and often leads to higher initial bids, increased contingency, or claims. Learnings from implementation worldwide have underlined the need for improving risk allocation in DB contracts. Most existing studies address risk allocation mechanisms to manage contingency at the contract level. Other studies have recognized the need for owners to adapt their processes to better allocate risks in DB contracts. This study explored the influential factors for risk assessment and allocation for complex DB infrastructure projects, addressing the opportunity to improve transportation owners’ risk allocation processes before the design-builder is selected and the DB contract is awarded.Method: The objectives of this work were achieved by utilizing empirical data collected through 20 interviews with Texas Department of Transportation and private sector experts. The interview data were analyzed using inductive and axial coding. Inductive coding allowed themes to emerge without a pre-existing framework, identifying six influential factors and six pertinent risks on complex DB projects.Results: These factors include the (i) Quality of DB teams, (ii) Level of up-front investigation, (iii) Limitations on the timing of letting, (iv) Design optimization opportunities, (v) Project-specific requirements, and (vi) Relationships with third parties. Through axial coding, the interaction and frequency between the factors and risks were also examined. The coded interactions demonstrated how the identified factors influence allocation for six pertinent risks including right-of-way acquisition, stakeholder approval, site conditions, permits and third-party agreements, railroad interaction, and utility adjustments and coordination. Findings indicate that the evaluation of these interactions can shift the risk allocation from baseline norms established by an agency to correspond to project-specific needs.Contribution: In contributing to the infrastructure project management, this is the first study to examine the factors that influence risk allocation in complex DB projects and examine interactions with pertinent risks, setting the foundation for optimizing allocation based on project-specific needs. In practice, the findings presented in this study can guide owners in adapting their allocation practices, managing, and developing their strategic plan for delivering complex DB projects. The findings can also assist contractors in pricing risks more efficiently and increase competitive bidding.

The Social Value of Public Infrastructure Works

Public infrastructure projects hold significant social value as they provide essential services, spur economic development, create job opportunities, and enhance quality of life by facilitating access to basic amenities and reducing commute times. This study aimed to assess the social impact of public infrastructure projects in the northern region of Peru, focusing on indicators such as access to basic services, inequality reduction, poverty alleviation, economic growth, and citizen well-being. Employing a quantitative approach with a non-experimental and descriptive design, the research engaged a sample of 124 engineering professionals who were surveyed to gauge their perceptions of public infrastructure project management in the northern region of Peru. The findings reveal predominantly negative perceptions towards the management of public infrastructure projects in the northern region of Peru, indicating the presence of deficiencies or irregularities in project execution. It is recommended to propose measures aimed at enhancing transparency, fostering citizen participation, and promoting accountability in the management of public infrastructure projects. Received: 12 March 2024 / Accepted: 20 April 2024 / Published: 5 May 2024

The knowledge and holistic management indicators to measure the sustainability of area-based infrastructure project (AIP)

For determining the effectiveness of area-based infrastructure management, a comprehensive measurement to implement and develop an infrastructure project would need to be integrated in holistic and knowledge management. The main objective of this study was to identify the keys to measurement the sustainability of area-based infrastructure project (AIP) management. First, the key performance indicators were reviewed and selected. Next, the interviews with project developers and managers of the pilot site were conducted to investigate the real context of significant keys. The discussion with five experts who have relevant experience in area-based infrastructure projects management then arose to validate possible key performance indicators. Based on the expert comments, the questionnaire was revised for its validity and clarity. Then, the data collection using a questionnaire was sent out to representative samples across Thailand. Later, there was the analysis to interpret the survey results. The results revealed that there are two groups of keys to measure the sustainability of AIP management. One was the “Holistic Management (HM)”, which consisted of seventeen components. The other was the “Knowledge Management (KM)”, which involved six similarity items. It was found that the aforementioned factors can explain 70.024% of the total cumulative variance in the entire datasets compiled for the assessment of keys to measurement the sustainability of AIP management. The main outcomes from this study can be beneficial for the development of effective and good governance strategies for achieving sustainability patterns of area-based infrastructure project management. This theory offers the understanding of how the effectiveness of key measurement of AIP management can drive sustainable development project s, which can help in project manager and developer research on identity-related transitions.

Transforming Infrastructure Project Management: Integrating Blockchain and Predictive Analytics for Enhanced Audit and Risk Management

Transforming Infrastructure Project Management: Integrating Blockchain and Predictive Analytics for Enhanced Audit and Risk Management

Idealized Influence and Employee Performance in Water Works Development Agencies in Kenya

This study sought to examine the effect of idealized influence on employee performance in water works development agencies (WWDA) in Kenya. It was guided by Transformational Leadership Theory. A descriptive research design and positivist research paradigm was adopted. The population of this study was the 7 Water Works Development Agencies (WWDAs) while the unit of observation was 450 staff in the organizations. Krejcie and Morgan were used to determine the study sample size of 207 respondents. This study employed stratified random sampling in selecting the sample. The study used primary data collected using a semi structured questionnaire. Data analysis was done using Statistical Package for Social Sciences (SPSS) computer software version 26. Qualitative data collected was analyzed using content analysis and presented in prose form. Quantitative data was analyzed using descriptive and inferential statistics. Descriptive statistics included mean, standard deviation, frequencies, and percentages. The study also computed correlation analysis to measure strength and the direction of linear relationship between variables. Multiple regression models were fitted to the data to determine how the predictor/independent variables affect the response/dependent variable. The study further used hierarchical multiple regression models to measure the moderating effect of legal framework. The findings were presented in tables and figures. The study found that idealized influence has a positive and significant relationship with employee performance in WWDA in Kenya. On moderator, the study found that legal framework has positive significant moderating effect on the relationship between idealized influence and the employee performance in WWDA in Kenya. Based on the findings of this study, it is recommended that WWDA should enhance idealized influence among their leaders to improve their performance. This can be achieved by developing a leadership style that exhibits strong ethical and moral values, and by consistently practicing what they preach. Leaders should also be seen as role models, which can inspire their subordinates to emulate their behavior. Additionally, there is a need to establish effective legal frameworks that ensure transparency, fairness, and accountability in the management of public infrastructure projects, particularly those related to water service delivery. Further studies should explore the impact of other factors such as technology, funding, and political will influence employee performance in WWDA in Kenya.

Integration of Building Information Modeling (BIM) with Transportation and Facilities: Recent Applications and Future Perspectives

At present, increased modes of transport have facilitated daily life. Building information modeling (BIM) integration has become a key strategy to foster efficiency, collaboration, and sustainability in the fields of buildings, transport, and facilities. Currently, there is a scarcity of comprehensive examinations of the performance of integrated BIM with transport facilities and applications to help identify potential prospects for sustainable development. Hence, this research paper attempts to scrutinize the integration of BIM, transportation, and facilities (T and Fs) by highlighting future directions and trends, revealing the existing status and hotspots of research in the field, and clarifying the developmental pulse of research as well as emerging areas in the future. A quantitative research technique is utilized in this study, using VOSviewer and CiteSpace software, and the Web of Science Core Collection (WoSCC) database. The study findings suggest that the hot keywords for the integration of BIM and T and Fs are predominantly concentrated on construction, framework, system, design, and management. In addition, over the previous 34 years (years 1989 to 2023), the applications of point cloud, digital twin, and life cycle assessment have been the current hot topics, and these emerging technologies can offer more innovative breakthroughs for the future. Furthermore, the integration of BIM and T and Fs represents an important trend that is essential for improving the efficiency, sustainability, and intelligence of buildings and infrastructure, from which the three domains can create synergies that contribute to the better planning, construction, and management of building and infrastructure projects.

Implementation Building Information Modelling For Construction Projects In Remote and Challenging Locations

This research discusses the innovative implementation of digitalization of infrastructure construction based on Building Information Modelling (BIM) 5D on the Toapejat - Rokot - Sioban Road and Bridge Handling Project (Simp. Logpon) in the Mentawai Islands. The focus is a collection of AEC software from Autodesk, including Revit, Civil 3D, Navisworks, and BIM 360, which supports the project's BIM goals. This method is proven to provide a holistic approach to planning, design, construction, and management of infrastructure projects. In the face of growing competition and innovation of BIM technology, this study emphasizes the need for continuous innovation for construction companies to participate in the development of digital construction technology. The project is considered a clear example of BIM's crucial role in overcoming construction challenges in remote areas, unlocking potential for future projects on isolated islands.

The utility of risk matrix analysis in the management of large-scale infrastructure projects

The utility of risk matrix analysis in the management of large-scale infrastructure projects

РАЗВИТИЕ ТЕОРЕТИЧЕСКИХ ОСНОВ УПРАВЛЕНИЯ РИСКАМИ КРУПНЫХ ИНФРАСТРУКТУРНЫХ ГЧП-ПРОЕКТОВ

The purpose of this article is to develop the theoretical foundations of risk management in the implementation of large infrastructure projects with government participation using the example of the development of high-speed railways in Russia. The relevance of this topic is due to the fact that for Russia, high-speed highways are a completely new type of transport infrastructure, the creation of which requires the development of existing views and approaches to risk management of large infrastructure projects with government participation. The impact of high-speed highway projects on a country’s economy is difficult to overestimate, as they affect many factors: from stimulating development to improving the quality of life of the population, which is why studying existing tools and proposing new views on risk management that increase the success of projects with government participation is one of the key issues to be addressed.

Transformation of the multilevel system of transport infrastructure project management

The article is devoted to the development of theoretical and methodological provisions aimed at systemic transformation of the organization of a multi-level system of project management of transport infrastructure. The authors propose to use the method of multi-parametric assessment for groups of projects aimed at the development of transport infrastructure based on economic and environmental indicators, including determining the level of efficiency of the socio-innovative potential of transport, taking into account the degree of possible risks. The significance of the practical component of the study is to determine a set of conditions for the possible practical use of the methodology for managing groups of projects in the field of transport infrastructure considering the effectiveness of the implementation of the tasks and goals laid down in them. The method of organization of project management makes it possible to optimize the number of unrealized groups of projects in a multiple way, to carry out the procedure of ordering and multifactorial selection in the context of each hierarchical management level. The reliability of the results obtained was confirmed by the implementation of projects in the field of transport in Moscow, as well as the use of various mathematical methods.

Structuring risks for a comprehensive understanding of cost overruns in power plant projects

Purpose Power plant projects are very complex and encounter serious cost overruns worldwide. Their cost overrun risks are not independent but interrelated in many cases, having structural relationships among each other. The purpose of this study is, therefore, to establish the complex structural relationships of risks involved. Design/methodology/approach In total, 76 published articles from the previous literature are reviewed using the content analysis method. Three risk networks in different phases of power plant projects are depicted based on literature review and case studies. The possible methods of solving these risk networks are also discussed. Findings The study finds critical cost overrun risks and develops risk networks for the procurement, civil and mechanical works of power plant projects. It identifies potential models to assess cost overrun risks based on the developed risk networks. The literature review also revealed some research gaps in the cost overrun risk management of power plants and similar infrastructure projects. Practical implications This study will assist project risk managers to understand the potential risks and their relationships to prevent and mitigate cost overruns for future power plant projects. It will also facilitate decision-makers developing a risk management framework and controlling projects’ cost overruns. Originality/value The study presents conceptual risk networks in different phases of power plant projects for comprehending the root causes of cost overruns. A comparative discussion of the relevant models available in the literature is presented, where their potential applications, limitations and further improvement areas are discussed to solve the developed risk networks for modeling cost overrun risks.

UTILIZATION OF BIM (BUILDING INFORMATION MODELING) TECHNOLOGY TO INCREASE EFFICIENCY AND ACCURACY OF INFRASTRUCTURE PROJECT PLANNING

This research aims to investigate the use of BIM (Building Information Modeling) Technology as an innovative solution in increasing the efficiency and accuracy of infrastructure project planning. The research method consists of identifying stakeholder needs, developing an integrated 3D BIM model, validating and testing the model, integration into the Project Information Management System (PMIS), as well as training and application in the field. By adopting this approach, it is hoped that it will be able to improve the quality of planning information, provide a holistic view of the project, and optimize collaboration between stakeholders. This research focuses not only on the technical aspects of BIM models, but also on their practical implementation in real construction environments. The results of this research are expected to make a significant contribution to increasing the effectiveness of infrastructure project management through the use of BIM technology.

Call for papers: Program management of major infrastructure projects

Call for papers: Program management of major infrastructure projects

Conceptual model for managing the phases of implementation of infrastructure projects and programmes in the post-war period

The outbreak of Russia’s full-scale invasion of Ukraine has caused significant human, economic, and political damage, as well as destruction to infrastructure. However, in the future, all losses incurred should be recovered. Therefore, creating models to manage infrastructure projects is still important, especially in the post-war environment of Ukraine. The purpose of this study was to build a model that would allow for the highest management efficiency in the implementation of infrastructure projects in the post-war period and to describe the possibilities of its practical application. The main methods used in the study were analysis, modelling, and abstraction. Thus, the study built a conceptual model of management of infrastructure projects and programmes in the post-war period. The study also analysed the current theoretical framework for infrastructure project management and highlighted the issue of substantiating the parameters of infrastructure programme and project products. Network models, their features and possibilities of use were described to provide a clearer picture of the project’s work and more efficient resource management. The paper emphasised that infrastructure projects are often divided into two phases: construction and operation. The study also described the importance of infrastructure projects for the efficient transport of goods and passengers and their impact on the competitiveness of the transport system. This study offers a more profound insight into the specific features of managing the implementation phases of infrastructure projects, especially in the post-war period, and brings new knowledge for management in the context of building large-scale investment programmes