Construction Projects Research Articles

Application of the Public-Private Partnership Concept in Airport Development in Bintan Regency to Enhance the Coastal Economy

The efforts of various regions to introduce the identity and beauty of their areas are often hindered by inadequate infrastructure and poor management by local governments. Additionally, funding, which is critical for development, poses a significant challenge. As a solution, Public-Private Partnerships (PPP) offer an alternative approach to budgeting and financing that extends beyond the use of regional (APBD) and national (APBN) budgets. In Bintan Regency, various infrastructure developments aimed at supporting the tourism sector have been undertaken. Notably, PT. Angkasa Pura II, in collaboration with PT. Bintan Aviation Investments, is committed to constructing an international airport designed with Airport Resort Facilities, named Bintan New Airport or Busung Airport, to bolster the economy of Bintan Regency. However, the study reveals that the development, which is anticipated to become a cornerstone of economic strength in Bintan Regency, faces significant challenges from the Airport Business Entity (BUBU). This has resulted in delays and complications in the continuation of the airport construction project between PT. Angkasa Pura II and PT. Bintan Aviation Investments. Despite these obstacles, the partnership remains focused on achieving its goal of enhancing the regional economy through improved infrastructure and tourism facilities. he collaboration between PT. Angkasa Pura II and PT. Bintan Aviation Investments represents a strategic move to leverage private sector efficiency and innovation in public infrastructure projects. Nonetheless, the ongoing challenges with the Airport Business Entity highlight the complexities involved in such partnerships, necessitating careful management and oversight to ensure project continuity and success.

Development Strategies for Z County E-sports Town in Chongqing: Integration of E-sports, Tourism, and Agriculture under New Policies

Chongqing Z County E-sports Town was once included in the “first batch of sports and leisure characteristic town pilot project list” issued by the General Administration of Sports of China. After several years of development, the e-sports industry in Z County e-sports town has struggled with issues such as a limited market, low popularity, poor business performance, and a lack of income generation capabilities. These challenges have severely hindered the town’s development, resulting in its exclusion from the recent “Chongqing characteristic town list.” Under the requirements of new policies, it can no longer promote itself, attract investment, or undertake project construction under the name of a “characteristic town” and must undergo redevelopment. This paper employs case analysis and comparative investigation methods to conduct an in-depth empirical study on the development of Z County E-sports Town. It is proposed that under the new policy environment, the town should foster the deep integration of its existing e-sports industry and culture with tourism and agriculture, transforming Z County E-sports Town into a new characteristic tourist destination. The findings of this paper offer a reference for the development of similar towns facing stagnation and provide case support for the construction of tourist destinations featuring e-sports.

An Integrated Approach to Constraints Theory and Fuzzy Analytical Hierarchy Process (FAHP) in Construction Projects (Case Study)

The research endeavors to harness the benefits stemming from the integration of constraint theory into construction project management, with the primary goal of mitigating project completion delays. Additionally, it employs fuzzy analysis to determine the relative significance of fundamental constraints within projects by assigning them appropriate weights. The research problem primarily revolves around two key issues. Firstly, the persistent utilization of outdated methodologies and a heavy reliance on workforce experience without embracing modern computerized technologies. Secondly, the recurring problem of project delivery delays. Construction projects typically encompass five fundamental constraint types: cost restrictions, time constraints, administrative and legal limitations, technical and design constraints, and environmental constraints. To address these issues, a field study was conducted, focusing on the development of a housing complex in Qa'imaqamiya, Al-Mada'in district, Bismayah. The researchers propose a three-stage methodology to tackle these challenges. In the initial stage, the theory of accelerated activities is applied to all concurrent implementable tasks. Subsequently, the second stage introduces a hierarchical analysis process, known as FAHP, to quantify the importance of each constraint. Finally, in the third phase, fuzzy logic is employed to calculate the projected duration and associated costs for each activity, ensuring project execution and delivery within agreed-upon timeframes. After applying the proposed methodology, there is a reduction in completion time by up to (23%). Research Type: Research Paper

Control Analysis of Building Under Construction from Indoor Mobile Mapping Systems

Abstract. During the execution phase of construction projects, quality defects arise due to various factors such as human intervention, technical aspects, logistical issues and environmental influences. Early detection of these defects is imperative to minimize their impact and prevent possible delays, increased costs and safety hazards. This paper explores the effectiveness of indoor mobile laser scanners for geometric quality control, adhering to established European technical norms and Spanish standards. Our developed approach presents a simple method for rapid assessment, capable of identifying vertical deviations in columns and walls, axis deviation in columns, flatness deviation in horizontal planes and level deviation using LIDAR data from Mobile Mapping Systems. This methodology has been validated through a real-world case study, demonstrating its practical applicability.

IMPACTO DO PLANEJAMENTO E GESTÃO NA CONCLUSÃO DE OBRAS: ESTUDO DE CASO DE UMA CONSTRUÇÃO EM ILHÉUS-BA

This study aims to investigate the performance of a project in the municipality of Ilhéus-BA, with emphasis on the Scheduled Percentage Completed (PPC) and the main justifications for not meeting weekly targets. Using descriptive observational research with a qualitative and quantitative approach, data collection was carried out over 34 weeks, with information recorded in a spreadsheet developed to monitor progress and identify deviations. The results showed that only 5 of the 34 weeks managed to reach or exceed the PPC index of 75%, with an overall average of 62%. The study seeks to highlight the importance of having more effective planning and improved resource and team management. It is recommended to implement a more efficient supply management system and strategies to ensure team continuity and qualification. These findings provide valuable information to promote continuous improvement in the execution of construction projects, helping to mitigate delays and optimize the achievement of targets in future projects.

Evaluating the Performance of Taiwan Airport Renovation Projects: An Application of Multiple Attributes Intelligent Decision Analysis

Performance evaluation is a vital tool for measuring whether construction projects meet their established objectives, particularly in complex tasks. It helps identify key areas for improvement and enhances resource allocation efficiency. Through precise performance evaluation, managers can make optimal decisions regarding resource use, ultimately increasing project productivity and overall performance. The objective of this study is to measure the production efficiency of airport renovation projects in Taiwan using data envelopment analysis (DEA) and to apply artificial neural networks (ANN) for predicting project quality. DEA effectively handles scenarios with multiple inputs and outputs, providing relative efficiency comparisons among projects and quantifying the potential for improvement. ANN, on the other hand, can learn nonlinear patterns from the data, allowing for accurate predictions of project quality. As construction projects become more complex, ensuring efficient operation within limited resources becomes increasingly crucial. Traditional performance evaluation methods are inadequate for addressing scenarios involving multiple inputs and outputs; therefore, using DEA and ANN offers a more accurate framework for analysis and prediction. The results of this study indicate that, through the DEA model, five projects achieved an efficiency score of 1, while twelve inefficient projects need to reduce defect frequency by 54.76% and increase the progress and budget implementation efficiency by an average of 10.33% to improve performance. The ANN model achieved a classification accuracy of 94.1% and a mean squared error (MSE) of 0.11 in regression predictions. By adopting a data-driven approach, ANN facilitates intelligent decision making and forecasting throughout the construction process. This study provides construction managers with concrete guidelines for resource allocation and quality prediction, thus enhancing project management effectiveness.

OS DESAFIOS DA IMPLANTAÇÃO DA METODOLOGIA BIM EM ESCRITÓRIOS DE ARQUITETURA NA CIDADE DE VITÓRIA DA CONQUISTA – BA

Building Information Modeling (BIM) can be defined as a methodology that uses 3D models and their detailed data on all elements involved in a civil construction project. As society is a constantly evolving organism, the Construction Industry has faced the need to adapt in order to deliver better productivity results, thereby meeting increasingly meticulous demands more effectively. Scientific research has shown that the use of BIM can reduce project completion times in infrastructure by up to half. Given this, why is the number of architecture and urban planning firms in Vitória da Conquista – BA, that use this methodology still so minimal? This article, through bibliographic research as well as opinion surveys with architects and urban planners from the city of Vitória da Conquista, aims to demonstrate the challenges of implementing Building Information Modeling (BIM) methodology in offices in Vitória da Conquista – BA. Thus, the points discussed in this work will provide a reflection on this question, the conclusion of which will depend on the awareness and experience of each participating architect, as well as the robustness of the understandings used to support the content in the following sections.

Urban Wastewater Management Using BIM Method

Building Information Modeling (BIM) is a method that emphasizes object-based data management, communication, and collaboration among all project participants throughout the entire lifecycle of a system. It is becoming an international standard for large-scale construction and infrastructure projects. Although BIM is gaining traction in the wastewater industry, the literature on its application in this field is still limited. This research, through expert interviews and literature review, explores the extent to which BIM has been introduced in the sewage industry and the associated opportunities and challenges. Initial projects in wastewater management using BIM include the construction and development of sewage treatment plants and special structures. Planning offices are leading the way in adopting BIM, supported by catalogs of industry-specific objects, clear definitions of responsibilities, and the potential for enhanced operation of sewage systems. Some users have already recognized the benefits of BIM and adjusted their processes accordingly. BIM’s object-oriented modeling improves the visualization of construction projects and processes, offering significant advantages in model-based plan derivation and mass determination. It also focuses on the collection, exchange, and storage of relevant data, which can benefit the entire wastewater industry. The research confirms that BIM adds value to wastewater management, especially since infrastructure is often difficult to access post-construction and knowledge about the systems is typically limited to those involved in the construction phase. However, to fully and effectively utilize BIM, further improvements are necessary. This requires intensive collaboration among project participants, software producers, and customers. The integration of BIM in wastewater management holds promise, but its successful implementation depends on overcoming current challenges and enhancing the method through collective effort. DOI: https://doi.org/10.52783/pst.928

The Use of Waste Materials Red Mud and Fly Ash as Road Embankment Fill

This study provides a comprehensive evaluation of red mud as a sustainable material for road base construction, particularly in combination with bottom ash. Red mud, a by-product of the Bayer process used in alumina extraction, is known for its high alkalinity and heavy metal content. For this reason, this waste material causes environmental challenges. Red mud sourced from the Eti Aluminum Factory in Seydişehir, Konya (Turkey), was stabilized with bottom ash. Then, these waste materials were tested through a number of experiments, such as in relation to their Atterberg limits, compaction characteristics, unconfined compressive strength (UCS), California bearing ratio (CBR), and microstructure through a scanning electron microscopy (SEM) analysis. The results highlight that the UCS of stabilized red mud samples significantly improved with the addition of bottom ash and longer curing periods. Specifically, the UCS values increased from 0.5 MPa to 2.5 MPa after 28 days of curing. Moreover, RM specimens stabilized with 25% bottom ash achieved a CBR value of 146.64% after 28 days, far exceeding Turkey’s road fill material requirement, which mandates a minimum unsoaked CBR value of 15%. These findings indicate that red mud stabilized with bottom ash not only meets but exceeds the structural requirements for road base materials. This approach provides a sustainable solution for the environmental management of red mud while contributing to infrastructure development. Through the recycling of these industrial by-products, this study presents a viable method to reduce waste and support economic and environmental sustainability in road construction projects.

Design And Build Project Risk Analysis at Tugu Pal 0 Stage II Project Construction

The implementation of the design and build method in the Phase II Pal Nol Monument construction project, managed by the Public Works and Spatial Planning Agency (PUPR) of South Kalimantan Province, aims to analyze the risks associated with the design and construction processes. This project, which utilizes an integrated design and build construction method (multi-year), is located on Jl. Dharma Praja within the South Kalimantan Provincial Office Area and executed by the contractor KSO ADHI-PUTRA. A comprehensive risk mitigation strategy for the project includes detailed work planning, effective coordination, periodic evaluation, a thorough understanding of design specifications, continuous risk analysis, flexible contingency plans, and strong communication with government entities and stakeholders. Keywords: Risk Analysis, Design and Build, Construction, Tugu PAL 0 Stage II

BIM-Supported Knowledge Collaboration: A Case Study of a Highway Project in China

Collaboration is challenging in highway building projects since there are always a number of stakeholders involved, each with different responsibilities, backgrounds, objectives, and competing interests. The basis for addressing collaboration problems in building projects is knowledge. Knowledge management (KM) can benefit greatly from the distinctive characteristics of BIM (building information modeling). Therefore, the purpose of this study is to investigate knowledge collaboration in highway construction projects that is enabled by BIM. It first explores the motivations behind and difficulties with using BIM for knowledge-based collaboration. Next, it looks for possible ways to overcome those difficulties. It employs a large highway project as a study case in China. It uses in-depth interviews with a range of contractors working on this project to comprehend the difficulties they face in working together and investigate ways that BIM-supported KM can help stakeholders collaborate more effectively. Ultimately, it creates a conceptual model for knowledge-driven collaborative management within the BIM environment, offering both a theoretical framework and useful direction for knowledge-based collaboration amongst various stakeholders. The study explores the advantages of BIM characteristics in knowledge collaboration, which provides empirical evidence for the transformation from traditional IT-based knowledge collaboration to BIM-based knowledge collaboration in large and complex highway projects.

Factors Affecting Project Owners' Commitment to Implement Green Building Principles in the South Kalimantan Province of Indonesia

The construction of green buildings faces various challenges, including high costs, extended implementation timelines, and numerous requirements that must be satisfied. This study aims to analyze the factors influencing the implementation of green buildings. The research focuses on the PUPR Office in South Kalimantan Province, as well as planning consultants, construction management personnel, and contractors involved in the construction projects of the South Kalimantan Sports Hall and the Sheikh Muhammad Arsyad Al-Banjari Mosque in South Kalimantan Province. Key factors affecting the implementation of green buildings include financial commitment, energy savings, and the utilization of environmentally friendly materials. These factors encompass several variables: additional fund allocation for green buildings, the skills and experience of designers, the integration of natural and artificial lighting, energy-saving planning, the application of prefabrication technology and flatpack design, the use of sustainable materials, the incorporation of local wisdom, and strategies for light efficiency and outsourcing that involve gain sharing. Keywords: Building Construction, Building Energy Performance, Energy, Green Building, Green Construction

Project Controls Model for Sustainable Construction Projects

As sustainability rises in significance in the construction industry, there is a need to adopt new project management techniques to help achieve increases in sustainability objectives. There have been several research works that have investigated the integration of sustainability in construction. However, there is a gap in addressing performance measurement and evaluation during the construction phase. Traditional project performance evaluation methods use the Earned Value Management (EVM) technique to assess time, cost, and scope performance. However, EVM does not address the performance of sustainability goals. The main objective of this paper is to develop a new project controls method for sustainable construction projects. Sustainability performance indicators can play an essential role in advancing the practice of sustainable construction. Accordingly, a Sustainable Earned Value Management (SEVM) model incorporating sustainability indicators was developed to monitor the attainment of sustainability objectives in construction projects in addition to the traditional objectives. The proposed SEVM model uses the construction planning optimization model to prepare the baseline plan to monitor the project’s time, cost, and sustainability performance. The proposed model enhances the monitoring and control of sustainable construction projects in terms of time, cost, and sustainability using sustainability indicators.

Retraction: “Empowering Users as a Principle of Construction Project Management”

Retraction: “Empowering Users as a Principle of Construction Project Management”

Unveiling and modelling the impact of safety drivers on the overall success of construction projects in developing countries

The construction industry faces significant risks, leading to high accident rates and injuries, underscoring the urgent need for effective safety implementation. In developing countries, safety implementation is often inadequate, leading to increased incidents and project failures. This study investigates how implementing safety drivers (SDs) can enhance overall project success (OPS) in construction through a five-step process. Initially, systematic searches and scientometric analyses are conducted to review existing literature and establish a foundational understanding. A questionnaire is then distributed to experts in the Egyptian construction sector. The third step involves exploratory factor analysis (EFA) to categorize relevant variables. Following this, partial least squares-structural equation modeling (PLS-SEM) tests the proposed conceptual model and analyzes relationships among the variables. The final step employs Fuzzy Synthetic Evaluation (FSE) to rank SDs categories. Findings from PLS-SEM indicate that SDs have a medium to high impact on OPS, accounting for 58.8% of the total influence. The FSE results reveal that the planning and implementation group ranks as the most significant at 3.48 on evaluation matrix. This research contributes to the limited literature on safety in developing countries like Egypt by proposing a novel model that links SDs to OPS, offering practical insights for the construction industry.

Evaluation model design of project construction safety level based on bidirectional recurrent neural network (BiRNN) and bidirectional long short-term memory (BiLSTM)

Integrating deep learning methods for multi-element regression analysis poses a challenge in constructing safety evaluations for building construction. To address this challenge, this paper evaluates the integration of construction safety by quantitatively analyzing practitioners’ information and on-site construction conditions. The analytic hierarchy process (AHP) method quantifies construction safety capabilities, considering four key aspects: operators’ primary conditions, organizational personnel’s working conditions, on-site management conditions, and analysis of unsafe behaviors. A comprehensive set of 19 secondary causal factors is constructed. Furthermore, a hybrid model based on bidirectional recurrent neural network (BiRNN) and bidirectional long short-term memory (BiLSTM) is developed for construction safety evaluation, enhancing the model’s generalization ability by introducing the Dropout mechanism. Experimental results demonstrate that the fusion of BiRNN and BiLSTM methods outperforms traditional methods in construction safety evaluation, yielding mean squared error (MSE) and root mean squared error (RMSE) values of 0.48 and 0.69 and mean absolute error (MAE) and mean absolute percentage error (MAPE) values of 0.54 and 3.36%, respectively. The case study affirms that BiRNN-BiLSTM can accurately identify potential safety risks, providing reliable decision support for project management.

Construction Project Performance Based on Occupational Safety, Occupational Health and Work Motivation

Many construction organizations still employ workers without regard to the application of accident risk, although a focus on safety is predicted to improve worker performance. This study aims to examine the effect of occupational safety and health and incentive factors on worker performance in housing construction projects. This study used a quantitative approach and was tested using the SEM-PLS method with a sample of 72 respondents. The results showed that well-implemented occupational safety and health significantly improved worker performance, by reducing the risk of injury and improving worker welfare. In addition, high work motivation plays a role in increasing project productivity and efficiency. Emphasis on safety, health, and work motivation was shown to have a positive impact on achieving better project performance. The implications of this research provide important insights for construction managers and policy makers in optimizing project success through the implementation of effective safety protocols, wellness programs, and appropriate motivation strategies. Thus, this study highlights the importance of integrating occupational safety and motivation as key factors in achieving superior project performance.

Resource Planning and Collapse of Buildings in Kiambu County, Kenya

Purpose: The research sought to find out the impacts of resource planning on building collapse in Kiambu County, Kenya. Therefore, this research aimed to establish the impact of resource planning on building collapse in Kiambu to be able to advise on how to contain the problem and enhance the non-collapse of such buildings. Methodology: In this study, the authors adopted a simple random sampling technique to identify construction projects in Kiambu County based on Kahneman and Tversky’s Scheduling Fallacy Theory that covers problems such as over-optimism and false resource forecasting on resource requirement necessary for efficient completion of the project. The descriptive research method was also used in the study since it included both qualitative and quantitative data. The population of the study consisted of 545, which included the employees from the physical planning department, architects, surveyors, engineers, and contractors’ builders, and finally the sample size came to 231 as estimated By Yamane, 1967. Findings: The research findings revealed that poor resource management has partly influenced building failures. Attempts by the contractors to solve the problem and eradicate the vice have been frustrated by the locals and politicians for their selfish reasons which have not been highlighted in this study. The research also pointed out that handling of resources reveals the highest mean score of 4.1773 this means that most respondents hold positive attitudes towards their practice of resource planning. Unique Contribution to Theory, Policy, and Practice: The Scheduling Fallacy Theory of 1979 by Kahneman and Tversky was utilized to examine the construction collapses of Kiambu County and the cognitive biases of underestimating time, resources, and costs in construction projects. The study suggested that strict adherence to building codes, better regulatory standards, risk evaluation, and better resource allocation are needed. Prevention was recommended through cross-sector collaboration of government, developers, contractors, and regulatory bodies alike. Empirical research into resource planning faults and their impact on structural integrity was proposed.

Identification of subsurface archaeology at Mutaredh, United Arab Emirates, using ground penetrating radar

The United Arab Emirates holds great historical importance, as evidenced by many archaeological sites, such as the Jebel Hafit Tombs and the Hili Archeological Park in Al Ain. At the western edge of Mutaredh Oasis, a major new archaeological site was discovered in 2023 during a construction project. Several important archeological features have been documented, including an earthen mosque and boundary walls, Iron Age irrigation systems, and a circular stone tomb dating to the Bronze Age. However, the eastern edge of the Mutaredh site has remained unexplored to date. Ground Penetrating Radar (GPR) has been proven to be a successful method in mapping archaeological remains. Accordingly, a high-resolution GPR survey was carried out to identify the continuity of the unearthed archeological elements and delineate new unexplored features. A comprehensive 3D model of buried archaeological features was constructed using the acquired high-resolution GPR data in the eastern part of the Mutaredh site. Several selected anomalies have been observed, similar to the uncovered features in the western part of the Mutaredh site and structures documented in other nearby archaeological sites. The geometry and extension of these anomalies have enabled the possible identification of a further two Bronze Age circular tombs, as well as the delineation of a system of water channels (falaj), and irrigation networks with tree pits from the Iron Age. Moreover, walls probably belonging to the Late Islamic Age are identified. These findings suggest that Mutaredh has been a site of intensive human activity from the Bronze Age through to the Late Islamic period. Given the density of identified anomalies, further significant features are anticipated to lie buried in the immediate surrounding areas, promising continued insights into the area’s rich archaeological heritage. The findings of this study may guide archaeologists to specific locations and assist in selecting the most appropriate excavation techniques for the verification stage.

The Project Performance Evaluation of PLBN Project Using Earned Value Management Method

Process of monitoring and controlling projects requires data evaluation activities in the order to findout whether the project is in accordance with the plan to avoid an incompatibility between theplanning and the actual time. The failure of construction project almost reached the figure of 20% -40% which occurred in the project monitoring and controlling process. The purpose of this researchis analysis project performance with earned value management method at PLBN Project. Thisresearch was carried out by several stages: data collection, data processing and analysis. From theresults of the performance index analysis show that the project’s performance on the constructionproject is still not good. At week 16 the CPI and SPI values are 0.94 and 0.85. Both values can beinterpreted that the costs incurred are greater than planning and the implementation time is longerthan planning. The result of EAC is Rp. 2.423.695.294 with an estimated completion time is 21weeks which indicates that there is an additional 3 weeks of completion.