Ali Hassan Ali

Tower crane operations (TCOs) in modular integrated construction (MiC) face significant safety risks due to limited operator situational awareness when handling heavy, bulky modules in congested sites. Existing approaches, including fixed-site sensors and crane-mounted vision systems, do not provide practical, operator-perspective three-dimensional (3D) maps in real time. This study addresses this gap by proposing and experimentally validating a crane-mounted multisensor 3D spatial mapping framework that integrates LiDAR and an red, green, blue (RGB) camera to generate dense, colorized, real-time 3D maps from the operator’s viewpoint. The system leverages Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping (R3LIVE), a simultaneous localization and mapping (SLAM)-based framework known for real-time applications, to dynamically reconstruct high-fidelity 3D spatial maps during crane movement. Laboratory experiments were conducted in a controlled indoor environment using a scaled tower crane model under both ideal and low-visibility conditions. System performance was evaluated using decision-relevant metrics, including map completeness of the region of interest and object localization accuracy. Results demonstrated 100% map completeness within the region of interest under both ideal and low-visibility conditions. Additionally, the system maintained subcentimeter localization accuracy under ideal conditions [mean absolute error ( MAE ) = 0.0096    m and root-mean square error ( RMSE ) = 0.0102    m ] with robust centimeter-level precision under challenging lighting ( MAE = 0.015    m and RMSE = 0.019    m ). These findings contribute to the body of knowledge by proposing and validating a crane-mounted multisensor fusion framework that overcomes the limitations of static perspective in fixed-site systems and the lighting vulnerabilities of vision-only approaches. The proposed framework advances existing crane monitoring and mapping techniques by enabling continuous, operator-centric, real-time 3D spatial reconstruction in dynamic construction environments. However, translating these technical capabilities into full-scale operational environments requires further validation in real-world conditions.

The transition to Industry 5.0 represents a significant transformation in the global industrial landscape, combining advanced technology with human creativity to promote sustainable development. This study investigates the potential of Industry 5.0 to advance the Sustainable Development Goals (SDGs) within sustainable infrastructure projects, addressing a critical gap in existing research concerning its practical applications and outcomes. Utilizing Partial Least Squares Structural Equation Modeling (PLS‐SEM), the study analyzes data collected from 150 construction professionals in Egypt, focusing on key enablers such as digital transformation skills, eco‐innovation, and proactive governmental support. The results demonstrate that these Industry 5.0 enablers significantly enhance environmental resilience, social inclusivity, and economic efficiency in infrastructure projects. The research offers a novel theoretical framework and empirical evidence on the constructive role of Industry 5.0 in achieving sustainable infrastructure outcomes, providing valuable insights for policymakers, industry stakeholders, and academic researchers. These findings highlight the potential of Industry 5.0 to drive innovation that aligns with the SDGs and fosters sustainable, human‐centric development.

This study aims to explore the tower crane safety factors (TCSFs) that influence tower crane safe operations (TCSOs) in modular integrated construction (MiC). It evaluates how the adoption of these factors contributes to achieving TCSOs and promoting sustainable practices (SPs) within MiC. To achieve this aim, the study employed a systematic search to ensure a comprehensive collection of variables. Additionally, it conducted a questionnaire survey involving professionals and utilized a brainstorming technique to categorize the different variables. Finally, partial least squares structural equation modeling (PLS-SEM) was employed to test the relationship between TCSOs and SPs. The results of measurement models indicated strong convergent and discriminant validity, with each observed variable correlating well with its latent variable. Moreover, a significant positive correlation between TCSOs and SPs was evidenced by a path coefficient (β = 0.755) and a p-value of <0.05. Lastly, the structural model revealed that the independent variables strongly influence the dependent variable (i.e. SPs) by 57%, underscoring safety's pivotal role in advancing sustainability within MiC projects. These findings provide empirical evidence that improving tower crane safety can directly enhance sustainable practices, offering a dual benefit of increased safety and sustainability for the construction sector. This study makes a unique and previously undiscovered contribution to the field by identifying the TCSFs in MiC and employing a novel approach by utilizing PLS-SEM to create a unique mathematical model. It offers valuable insights into the relationship between TCSFs, TCSOs and SPs, thus contributing to methodological advancements within Safety Science and providing a foundation for future research and practical implementation in the construction industry.

Purpose: This study focused on exploring the performance factors (PFs) that impact Infrastructure Sanitation Projects (ISSPs) in the construction sector. The aim was twofold: firstly, to identify these crucial PFs and secondly, to develop a robust performance model capable of effectively measuring and assessing the intricate interdependencies and correlations within ISSPs. By achieving these objectives, the study aimed to provide valuable insights into and tools for enhancing the efficiency and effectiveness of sanitation projects in the construction industry. Design/methodology/approach: To achieve the study's aim, the methodology for identifying the PFs for ISSPs involved several steps: extensive literature review, interviews with Egyptian industry experts, a questionnaire survey targeting industry practitioners and an analysis using the Relative Importance Index (RII), Pareto principle and analytic network process (ANP). The RII ranked factor importance, and Pareto identified the top 20% for ANP, which determined connections and interdependencies among these factors. Findings: The literature review identified 36 PFs, and an additional 13 were uncovered during interviews. The highest-ranked PF is PF5, while PF19 is the lowest-ranked. Pareto principle selected 11 PFs, representing the top 20% of factors. The ANP model produced an application for measuring ISSP effectiveness, validated through two case studies. Application results were 92.25% and 91.48%, compared to actual results of 95.77% and 97.37%, indicating its effectiveness and accuracy, respectively. Originality/value: This study addresses a significant knowledge gap by identifying the critical PFs that influence ISSPs within the construction industry. Subsequently, it constructs a novel performance model, resulting in the development of a practical computer application aimed at measuring and evaluating the performance of these projects.

When building homes, sustainability principles should be followed throughout the process to achieve maximum advantages. Building information modeling (BIM) activities can aid in achieving sustainable goals. Third-world countries’ building industry implements informal approaches to information dissemination through email newsletters and websites. This research seeks to provide a model for the application of BIM and its relationship with overall sustainable success (OSS) in building projects. BIM activities were identified from the literature, and a survey form was distributed to 180 professionals in the Egyptian construction industry. Partial Least Squares-Structural Equation Modeling (PLS-SEM) was used to establish the structure of BIM activities and assess their correlation with project success, revealing BIM accounts for 30% of sustainability. The study’s findings inform decision-making to improve project sustainability and reduce costs by introducing BIM to developing countries’ construction industries.