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Highway Alignment Optimization: An Integrated BIM and GIS Approach
This study proposes an approach for managing highway alignment in the context of a larger landscape that integrates building information modelling (BIM) and geographic information system (GIS) capabilities and uses genetic algorithms (GAs) for optimizing highway alignments.

An Integrated BIM-GIS Method for Planning of Water Distribution System
The proposed WDS planning method can help project participants better understand the WDS project and its surroundings and identify any errors in the planning process, thus improving sustainable development.

Exploratory Factors Influencing Building Development Costs in New Zealand
Identification of costs drivers and their influence level on building development costs play a key role in the development of construction models and improve the efficiency and effectiveness of any...

Development of Intelligent Prefabs Using IoT Technology to Improve the Performance of Prefabricated Construction Projects
An innovative method that incorporates Radio Frequency Identification and Long Range technologies, sensor networks, the BIM model and cloud computing to automatically collect, analyze and display real-time information about PC components can improve PC project performance and help industry professionals by providing sufficient required information.

BIM Adoption in the Cambodian Construction Industry: Key Drivers and Barriers
Investigating key drivers for, and barriers to the adoption of BIM in the Cambodian construction industry found that the most influential comprised the technology’s ability to remarkably enhance project visualization and schedule performance and awareness that the technology is redefining how project information is created and shared among stakeholders and therefore the future of the industry that cannot be ignored.

Optimization of the Supplier Selection Process in Prefabrication Using BIM
The proposed method facilitates the supplier selection process by providing sufficient information in an effective way and by improving the understanding of the project requirements by helping to select a suitable material supplier.

Developing a Knowledge Graph for Intelligent Structural Design Course
A bottom-up approach to constructing a knowledge graph specifically designed for the course is introduced, and participants who used the Course Knowledge Graph (CKG) attained higher scores than those instructed through conventional teaching methods.

Bayesian Structural Equation Modeling for Examining the Relationship between Multidimensional Factors and Construction Project Cost
The study aims to categorize the influencing factors into three groups, namely construction project system, economic-market climate, and external environment, and provides the foundation of Bayesian SEM estimation and inference by illustrating this method in a project cost application.

Intelligent Condition Monitoring of High-Formwork Support Systems: A Hybrid FEM-Deep Learning Approach with Large Language Model Integration
An integrated framework for monitoring HFSS that combines numerical simulation, deep learning, and a Retrieval-Augmented Generation (RAG) system is presented, demonstrating that the RAG model could generate accurate and reasonable SHM reports for HFSS.
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