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Automated Identification of Vagueness in the <i>FIDIC Silver Book</i> Conditions of Contract
Publisher: ASCE
Abstract: Contract conditions are crucial as they outline an agreement between different parties. The semantic terms in contract conditions need to be precisely designated. Where these conditions contain vague meanings, the ...
Comprehensive Root Cause Analysis of Construction Defects Using Semisupervised Graph Representation Learning
Publisher: ASCE
Abstract: Quality is a substantial pillar of construction success, as its failure poses a significant threat to the construction budget and schedule. Effective root cause (RC) analysis allows for the early identification of issues ...
Comparison of Case-Based Reasoning and Artificial Neural Networks
Publisher: American Society of Civil Engineers
Abstract: The outcome of construction litigation depends on a large number of factors. To predict the outcome of such litigation is difficult because of the complex interrelationships between these many factors. Two attempts are ...
Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks
Publisher: ASCE
Abstract: Despite many improvements in safety management, the construction industry still has the highest potential for occupational injuries including High Severe (HS) work events, which result in injuries or fatalities, and Low ...
Automating Coordination Efforts for Reviewing Construction Contracts with Multilabel Text Classification
Publisher: ASCE
Abstract: Construction projects involve multiple company departments and disciplines. The departments follow certain rules in implementing a project, also referred to as requirements in a construction contract. Current administration ...
Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning
Publisher: ASCE
Abstract: Nonconformance (NCR) has long been a subject of research interest for its potential to extrapolate information leading to a more productive environment in construction projects. Despite a variety of traditional attempts, ...
Construction Delay Prediction Model Using a Relationship-Aware Multihead Graph Attention Network
Publisher: American Society of Civil Engineers
Abstract: Existing machine learning (ML) delay prediction models cannot process dependencies among the construction progress records. This study investigates graph attention networks (GAT) incorporating multihead attention mechanisms ...
Quality Failures–Based Critical Cost Impact Factors: Logistic Regression Analysis
Publisher: ASCE
Abstract: Due to the various dynamic conditions of construction sites, quality failures have become part and parcel of the industry. Many studies have identified the causal factors of construction site quality failures and their ...
Value Creation in PPP Projects Undertaken in the Turkish Healthcare Industry
Publisher: ASCE
Abstract: Due to the capacity deficits of the healthcare sector, governments faced many difficulties when responding to the burden caused by the COVID-19 pandemic. Private sector involvement in healthcare facilities delivery enabled ...
Multiedge Graph Convolutional Network for House Price Prediction
Publisher: ASCE
Abstract: Accurate house price prediction allows construction investors to make informed decisions about the housing market and understand the growth opportunities for development and the risks and rewards of different construction ...