Construction safety management in the data-rich era: A hybrid review based upon three perspectives of nature of dataset, machine learning approach, and research …

Z Zhou, L Wei, J Yuan, J Cui, Z Zhang, W Zhuo… - Advanced Engineering …, 2023 - Elsevier
Although substantial progress in safety management performance has been made in the
construction industry, continuing fatalities and injuries at workplaces hinder sustainable …

Understanding disputes in modular construction projects: Key common causes and their associations

M Abdul Nabi, IH El-adaway - Journal of Construction Engineering …, 2022 - ascelibrary.org
Modularization is a well-known approach that can potentially mitigate many of the current
construction industry's challenges including, for example, poor productivity, shortages in …

Data-driven analysis of construction bidding stage–related causes of disputes

MO Ahmed, IH El-adaway - Journal of Management in Engineering, 2023 - ascelibrary.org
Construction bidding is a complex process that involves several potential risks and
uncertainties for all the stakeholders involved. Such complexities, risks, and uncertainties, if …

Identifying design-build decision-making factors and providing future research guidelines: Social network and association rule analysis

R Khalef, IH El-adaway - Journal of Construction Engineering and …, 2023 - ascelibrary.org
There is a dire need to rebuild existing infrastructure with strategic and efficient methods.
Design-build (DB) becomes a potential solution that provides fast-tracked delivery as a more …

Predicting the price of crude oil and its fluctuations using computational econometrics: deep learning, LSTM, and convolutional neural networks

RH Assaad, S Fayek - Econometric Research in Finance, 2021 - erfin.org
There has been a renewed interest in accurately forecasting the price of crude oil and its
fluctuations. That said, this paper aims to study whether the price of crude oil in the United …

Determining critical cause combination of fatality accidents on construction sites with machine learning techniques

Q Shuang, Z Zhang - Buildings, 2023 - mdpi.com
The construction industry is fraught with danger. The investigation of the causes of
occupational accidents receives considerable attention. The purpose of this research is to …

Uncovering Critical Causes of Highway Work Zone Accidents Using Unsupervised Machine Learning and Social Network Analysis

Q Do, T Le, C Le - Journal of Construction Engineering and …, 2024 - ascelibrary.org
Highway work zones are essential for the preservation and improvement of the national road
system. Nevertheless, these areas are reported to be among the most hazardous …

Graph-based intelligent accident hazard ontology using natural language processing for tracking, prediction, and learning

E Hong, SY Lee, H Kim, JE Park, MB Seo… - Automation in …, 2024 - Elsevier
This paper addresses the challenge of dispersed accident-related information on
construction sites, which hinders consensus among employers, workers, supervisors, and …

Identifying the Opportunities and Challenges of Project Bundling: Modeling and Discovering Key Patterns Using Unsupervised Machine Learning

G Assaf, RH Assaad, F Karaa - Journal of Infrastructure Systems, 2024 - ascelibrary.org
Project bundling is a strategy that combines several infrastructure projects into a single
contract to improve the overall performance of projects. While previous research efforts have …

Determining Critical Cascading Effects of Flooding Events on Transportation Infrastructure Using Data Mining Algorithms

RH Assaad, M Mohammadi, G Assaf - Journal of Infrastructure …, 2024 - ascelibrary.org
Transportation infrastructures and operations can be severely impacted during flood events,
leading to significant disruptions to the flow of goods and services. Although numerous …