This study reviews the common practices and procedures conducted to identify the cost
drivers that the past literature has classified into two main categories: qualitative and …

Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …

Bridge infrastructure asset management system is a prevailing approach toward having an
effective and efficient procedure for monitoring bridges through their different development …

Abstract Decentralizing the Artificial Intelligence (AI) applications is deemed the next wave of
Blockchain Technology (BT) in the construction industry. Most of previous research studies …

Developing a reliable parametric cost model at the conceptual stage of the project is crucial
for project managers and decision makers. Existing methods, such as probabilistic and …

Purpose The purpose of this study to apply stacking ensemble machine learning algorithm
for predicting the cost of highway construction projects. Design/methodology/approach The …

Considering the risk of exposure of diverse structures to detonations and explosions, the
need for understanding the structural behavior under such events and enhancing blast …

The highway construction cost index (HCCI) is a composite indicator that reflects the price
trend of the highway construction industry. Most available indexes exhibit significant …

We argue that financial risk managers should focus more strongly on developing forward-
looking early warning indicator systems for the North American real estate market. Based on …

Cost overruns, schedule delays, and quality issues negatively impact the majority of
transportation infrastructure projects, and inspectors and project engineers are in short …