As a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been
increasingly applied in the field of construction management (CM) during the last few …

This paper presents a comprehensive literature review and analysis of parametric and
generative mechanisms for infrastructure projects. The selection criteria identified 41 related …

Material loading is one of the most critical operations in earthmoving projects. A number of
different equipment is available for loading operations. Project managers should consider …

This study proposes a new bidding strategy to support decision-making that is based on a
combined framework of the Fuzzy Analytical Hierarchy Process (FAHP) and regression …

Bridges are essential components of transportation systems. The bidding process is the
main determinant of whether a contractor is commissioned to complete a construction …

Purpose Accurate and timely cost prediction is critical to the success of construction projects
which is still facing challenges especially at the early stage. In the context of rapid …

Connectivity is a significant problem in large-scale transit networks because the number of
transfers required to conduct a trip is considered a discomfort by transit users. This paper …

Artificial Neural Networks has gained considerable application in construction engineering
and management in recent time. Over 100 resources published in refereed journals and …

Economy and nonproductive sectors of each country could not function without a transport
system (TS). Having analysed research works on the interaction of separate TS elements, it …

Purpose Cost overrun in infrastructure projects is a constant concern, with a need for a
proper solution. The current estimation practice needs improvement to reduce cost overruns …