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 …

This study develops a probabilistic loss estimation methodology that explicitly accounts and
propagates many sources of uncertainty with the objective of providing quantitative …

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 …

Uncertainty of cost items is an important aspect of complex projects. Cost uncertainty
analysis aims to help decision makers to understand and model different factors affecting …

In order for the construction industry to improve its poor safety performance it needs to learn
from its safety mistakes and put the lessons learned to good use. Incident investigation …

Inaccurate early project cost estimates can eliminate investment benefits. This study focuses
on assisting estimators who are attempting to enhance the accuracy and reliability of …

In this paper, we present a general method to incorporate correlations between cost
elements in the process of cost estimation. The proposed method first checks the feasibility …

Determining an optimum bid value maximizes the probability of winning a construction
project while realizing proper profit. Thus, this issue has been one of the important research …

Developing a reliable parametric cost model at the conceptual stage of the project is crucial
for projects managers and decision makers. Several methodologies exist to develop a …

High-dimensional dependence modeling remains a crucial challenge in quantitative project
cost and time risk analysis. Building a complete and mathematically consistent correlation …