Construction analytics forecasting and investment valuation

by Mohsen Shahandashti (Author), Bahram Abediniangerabi (Author), Ehsan Zahed (Author), Sooin Kim (Author)

Construction analytics forecasting and investment valuation covers R program coding for the implementation of two essential data analytics for practical construction problems.

The first part of Construction analytics forecasting and investment valuation explains time series basics, models, and forecasting approaches in the context of the construction industry, accompanied by practical examples in construction.

The second part describes the concept of investment valuation for construction projects and provides both deterministic and probabilistic techniques to conduct investment valuation on construction projects.

R code scripts are provided in this book for solving practical problems in the construction industry.

Construction analytics forecasting and investment valuation is also equipped with an R Package entitled “cdar” to provide the necessary functions for performing investment valuation.

The book maximizes students’ understanding of the necessary theoretical background of data analytics, and explains the implementation of data analytics techniques to solve the actual problems in the construction industry.

The book:

Illustrates theoretical explanations of construction analytics, hands-on practices, and R codes for analytics techniques;
Enables readers to investigate the problems in the construction industry such as cost overruns and investment timing;
Reinforces concepts presented with problems and solutions, datasets, and programming codes.