Construction analytics : forecasting and investment valuation / Mohsen Shahandashti, Bahram Abediniangerabi, Ehsan Zahed, Sooin Kim.
Shahandashti, Mohsen, author.; Abediniangerabi, Bahram, author.; Zahed, Ehsan, author.; Kim, Sooin, author.
2023
HD9715.A2 .S53 2023
Available Online

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Title Construction analytics : forecasting and investment valuation / Mohsen Shahandashti, Bahram Abediniangerabi, Ehsan Zahed, Sooin Kim.
Author Shahandashti, Mohsen, author.
ISBN 9783031272929 electronic book
3031272927 electronic book
9783031272912 print
3031272919
DOI https://doi.org/10.1007/978-3-031-27292-9
Published Cham : Springer, 2023.
Language English
Description 1 online resource (viii, 186 pages)
Item Number 10.1007/978-3-031-27292-9 doi
Call Number HD9715.A2 .S53 2023
Dewey Decimal Classification 338.4/7624
Summary This text covers R program coding for the implementation of two essential data analytics for practical construction problems. The first part of this book 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. This book 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. 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 3, 2023).
Added Author Abediniangerabi, Bahram, author.
Zahed, Ehsan, author.
Kim, Sooin, author.
Available in Other Form Print version: 9783031272912
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Chapter 1. Introduction to Construction Analytics
Chapter 2. Construction Forecasting using Univariate Time Series Models
Chapter 3. Construction Forecasting Using Time-series Volatility Models
Chapter 4. Construction Forecasting using Multivariate Time Series Models
Chapter 5. Construction Forecasting Using Recurrent Neural Networks
Chapter 6. Investment Valuation of Construction Projects Under Uncertainty
Appendices: Construction time series datasets, including National Highway Construction Cost Index (NHCCI), Federal Highway Construction Spending, Iowa Highway Construction.

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