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Construction Analytics Forecasting and Investment Valuation

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...

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Bibliographic Details
Main Authors: Shahandashti, Mohsen, Abediniangerabi, Bahram (Author), Zahed, Ehsan (Author), Kim, Sooin (Author)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2023, 2023
Edition:1st ed. 2023
Subjects:
Building Materials
Valuation
Construction Industry—management
Construction Management
Investment Appraisal
Civil Engineering
Buildings—design And Construction
Building Construction And Design
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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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