Towards big data driven construction industry
The construction industry is currently going through an intelligent revolution. The profound
transformation of the Industry 4.0 era is made possible by contemporary technologies such …
transformation of the Industry 4.0 era is made possible by contemporary technologies such …
Assessing effects of economic factors on construction cost estimation using deep neural networks
There are numerous models proposed for construction cost estimation. Most of them are
based on projects' characteristics only while neglecting the external economic factors. This …
based on projects' characteristics only while neglecting the external economic factors. This …
Neural network-based interval forecasting of construction material prices
Accurate prediction of material costs is essential for proper management and budgeting of
construction projects. Material price fluctuation is one of the most important contributors to …
construction projects. Material price fluctuation is one of the most important contributors to …
Digital twins for the designs of systems: a perspective
The design and operation of systems are conventionally viewed as a sequential decision-
making process that is informed by data from physical experiments and simulations …
making process that is informed by data from physical experiments and simulations …
Neural networks model for prediction of construction material prices in Egypt using macroeconomic indicators
Adequate cost estimation at the planning phase is an integral part of a construction project's
success. Many uncertainties disturb the planners' initial estimations and lead to cost …
success. Many uncertainties disturb the planners' initial estimations and lead to cost …
Prediction of unit price bids of resurfacing highway projects through ensemble machine learning
Resurfacing is one of the most common highway projects in Georgia and constitutes a large
portion of the state's highway investment every year. The value of the unit price bid is one of …
portion of the state's highway investment every year. The value of the unit price bid is one of …
Stochastic forecast of construction cost index using a cointegrated vector autoregression model
J Xu, S Moon - Journal of management in engineering, 2013 - ascelibrary.org
The construction cost index (CCI) has been widely used to measure the cost trend in the
construction industry. The index is used as an important input when estimating construction …
construction industry. The index is used as an important input when estimating construction …
Hybrid intelligence approach based on LS-SVM and Differential Evolution for construction cost index estimation: A Taiwan case study
In construction industry, cost escalation is a major cause of project failure. The reason is that
construction prices fluctuate over time and they are influenced by numerous factors. This …
construction prices fluctuate over time and they are influenced by numerous factors. This …
Volatility forecast of construction cost index using general autoregressive conditional heteroskedastic method
A Joukar, I Nahmens - Journal of construction engineering and …, 2016 - ascelibrary.org
Abstract The Engineering News-Record (ENR) publishes the Construction Cost Index (CCI)
monthly, which is a composite index of 20-city average price of construction activities in the …
monthly, which is a composite index of 20-city average price of construction activities in the …
Developing an integrative data intelligence model for construction cost estimation
Construction cost estimation is one of the essential processes in construction management.
Project cost is a complex engineering problem due to various factors affecting the …
Project cost is a complex engineering problem due to various factors affecting the …