Cost and Material Quantities Prediction Models for the Construction of Underground Metro Stations

Cost and Material Quantities Prediction Models for the Construction of Underground Metro Stations

This paper addresses the gap in the scientific literature regarding construction cost estimates for the construction of underground metro stations. It provides preliminary cost estimation models using linear regression for use by the Greek underground metro public transport authority for planning fu...

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Bibliographic Details
Main Authors: Fani Antoniou, Georgios Aretoulis, Dimitrios Giannoulakis, Dimitrios Konstantinidis
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Buildings
Subjects:
metro
underground construction
construction costs
material quantities estimation
linear regression
artificial neural networks
Online Access:https://www.mdpi.com/2075-5309/13/2/382

Internet

https://www.mdpi.com/2075-5309/13/2/382

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