Road tunnels construction cost estimation: A structural equation model development and comparison

Petroutsatou, K; Lambropoulos, S

dc.contributor.author	Petroutsatou, K	en
dc.contributor.author	Lambropoulos, S	en
dc.date.accessioned	2014-03-01T11:45:09Z
dc.date.available	2014-03-01T11:45:09Z
dc.date.issued	2010	en
dc.identifier.issn	11092858	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/37254
dc.subject	Cost estimation	en
dc.subject	Multiple regression analysis	en
dc.subject	Neural networks	en
dc.subject	Structural equation model	en
dc.subject	Tunnels	en
dc.title	Road tunnels construction cost estimation: A structural equation model development and comparison	en
heal.type	other	en
heal.identifier.primary	10.1007/s12351-009-0061-7	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s12351-009-0061-7	en
heal.publicationDate	2010	en
heal.abstract	Sound understanding of technical projects performance is very important at the preliminary design phase. A crucial element in the decision-making process for selection of the best alternative solution is reliable, early cost estimates. This becomes particularly significant in road tunnel construction where the construction cost is expressively high and subject to considerable cost overruns due to inherit risks of underground conditions. In this paper a structural equation model (SEM) for estimating the final construction cost of road tunnels is developed. In a comparative analysis of SEM with multiple regression analysis (MRA) and neural networks (NNs), SEM offers better results allowing the user to visually depict the paths of how several variables affect the cost of an underground project. © 2009 Springer-Verlag.	en
heal.journalName	Operational Research	en
dc.identifier.doi	10.1007/s12351-009-0061-7	en
dc.identifier.volume	10	en
dc.identifier.issue	2	en
dc.identifier.spage	163	en
dc.identifier.epage	173	en