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

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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

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