Analysis of construction cost prediction studies – global perspective

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dc.contributor.authorVelumani, P.
dc.contributor.authorNampoothiri, N. V. N.
dc.contributor.statusnemhu_HU
dc.date.accessioned2021-04-07T13:08:51Z
dc.date.available2021-04-07T13:08:51Z
dc.date.issued2019-12-01
dc.description.abstractIt is well known that the civil engineering constructions are subjected to cost risk and time overruns. The uncertainties of the cost of construction many times result in disputes among stakeholders. The recent cost fluctuation in sand price in Tamil Nadu is a good example of time and cost overruns. There are too many models developed to predict the cost of construction by using different parameters and tools. The objectives of this research are to analyse the importance of research in this field, the countries focusing on this issue, level of implementation by the practicing engineers, the tools often or successfully used, the difficulties in predicting the cost and the accuracy of prediction and bringing out a useful conclusion to provide the direction for future research. In this research, a sample of 324 research papers out of more than 2000 papers listed in Scopus database between the years 1990 and 2015 were considered and analyzed on five factors. The five factors are 1) authors affiliation – academics, industry or both; 2) country; 3) tools used – ANN, regression, time-series models, etc.; 4) complexity involved or ease of use; 5) accuracy of results. The results show interesting information.hu_HU
dc.identifier.doi10.1556/1848.2019.0032hu_HU
dc.identifier.issn2062-0810
dc.identifier.issue3hu_HU
dc.identifier.jtitleInternational Review of Applied Sciences and Engineering
dc.identifier.urihttp://hdl.handle.net/2437/305321
dc.identifier.urlhttps://akjournals.com/view/journals/1848/10/3/article-p275.xmlhu_HU
dc.identifier.volume10hu_HU
dc.language.isoenhu_HU
dc.publisherAkadémiai Kiadóhu_HU
dc.subjectconstruction costhu_HU
dc.subjectreviewhu_HU
dc.subjectpublicationshu_HU
dc.subjectresearchhu_HU
dc.subjectConstruction Cost Prediction (CCP)hu_HU
dc.subjectScopushu_HU
dc.titleAnalysis of construction cost prediction studies – global perspectivehu_HU
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International Review of Applied Sciences and Engineering