Methodology for Project Risk Assessment of Building Construction Projects Using Bayesian Belief Networks

5.00
Hdl Handle:
http://hdl.handle.net/2436/620860
Title:
Methodology for Project Risk Assessment of Building Construction Projects Using Bayesian Belief Networks
Authors:
Odimabo, Onengiyeofori O; Oduoza, Chike; Suresh, Subashini ( 0000-0001-5266-128X )
Abstract:
The study aims to establish a risk assessment methodology to improve the performance of building construction projects especially in developing countries. A survey of randomly selected samples to evaluate risk factors experienced by construction practitioners was conducted based on the likelihood of occurrence and impacts on projects. A response rate of 53% comprising 305 contractors and subcontractors and 38 clients was received. Risk Acceptability Matrix (RAM) was used to rank/prioritise risk factors in order to determine critical risks that could affect building construction projects especially in developing countries. Bayesian Belief Network was then constructed by structural learning and used to appreciate the relationship amongst the risk factors. Results showed that critical risks affecting building construction projects were mainly improper construction methods, poor communication between involved parties, supplies of defective materials, delayed payment in contracts, fluctuation of materials prizes and unsuitable leadership style.
Citation:
Onengiyeofori O. Odimabo, Chike F. Oduoza, Subashini Suresh, Methodology for Project Risk Assessment of Building Construction Projects Using Bayesian Belief Networks, International Journal of Construction Engineering and Management , Vol. 6 No. 6, 2017, pp. 221-234. doi: 10.5923/j.ijcem.20170606.01.
Publisher:
Scientific & Academic Publishing
Journal:
International Journal of Construction Engineering and Management
Issue Date:
Nov-2017
URI:
http://hdl.handle.net/2436/620860
Additional Links:
http://article.sapub.org/10.5923.j.ijcem.20170606.01.html
Type:
Article
Language:
en
ISSN:
2326-1102
Appears in Collections:
Engineering and Technology

Full metadata record

DC FieldValue Language
dc.contributor.authorOdimabo, Onengiyeofori Oen
dc.contributor.authorOduoza, Chikeen
dc.contributor.authorSuresh, Subashinien
dc.date.accessioned2017-11-16T16:20:18Z-
dc.date.available2017-11-16T16:20:18Z-
dc.date.issued2017-11-
dc.identifier.citationOnengiyeofori O. Odimabo, Chike F. Oduoza, Subashini Suresh, Methodology for Project Risk Assessment of Building Construction Projects Using Bayesian Belief Networks, International Journal of Construction Engineering and Management , Vol. 6 No. 6, 2017, pp. 221-234. doi: 10.5923/j.ijcem.20170606.01.en
dc.identifier.issn2326-1102en
dc.identifier.urihttp://hdl.handle.net/2436/620860-
dc.description.abstractThe study aims to establish a risk assessment methodology to improve the performance of building construction projects especially in developing countries. A survey of randomly selected samples to evaluate risk factors experienced by construction practitioners was conducted based on the likelihood of occurrence and impacts on projects. A response rate of 53% comprising 305 contractors and subcontractors and 38 clients was received. Risk Acceptability Matrix (RAM) was used to rank/prioritise risk factors in order to determine critical risks that could affect building construction projects especially in developing countries. Bayesian Belief Network was then constructed by structural learning and used to appreciate the relationship amongst the risk factors. Results showed that critical risks affecting building construction projects were mainly improper construction methods, poor communication between involved parties, supplies of defective materials, delayed payment in contracts, fluctuation of materials prizes and unsuitable leadership style.en
dc.language.isoenen
dc.publisherScientific & Academic Publishingen
dc.relation.urlhttp://article.sapub.org/10.5923.j.ijcem.20170606.01.htmlen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectConstruction Projectsen
dc.subjectProject Risken
dc.subjectBayesian Belief Networken
dc.subjectEmpirical Researchen
dc.titleMethodology for Project Risk Assessment of Building Construction Projects Using Bayesian Belief Networksen
dc.typeArticleen
dc.identifier.journalInternational Journal of Construction Engineering and Managementen
dc.date.accepted2017-08-
rioxxterms.funderInternalen
rioxxterms.identifier.projectUoW161117COen
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttps://creativecommons.org/CC BYen
rioxxterms.licenseref.startdate2017-11-01en
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