Application of probabilistic life cycle cost analysis in pavement management

dc.contributor.authorRoque Pena, Carlymar D'Andrea
dc.contributor.examiningcommitteeIssa, Mohamed H. (Civil Engineering) Shafai, Cyrus (Electrical and Computer Engineering)en_US
dc.contributor.supervisorShalaby, Ahmed (Civil Engineering)en_US
dc.date.accessioned2018-05-31T20:54:23Z
dc.date.available2018-05-31T20:54:23Z
dc.date.issued2018en_US
dc.date.submitted2018-05-17T19:34:03Zen
dc.degree.disciplineCivil Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractTransportation agencies seek to optimize their public budget to finance the construction and maintenance of pavements. Life Cycle Cost Analysis (LCCA) is a decision support tool that allows agencies to contrast and optimize infrastructure design alternatives based on the costs of the asset over its lifetime. In this thesis, statistical distributions were developed to study the variability associated with LCCA inputs based on agency historical data of the Province of Manitoba and the City of Winnipeg. A case study was used to compare the deterministic and the probabilistic computational approaches results. The results demonstrated that a probabilistic LCCA provides reliability levels for the evaluation of the total project cost, which allows for analyzing the risk associated with each alternative and avoiding cost overruns. It is recommended that transportation agencies consider probabilistic LCCA as part of their decision-making process due to the economic benefits and reliability levels that this approach provides.en_US
dc.description.noteOctober 2018en_US
dc.identifier.urihttp://hdl.handle.net/1993/33032
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectLife cycle cost analysisen_US
dc.subjectPavement managementen_US
dc.subjectUncertaintyen_US
dc.subjectRisken_US
dc.subjectReliabilityen_US
dc.titleApplication of probabilistic life cycle cost analysis in pavement managementen_US
dc.typemaster thesisen_US
local.subject.manitobayesen_US
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