Risk Modeling in Highway Construction Projects


Authors : Reshma.p, Sreechithra.p.

Volume/Issue : Volume 3 - 2018, Issue 4 - April

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/JBpMDa

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

Highway construction projects carry some substantial risks. The main aim of this project is to identify the most important risk factors affecting highway construction project in Manjeri (MalappuramKerala)SH71 & to decrease the probability of those risks. The research method starts with extensive literature review to provide a prime risk factors list which was also to reach final risk factor list which contains all risks that may be faced during highway construction. Subsequently, a set of 10 risk groups consisting of 34 risks was selected and a questionnaire survey was conducted. A questionnaire is then developed to the opinion of construction professionals (Engineers, Contractors, Stake holders, Overseers and Supervisers) as to the probability and impact of those risks. Twenty surveys were completed and used in the risk analysis. The priority helps identify the most significant risks. The relative importance index (RII) for the risk priority is calculated based on all responses for each risk. The most significant risks include Existing traffic, unexpected ground utilities, delays in payment, inadequate claim administration, quality and integrity of design, delays in approvals, and delays in expropriations. Existing traffic is the most important risk in Manjeri highway construction. . The statistical analysis for the data is done using Statistical package for social science. To create a suitable Regression Model.

Keywords : Risk analysis,Relative important index, Regression model.

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