DM,Obare,M M,Muraya2025-02-272025-02-272018-12-05Obare, D. M., & Muraya, M. M. (2019). Analyzing the Risks in Highway Projects Using the Markov Chain Approach. American Journal of Applied Mathematics and Statistics, 7(2), 59-64.https://repository.chuka.ac.ke/handle/123456789/16585obaredominic87@gmail.com,moses.muraya@chuka.ac.keTheissuesassociatedtohighwayprojectsusuallyaffectaspectslikenatureoftheproject,costandtime. Riskeventsthatarenotusualalwaysgiverisetopositiveornegativefeedbackandnormallycausevariationsfrom project designs especially inclined to risk construction projects. However, more investigations have been done on riskmanagementassociatedtohighwayprojects,thereislimitedliteraturemoresototheriskoftheproject.These projectscanbeoverseenundersomedubiousconditionbyapplyingtheriskmanagementtechnique.Theaimofthis research was to demonstrate pertinence of the Markov Chain approaches in diminishing the risks of the highway projectsbyutilizationofdatafromtheprojects.OtherCommonlyutilizedproceduresdon'tinvestigatepotentialrisks successfully and subsequently the utilization of Markov chains. This project has made utilization of the Markov chainproceduretoevaluatetheshortandlong-termpotentialrisks.Thisresearchprojectutilizedriskdataacquired fromexpertsthroughquestionnaires.ThedatawasthenanalyzedutilizingtheOctavesoftware.enhigh way projectsMarkov chainriskoctave softwareArticle