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dc.contributor.authorLin, Gang
dc.contributor.supervisorHonglei Xuen_US
dc.contributor.supervisorGuanglu Zhouen_US
dc.contributor.supervisorShaoli Wangen_US

The study introduces a novel framework to enhance public transportation performance in uncertain situations, incorporating multi-aspiration-level goal programming and Monte Carlo simulation to manage uncertainty. The process involves creating a public transport criteria matrix using an analytic hierarchy process and optimizing the network based on weight results. Three Australian case studies are used to validate the proposed methodology.

dc.publisherCurtin Universityen_US
dc.titlePerformance Evaluation of Public Transport Networks and Its Optimal Strategies Under Uncertaintyen_US
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Sciencesen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US
curtin.contributor.orcidLin, Gang [0000-0003-2905-4363]en_US

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