Machine Learning-Based Cost Predictive Model for Better Operating Expenditure Estimations of U.S. Light Rail Transit Projects
Inaccurate forecasts of operating expenditures during the planning phase for new Light Rail Transit (LRT) projects in the United States underestimated future costs by up to 45% (Pickrell, 1989). When operating expenditures exceeded projected levels, local transit agencies often reduced public transi...
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| Language: | ENG |
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The George Washington University
2021
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| Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=28157527 |