Abstract
A set of LR (light rail) transit O&M (operation and maintenance) cost models were derived as functions of system attributes, namely Directional-Route-Miles, Train-Revenue-Hours, Train-Revenue-Miles, Peak Passenger Cars and Annual Passenger Trips. These models were developed based on the data of 12 LR facilities in the United States from 2004~2008 reported on the National Transit Database. The models were then validated with newer data of the same systems from 2009~2011. Instead of using the traditional R-squared, NSE (Nash-Sutcliffe efficiency) was employed for model selection. Furthermore, MEF (model efficiency factor) indicators were used to validate model's performance. When compared to the actual data, the prediction ability of these new models was superior to those of previously developed PFM (power factor models).
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