01478597

Component

A Light Rail Transit (LRT) Operation and Maintenance (O & M) cost model was developed using various system attributes namely Route Miles, Train Revenue-Hours, Car Revenue-Miles and Peak LRT Cars. System attributes and cost data of twelve peer LRT facilities from 2004-2008 were collected in this context. Using a regression technique, five sets of Power Factor Models (PFM) representing Total O & M cost, Vehicle operation cost, Vehicle maintenance cost, Non-vehicle cost and Administrative cost were derived. The Total O & M cost computed by PFM as well as by the weighted Fully Allocated Cost (FAC) method were compared. It was observed that Total O & M cost computed using PFM is closer to the actual cost. Distribution of predicted Vehicle operating cost, Vehicle maintenance cost, Non-vehicle cost and Administrative cost closely matched the observed distribution. Also, as a part of this study, a set of computation tools (three Nomo-graphs and utility cost calculator) were established to serve as a quick response instrument to estimate Total O & M cost, Vehicle operation cost and Non-vehicle maintenance cost as well as to perform sensitivity analysis.

This paper was sponsored by TRB committee AP075 Light Rail Transit.

01470560

13-0888

English

15p

2013

Transportation Research Board 92nd Annual Meeting

Digital/other

Figures; References; Tables

Costs; Light rail transit; Maintenance of way; Revenues; Sensitivity analysis; Vehicle maintenance

Cost models; Operation and maintenance

Finance; Maintenance and Preservation; Public Transportation; Railroads; I10: Economics and Administration; I60: Maintenance

Transportation Research Board Annual Meeting 2013 Paper #13-0888

PRP, TRIS, TRB, ATRI

Feb 5 2013 12:17PM