Abstract
The problem of productivity analysis and heterogeneous operating conditions in the transit industry is addressed. A new method, sequential data envelopment analysis (DEA), is presented. This method accounts for the operating conditions of transit agencies by using a two-step procedure involving DEA and statistical analyses. Sequential DEA was applied to 14 rail transit systems in the United States for the years 1984-1997 to determine productivity levels. The output analyzed was passenger miles, and the three operating conditions selected for inclusion in this nonparametric analysis were population density, transit share of the journey to work trips, and station availability. The results of the sequential DEA productivity analysis indicate that the rail transit industry, on average, operates at a technical efficiency of 76% in using its fixed input. This result is 8% higher than the efficiency levels estimated by conventional DEA. In addition, the referent agencies and optimal output levels for each agency were identified.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Transportation Research Record: Journal of the Transportation Research Board
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
