Quantifying Technical Efficiency of Paratransit Systems by Data Envelopment Analysis Method
This research evaluates efficiency levels of individual paratransit systems in Canada with the specific objective of identifying the most efficient agencies and the sources of their efficiency. Through identification of the most efficient systems along with the influencing factors, new service policies and management and operational strategies might be developed for improved resource utilization and quality of services. The research applies the data envelopment analysis methodology, which is a mathematical programming technique for determining the efficiency of individual systems as compared with their peers in multiple performance measures. Annual operating data from 2001 to 2003 as reported by the Canadian Urban Transit Association are used in this analysis. A bootstrap regression analysis is performed to identify the possible relationship between the efficiency of a paratransit system and measurable operating or managerial factors that affect the performance of paratransit systems. The regression analysis allows for the calculation of confidence intervals and bias for the efficiency scores.
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- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Public/Blurbs/159824.aspx
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Authors:
- Fu, Liping
- Yang, Jingtao
- Casello, Jeffrey M
- Publication Date: 2007
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 115-122
- Monograph Title: Transit: Marketing, Bus, and Paratransit
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2034
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Confidence intervals; Data analysis; Economic efficiency; Paratransit services; Productivity; Regression analysis
- Identifier Terms: Canadian Urban Transit Association
- Uncontrolled Terms: Bootstrap analysis; Quantifying
- Geographic Terms: Canada
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01049314
- Record Type: Publication
- ISBN: 9780309104616
- Files: TRIS, TRB, ATRI
- Created Date: Feb 8 2007 5:00PM