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BSeT: A Heavy-Duty Transit Bus Size Decision Support Tool

Anthony J. Ferroro, Sisinnio Concas, Stephen L. Reich and Janet L. Davis

No 207729, 50th Annual Transportation Research Forum, Portland, Oregon, March 16-18, 2009 from Transportation Research Forum

Abstract: Transit managers continue to strive for greater operating efficiency while maintaining an appropriate balance between cost effectiveness and customer service. Over the past decade, the use of heavy-duty buses smaller than the traditional forty-foot variety has expanded for several reasons. In some cases, smaller buses are perceived to cost less to acquire, maintain, and operate. Smaller buses may also be required to accommodate route maneuverability constraints, residential and commercial growth patterns, and off-peak empty bus syndrome. However, the availability of prior studies that considered the effectiveness of small buses has been limited. The objective of this research project was to develop a decision support tool to assist transit agencies with evaluating heavy-duty bus fleets and making vehicle acquisition and deployment choices. The product of this effort, the Bus Size Evaluation Tool (BSeT), is a user-friendly and easily-modifiable computer application designed within Microsoft Excel. Building off prior studies and earlier investigations that laid the groundwork for this research, BSeT was designed around a life-cycle cost calculator and a template of weighted factors to help transit agencies select buses that are best suited to satisfy their service obligations. The following research paper describes the research effort, details the process of developing the decision support tool, and offers guidelines for utilizing BSeT. It is important to note that the outcome of this project is not intended as a fleet optimization tool.

Keywords: Research and Development/Tech Change/Emerging Technologies; Resource /Energy Economics and Policy (search for similar items in EconPapers)
Date: 2009-03
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Persistent link: https://EconPapers.repec.org/RePEc:ags:ndtr09:207729

DOI: 10.22004/ag.econ.207729

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