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Preserving an aging transit fleet: An optimal resource allocation perspective based on service life and constrained budget

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  • Mishra, Sabyasachee
  • Sharma, Sushant
  • Khasnabis, Snehamay
  • Mathew, Tom V.

Abstract

Local, county and state level transit agencies with large fleets of buses and limited budgets seek a robust fund allocation mechanism to maintain service standards. However, equitable and optimal fund allocation for purchasing, operating and maintaining a transit fleet is a complex process. In this study, we develop an optimization model for allocation of funds among different fleet improvement programs within budget constraints over the planning period. This is achieved by minimizing the net present cost (NPC) of the investment within the constraint of a minimum level of fleet quality expressed as a surrogate of the remaining life of the fleet. Integer programming is used to solve the formulated optimization problem using branch and bound algorithm. The model formulation and application are demonstrated with a real world case study of transit agencies. It is observed that minimizing NPC provides a realistic way to allocate resources between different program options among different transit agencies while maintaining a desired quality level. The proposed model is generalized and can be used as a resource allocation tool for transit fleet management by any transit agency.

Suggested Citation

  • Mishra, Sabyasachee & Sharma, Sushant & Khasnabis, Snehamay & Mathew, Tom V., 2013. "Preserving an aging transit fleet: An optimal resource allocation perspective based on service life and constrained budget," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 111-123.
  • Handle: RePEc:eee:transa:v:47:y:2013:i:c:p:111-123
    DOI: 10.1016/j.tra.2012.10.029
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    Cited by:

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    2. J. Riechi & V. Mácian & B. Tormos & C. Avila, 2017. "Optimal fleet replacement: A case study on a Spanish urban transport fleet," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(8), pages 886-894, August.
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