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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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    1. Haggag, A. A., 1981. "A variant of the generalized reduced gradient algorithm for non-linear programming and its applications," European Journal of Operational Research, Elsevier, vol. 7(2), pages 161-168, June.
    2. Zhou, Xuesong & Zhong, Ming, 2007. "Single-track train timetabling with guaranteed optimality: Branch-and-bound algorithms with enhanced lower bounds," Transportation Research Part B: Methodological, Elsevier, vol. 41(3), pages 320-341, March.
    3. Mathew, Tom V. & Khasnabis, Snehamay & Mishra, Sabyasachee, 2010. "Optimal resource allocation among transit agencies for fleet management," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(6), pages 418-432, July.
    4. Chow, Joseph Y.J. & Regan, Amelia C., 2011. "Network-based real option models," Transportation Research Part B: Methodological, Elsevier, vol. 45(4), pages 682-695, May.
    5. Bokhorst, Jos A. C. & Slomp, Jannes & Suresh, Nallan C., 2002. "An integrated model for part-operation allocation and investments in CNC technology," International Journal of Production Economics, Elsevier, vol. 75(3), pages 267-285, February.
    6. Sheu, Jiuh-Biing, 2006. "A novel dynamic resource allocation model for demand-responsive city logistics distribution operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(6), pages 445-472, November.
    7. Tsiakis, Panagiotis & Papageorgiou, Lazaros G., 2008. "Optimal production allocation and distribution supply chain networks," International Journal of Production Economics, Elsevier, vol. 111(2), pages 468-483, February.
    8. Pillai, Rekha S. & Rathi*, Ajay K. & L. Cohen, Stephen, 1998. "A restricted branch-and-bound approach for generating maximum bandwidth signal timing plans for traffic networks," Transportation Research Part B: Methodological, Elsevier, vol. 32(8), pages 517-529, November.
    9. Basso, Antonella & Peccati, Lorenzo A., 2001. "Optimal resource allocation with minimum activation levels and fixed costs," European Journal of Operational Research, Elsevier, vol. 131(3), pages 536-549, June.
    10. Ross, Anthony D., 2000. "Performance-based strategic resource allocation in supply networks," International Journal of Production Economics, Elsevier, vol. 63(3), pages 255-266, January.
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    Cited by:

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    5. Yu, Ming-Miin & Chen, Li-Hsueh, 2016. "Centralized resource allocation with emission resistance in a two-stage production system: Evidence from a Taiwan’s container shipping company," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 650-671.

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