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Influence of Demand-Quality Interrelationships on Optimal Policies for Stage Construction of Transportation Facilities

Author

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  • J. Enrique Fernandez

    (Universidad Catolica de Chile, Santiago, Chile)

  • Terry L. Friesz

    (University of Pennsylvania, Philadelphia, Pennsylvania)

Abstract

The time staging of investment decisions for transportation facilities has generally been analyzed using models which assume a complete independence between transportation level of service and demand for the use of the facility considered. Through the use of a dynamic optimal control model, we analyze the implications of explicitly considering the interrelationship between level of service and demand on the time staging of optimal investment decisions. This analysis leads to a more general time staging decision rule than those previously proposed in the literature; an economic interpretation of that decision rule is given. Second order conditions are developed for various cases of practical significance. Finally, a numerical example is introduced to illustrate the dramatic effect that demand-quality interrelationships can have on the optimal time staging policy.

Suggested Citation

  • J. Enrique Fernandez & Terry L. Friesz, 1981. "Influence of Demand-Quality Interrelationships on Optimal Policies for Stage Construction of Transportation Facilities," Transportation Science, INFORMS, vol. 15(1), pages 16-31, February.
    • Handle: RePEc:inm:ortrsc:v:15:y:1981:i:1:p:16-31
    DOI: 10.1287/trsc.15.1.16
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    Cited by:

    1. Sathaye, Nakul & Madanat, Samer, 2012. "A bottom-up optimal pavement resurfacing solution approach for large-scale networks," Transportation Research Part B: Methodological, Elsevier, vol. 46(4), pages 520-528.
    2. Ouyang, Yanfeng & Madanat, Samer, 2006. "An analytical solution for the finite-horizon pavement resurfacing planning problem," Transportation Research Part B: Methodological, Elsevier, vol. 40(9), pages 767-778, November.
    3. Li, Yuwei & Madanat, Samer, 2002. "A steady-state solution for the optimal pavement resurfacing problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(6), pages 525-535, July.
    4. Sathaye, Nakul & Madanat, Samer, 2011. "A bottom-up solution for the multi-facility optimal pavement resurfacing problem," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 1004-1017, August.
    5. Gu, Weihua & Ouyang, Yanfeng & Madanat, Samer, 2012. "Joint optimization of pavement maintenance and resurfacing planning," Transportation Research Part B: Methodological, Elsevier, vol. 46(4), pages 511-519.
    6. Meng, Qiang & Lu, Zhaoyang, 2017. "Quantitative analyses of highway franchising under build-operate-transfer scheme: Critical review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 105-123.
    7. Zhang, Le & Fu, Liangliang & Gu, Weihua & Ouyang, Yanfeng & Hu, Yaohua, 2017. "A general iterative approach for the system-level joint optimization of pavement maintenance, rehabilitation, and reconstruction planning," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 378-400.
    8. Lee, Jinwoo & Madanat, Samer, 2014. "Joint optimization of pavement design, resurfacing and maintenance strategies with history-dependent deterioration models," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 141-153.
    9. Lee, Jinwoo & Madanat, Samer, 2015. "A joint bottom-up solution methodology for system-level pavement rehabilitation and reconstruction," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 106-122.
    10. Ouyang, Yanfeng & Madanat, Samer, 2004. "Optimal scheduling of rehabilitation activities for multiple pavement facilities: exact and approximate solutions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(5), pages 347-365, June.

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