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Airport pavement management systems: an appraisal of existing methodologies

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  • Gendreau, Michel
  • Soriano, Patrick

Abstract

Airport pavement management systems (APMS) are computer-based decision support systems that can be used by the agencies running airports to determine cost-effective maintenance and rehabilitation strategies to preserve the various pavement structures (runways, taxiways, etc.) which are a critical component of these facilities. In this paper, we describe the main elements of APMS and review existing systems.

Suggested Citation

  • Gendreau, Michel & Soriano, Patrick, 1998. "Airport pavement management systems: an appraisal of existing methodologies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(3), pages 197-214, April.
    • Handle: RePEc:eee:transa:v:32:y:1998:i:3:p:197-214
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    References listed on IDEAS

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    1. Kamal Golabi & Ram B. Kulkarni & George B. Way, 1982. "A Statewide Pavement Management System," Interfaces, INFORMS, vol. 12(6), pages 5-21, December.
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    Cited by:

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    2. Durango-Cohen, Pablo L. & Madanat, Samer M., 2008. "Optimization of inspection and maintenance decisions for infrastructure facilities under performance model uncertainty: A quasi-Bayes approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(8), pages 1074-1085, October.
    3. Benedetto, A., 2002. "A decision support system for the safety of airport runways: the case of heavy rainstorms," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(8), pages 665-682, October.
    4. Boštjan Kovačič & Damjan Doler & Drago Sever, 2021. "Innovative Business Model for the Management of Airports in Purpose to Identify Runway Damage in Time," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    5. Boštjan Kovačič & Damjan Doler & Drago Sever, 2021. "The Innovative Model of Runway Sustainable Management on Smaller Regional Airports," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    6. Chen, Yikai & Corr, David J. & Durango-Cohen, Pablo L., 2014. "Analysis of common-cause and special-cause variation in the deterioration of transportation infrastructure: A field application of statistical process control for structural health monitoring," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 96-116.

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