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A Stepwise Efficiency Improvement DEA Model for Airport Management with a Fixed Runway Capacity

Author

Listed:
  • Soushi Suzuki

    (Hokkai-Gakuen University,Japan)

  • Peter Nijkamp

    (VU University Amsterdam)

Abstract

Airports face a mutual competition. Consequently, they will be forced to improve the efficiency. Actual airport policies may comprise both short-term (flexible) adjustments and long-term (rigid) adjustments. Data Envelopment Analysis (DEA) is a standard tool to assess the relative efficiency. Two interesting approaches, namely Distance Friction Minimization (DFM) model and Context-Dependent (CD) model, are noteworthy here. DFM model serves to improve the performance of business activities by identifying the most appropriate movement towards the efficiency frontier surface. Likewise, CD model seeks to reach efficient frontiers in a series of steps. Stepwise DFM model is integrated of DFM and CD model. An extension of Stepwise DFM model is next achieved by including a fixed (rigid) input factor. In our study, the above-mentioned Stepwise Fixed Factor projection model is illustrated on the basis of a comparative study regarding an efficiency assessment of airports in Japan.

Suggested Citation

  • Soushi Suzuki & Peter Nijkamp, 2013. "A Stepwise Efficiency Improvement DEA Model for Airport Management with a Fixed Runway Capacity," Tinbergen Institute Discussion Papers 13-105/VIII, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20130105
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    References listed on IDEAS

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    1. Tarja Joro & Pekka Korhonen & Jyrki Wallenius, 1998. "Structural Comparison of Data Envelopment Analysis and Multiple Objective Linear Programming," Management Science, INFORMS, vol. 44(7), pages 962-970, July.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Seiford, Lawrence M. & Zhu, Joe, 2003. "Context-dependent data envelopment analysis--Measuring attractiveness and progress," Omega, Elsevier, vol. 31(5), pages 397-408, October.
    4. Suzuki, Soushi & Nijkamp, Peter & Rietveld, Piet & Pels, Eric, 2010. "A distance friction minimization approach in data envelopment analysis: A comparative study on airport efficiency," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1104-1115, December.
    5. Yoshida, Yuichiro & Fujimoto, Hiroyoshi, 2004. "Japanese-airport benchmarking with the DEA and endogenous-weight TFP methods: testing the criticism of overinvestment in Japanese regional airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(6), pages 533-546, November.
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    Citations

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    Cited by:

    1. Xiong, Beibei & Chen, Haoxun & An, Qingxian & Wu, Jie, 2019. "A multi-objective distance friction minimization model for performance assessment through data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 279(1), pages 132-142.

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    More about this item

    Keywords

    Data Envelopment Analysis (DEA); Stepwise Projection; Distance Friction Minimization; Context-Dependent Model; Fixed Factor; Airport Operations;
    All these keywords.

    JEL classification:

    • L93 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Air Transportation

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