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Dynamic expansion and location of an airport: A multiple objective approach

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  • Min, Hokey
  • Melachrinoudis, Emanuel
  • Wu, Xing

Abstract

In this paper we propose a dynamic, multi-objective, mixed integer programming model that aims to determine the optimal airport site under capacity and budgetary restrictions. In contrast with the existing models, the proposed model can also solve a practical size location-allocation problem without serious computational difficulty. As a practical example, the model has been applied to the airport expansion and construction problem facing the Massachusetts Port Authority and Aeronautics Commission.

Suggested Citation

  • Min, Hokey & Melachrinoudis, Emanuel & Wu, Xing, 1997. "Dynamic expansion and location of an airport: A multiple objective approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(5), pages 403-417, September.
    • Handle: RePEc:eee:transa:v:31:y:1997:i:5:p:403-417
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    References listed on IDEAS

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    1. Saatcioglu, Omer, 1982. "Mathematical programming models for airport site selection," Transportation Research Part B: Methodological, Elsevier, vol. 16(6), pages 435-447, December.
    2. Schilling, David A. & Revelle, Charles & Cohon, Jared, 1983. "An approach to the display and analysis of multiobjective problems," Socio-Economic Planning Sciences, Elsevier, vol. 17(2), pages 57-63.
    3. Melachrinoudis, Emanuel & Cullinane, Thomas P., 1986. "Locating an undesirable facility with a minimax criterion," European Journal of Operational Research, Elsevier, vol. 24(2), pages 239-246, February.
    4. Current, John & Min, Hokey & Schilling, David, 1990. "Multiobjective analysis of facility location decisions," European Journal of Operational Research, Elsevier, vol. 49(3), pages 295-307, December.
    5. J Paelinck, 1977. "Qualitative Multicriteria Analysis: An Application to Airport Location," Environment and Planning A, , vol. 9(8), pages 883-895, August.
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    2. Santos, Miguel Gueifão & Antunes, António Pais, 2015. "Long-term evolution of airport networks: Optimization model and its application to the United States," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 17-46.
    3. Md Shahab Uddin & Pennung Warnitchai, 2020. "Decision support for infrastructure planning: a comprehensive location–allocation model for fire station in complex urban system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 1475-1496, July.
    4. Wen, Meilin & Iwamura, Kakuzo, 2008. "Fuzzy facility location-allocation problem under the Hurwicz criterion," European Journal of Operational Research, Elsevier, vol. 184(2), pages 627-635, January.
    5. Yang, Zhongzhen & Yu, Shunan & Notteboom, Theo, 2016. "Airport location in multiple airport regions (MARs): The role of land and airside accessibility," Journal of Transport Geography, Elsevier, vol. 52(C), pages 98-110.
    6. Li, Ran & Tong, Daoqin, 2017. "Incorporating activity space and trip chaining into facility siting for accessibility maximization," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 1-14.

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