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Mathematical programming models for airport site selection

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  • Saatcioglu, Omer

Abstract

Three mathematical programming models are developed in this paper, using different criteria, for the airport site selection problem in developing countries. Estimation of parameters, based on Turkish data, and the sensitivity analyses are presented. The first is a typical set covering model used to determine the minimum number of airports required for a given population of passengers. The other two are location-allocation type models used to find the optimal airport location patterns, the number of passengers to be bussed to cities having airports, and the optimal frequencies of transportation modes between the city pairs.

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  • Saatcioglu, Omer, 1982. "Mathematical programming models for airport site selection," Transportation Research Part B: Methodological, Elsevier, vol. 16(6), pages 435-447, December.
    • Handle: RePEc:eee:transb:v:16:y:1982:i:6:p:435-447
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    Cited by:

    1. Luis Samaniego & Peter Treuner, 2006. "Optimisation of Infrastructure Location," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 26(2), pages 119-145, October.
    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. 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.
    4. 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.
    5. Grubesic, Tony H. & Matisziw, Timothy C. & Murray, Alan T., 2012. "Assessing geographic coverage of the essential air service program," Socio-Economic Planning Sciences, Elsevier, vol. 46(2), pages 124-135.

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