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A Decision Analysis with Multiple Objectives: the Mexico City Airport

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  • Ralph L. Keeney

Abstract

This paper reports an analysis done for the Secretaria de Obras Publicas (Ministry of Public Works) of Mexico to help select the most "effective" strategy for developing the airport facilities of the Mexico City metropolitan area to insure quality air service for the remainder of the century. Effectiveness is a complex function including attributes of cost, safety, capacity of the airport facilities, noise levels, social disruption, and access times. A decision analytic model was used for evaluating strategies. The attributes were adapted to account for impacts over time, and probability density functions and a utility function were assessed over the six attributes. Details of these assessments are given. The results and implications of the analyses are discussed. A unique aspect of the study involved the assessment of a multiattribute utility function and its use to aid an important policy decision.

Suggested Citation

  • Ralph L. Keeney, 1973. "A Decision Analysis with Multiple Objectives: the Mexico City Airport," Bell Journal of Economics, The RAND Corporation, vol. 4(1), pages 101-117, Spring.
    • Handle: RePEc:rje:bellje:v:4:y:1973:i:spring:p:101-117
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    Cited by:

    1. Hardaker, J. B., 1982. "Fundamental Aspects Of Risk And Uncertainty In Agriculture," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 21(2), October.
    2. Jacquillat, Alexandre & Odoni, Amedeo R., 2018. "A roadmap toward airport demand and capacity management," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 168-185.
    3. Canbolat, Yavuz Burak & Chelst, Kenneth & Garg, Nitin, 2007. "Combining decision tree and MAUT for selecting a country for a global manufacturing facility," Omega, Elsevier, vol. 35(3), pages 312-325, June.
    4. Zanakis, Stelios H. & Mandakovic, Tomislav & Gupta, Sushil K. & Sahay, Sundeep & Hong, Sungwan, 1995. "A review of program evaluation and fund allocation methods within the service and government sectors," Socio-Economic Planning Sciences, Elsevier, vol. 29(1), pages 59-79, March.
    5. Hauser, John R. & Urban, Glen L., 1975. "A normative methodology for modeling consumer response to innovation," Working papers 785-75., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    6. Sinden, Jack A., 1980. "On The Derivation Of Indifference Maps For Estimating Consumer'S Surplus: Reply," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 24(3), pages 1-7, December.
    7. Fry, Phillip C. & Rinks, Dan B. & Ringuest, Jeffrey L., 1996. "Comparing the predictive validity of alternatively assessed multi-attribute preference models when relevant decision attributes are missing," European Journal of Operational Research, Elsevier, vol. 94(3), pages 599-609, November.
    8. Willem K. Brauers, 2002. "The multiplicative representation for multiple objectives optimization with an application for arms procurement," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(4), pages 327-340, June.
    9. 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.

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