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Development of Airport Capacity Management Model Based on Decision Support System

Salimi, Mohammad | 2019

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51822 (45)
  4. University: Sharif University of Technology
  5. Department: Aerospace Engineering
  6. Advisor(s): Pourtakdoust, Hossein
  7. Abstract:
  8. Airports are one of the most important elements of the aviation system that provide the ground infrastructure that is required for enabling or flight across the globe. Master Planning is currently the dominant approach to airport strategic planning. However, history shows that this approach can often result in costly mistakes. Because there are many stakeholders with conflicting objectives, deep uncertainty about the future, and many potential strategies, planners often narrow their scope by using a single forecast for the future, leaving out alternative strategies, and excluding stakeholders, resulting in a Master Plan that quickly becomes obsolete and may be opposed by some stakeholders. What is needed is a flexible, integrated approach that enables collaboration among stakeholders. Such an approach can be facilitated using a Decision Support System (DSS) that provides a way for decisionmakers and stakeholders to evaluate alternative strategies quickly and easily with respect to their outcomes of interest. The project is conducted in three sections: First, we made a long-term forecasting for passenger and cargo demand with using of econometric modelling and policy analysis on Iran aviation industry that can be used by policymakers. Second, we analyzed current airport strategic planning, Third, we developed a conseptual model for airport strategic planning based on multi-criteria decision support system for airport management that can be used by aviation managers. In this study, a decision aid model using the analytical hierarchy process (AHP) coupled with rough approximation concepts was developed to assist the case study of Imam Khomeini airport. Our goal was to help build an efficient, safe and sustainable aviation infrastructure for future of aviation industry.
  9. Keywords:
  10. Demand Forecasting ; Air Transport ; Airports ; Strategic Planning ; Decision Making Support System ; Analytical Hierarchy Process (AHP) ; Airport Management ; Airport Capacity

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