A decision support system for airport strategic planning |
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| Institution: | 1. Athens International Airport, Athens, Greece;2. Department of Management Science and Technology, Athens University of Economics and Business, Athens, Greece;3. Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, USA;1. School of Architecture, Tsinghua University, Beijing, China;2. Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing, China;3. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China;4. Beijing Daxing Airport, Beijing, China;5. School of Business Administration, Southwestern University of Finance and Economics, Chengdu, China;1. École Nationale d’Aviation Civile, Toulouse, France;2. Aviation Studies Institute, Engineering Systems and Design, Singapore University of Technology and Design, Singapore;3. Department of Aeronautics & Astronautics, Massachusetts Institute of Technology, Cambridge, MA, USA;4. CITTA, Department of Civil Engineering, University of Coimbra, Portugal;1. School of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China;2. School of Information and Engineering, Sichuan Tourism University, Chengdu 610100, China;3. Shenzhen Airlines Co., Ltd, Shenzhen 518128, China;4. College of Artificial Intelligence, Guangxi University for Nationalities, Nanning 530006, China;5. School of Computer Science, China West Normal University, Nanchong 637002, China;6. Department of Endocrinology, Chongqing University Central Hospital, Key Laboratory for Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing 400014, China;7. Key Laboratory of Intelligent Image Processing and Analysis, Wenzhou University, Wenzhou, Zhejiang 325035, China;1. ETSI Industriales, Universidad Politecnica de Madrid, E-28006 Madrid, Spain;2. ETSI Aeronautica y del Espacio, Universidad Politecnica de Madrid, E-28040 Madrid, Spain |
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| Abstract: | This paper describes an integrated set of models for the estimation of the capacity of an airfield and the associated delays. The aim is to develop a decision support tool suitable for airport planning at the strategic level. Thus, the emphasis is on obtaining reliable approximations to the quantities of interest quickly and with a limited set of inputs. The models account for the dynamic characteristics of airfield capacity and demand, as well as for some stochastic aspects of airfield operations. They are sensitive to airfield geometry, the operational characteristics of the airfield and of the local air traffic control system, and the characteristics of the local air traffic demand for airport access and services. Through its integrated structure, the decision support tool can account for interactions among operations at different parts of the airfield. |
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