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This chapter takes a closer look at the case of Amsterdam as a particular manifestation of a film festival city. Drawing from a new dataset on festivals in the Netherlands, the data supports the view of film festivals as a highly dynamic cultural sector: Internationally acclaimed film festivals exist beside smaller festivals that are more community bound; new festivals emerge annually, and young festivals struggle to survive the three-to-five-year mark.Amsterdam holds a unique position in the Dutch film festival landscape as a third of all film festivals in the Netherlands take place in the capital city. Our data collection helps to bring parts of the city’s film infrastructure to the forefront. On the one hand, Amsterdam’s top five locations for film festival events show clear creative cities logic: The data shows just how powerful the pull of such locations is. On the other hand, we find evidence of placemaking and livable city strategies: Amsterdam’s film festivals extend into the capillaries of the city.Dedicated festival datasets may cast new perspectives on local or national festival landscapes, by revealing patterns that remain hidden in qualitative and case-study based projects. But there are also challenges to address in data-driven research on festival cultures, we name a few such as categorization of data. We conclude that such challenges can be more easily faced if more datasets, of for instance, other cities, are pursued and become available.
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This chapter takes a closer look at the case of Amsterdam as a particular manifestation of a film festival city. Drawing from a new dataset on festivals in the Netherlands, the data supports the view of film festivals as a highly dynamic cultural sector: Internationally acclaimed film festivals exist beside smaller festivals that are more community bound; new festivals emerge annually, and young festivals struggle to survive the three-to-five-year mark.Amsterdam holds a unique position in the Dutch film festival landscape as a third of all film festivals in the Netherlands take place in the capital city. Our data collection helps to bring parts of the city’s film infrastructure to the forefront. On the one hand, Amsterdam’s top five locations for film festival events show clear creative cities logic: The data shows just how powerful the pull of such locations is. On the other hand, we find evidence of placemaking and livable city strategies: Amsterdam’s film festivals extend into the capillaries of the city.Dedicated festival datasets may cast new perspectives on local or national festival landscapes, by revealing patterns that remain hidden in qualitative and case-study based projects. But there are also challenges to address in data-driven research on festival cultures, we name a few such as categorization of data. We conclude that such challenges can be more easily faced if more datasets, of for instance, other cities, are pursued and become available.
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This paper focuses on the use of discrete event simulation (DES) as a decision support tool for airport land use development. As a study case, Querétaro Airport (Mexico) is used, due to its rapid growth and the different services it offers. The SIMIO® software was used to carry out a macro-level simulation of the airport’s processes, considering generic process times, flight types and demand schedules. The resulting strategic simulation model can be used to diagnose the current growth situation, analyse the airport's growth potential, and evaluate different expansion scenarios using the available land, including the expansion of the terminal building, cargo operations or MRO. The arrival and departure of aircraft (commercial, cargo, maintenance, aviation school and private aviation) at the airport were simulated to detect bottlenecks for different expansion scenarios, that aim to find an optimal balance between the growth options in the different airport grounds. The objective is to compare the potential growth of different layout expansion possibilities. Preliminary results indicate that land use options have a great impact on the growth potential of the airport and some general aviation activities, such as the aviation school, are interfering with the potential growth of other activities at Querétaro Airport.
This paper focuses on the use of discrete event simulation (DES) as a decision support tool for airport land use development. As a study case, Querétaro Airport (Mexico) is used, due to its rapid growth and the different services it offers. The SIMIO® software was used to carry out a macro-level simulation of the airport’s processes, considering generic process times, flight types and demand schedules. The resulting strategic simulation model can be used to diagnose the current growth situation, analyse the airport's growth potential, and evaluate different expansion scenarios using the available land, including the expansion of the terminal building, cargo operations or MRO. The arrival and departure of aircraft (commercial, cargo, maintenance, aviation school and private aviation) at the airport were simulated to detect bottlenecks for different expansion scenarios, that aim to find an optimal balance between the growth options in the different airport grounds. The objective is to compare the potential growth of different layout expansion possibilities. Preliminary results indicate that land use options have a great impact on the growth potential of the airport and some general aviation activities, such as the aviation school, are interfering with the potential growth of other activities at Querétaro Airport.
Mexico City airport is located close to the center ofthe city and is Mexico’s busiest airport which is consideredcongested. One of the consequences of airport congestion areflight delays which in turn decrease costumer’s satisfaction. Airtraffic control has been using a ground delay program as a toolfor alleviating the congestion problems, particularly in the mostcongested slots of the airport. This paper uses a model-basedapproach for analyzing the effectiveness of the ground delayprogram and rules. The results show that however the rulesapplied seem efficient, there is still room for improvement inorder to make the traffic management more efficient.
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