866 research outputs found

    Laja’b’kanal yet’ ko’ q’in, the Lasting Dances of Our Fiestas: Music Embodiment as a Collective Memory of the Maya Diaspora

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    The purpose of this article is to shed light on the music embodiment and collective memory of the Maya Diaspora, focusing on the Maya Q’anjob’al communities in the United State

    Study on the Modelling of Airport Economic Value

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    The primary objective of the Airport Economic Value project is to assess the value of additional passengers or additional capacity at an airport. It aims to qualify and quantify the main relationships and trade-offs between capacity, quality of service and profitability. This study provides a better understanding of the interdependencies of various KPIs and assesses the existence and behaviour of an airport economic optimum, in a similar way to the early 2000s, when estimating the economic en-route capacity optimum

    ComplexityCosts D4.5 - Final Technical Report

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    Using traffic and passenger itinerary data for the European network, the cost resilience of four mechanisms, with phased stakeholder uptake, has been assessed under explicit, local and disperse disturbance: industrial action and weather. A novel cost resilience metric has demonstrated logical properties and captured cost impacts sensitively. Of these mechanisms, only A-CDM has been cost-benefit analysed in SESAR, yet the other three each demonstrate particular utility. Flight-, passenger- and cost-centric metrics are deployed to assess the mechanisms, with fully costed results presented, based on extensive industry consultation. Initial work on assessing mechanism payback periods has begun

    Passenger-Oriented Enhanced Metrics

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    We report on a project building the first European ATM simulation combining flight and passenger trip data. New propagation-centric and passenger-centric performance metrics are described. The new metrics will be compared with existing, classical metrics, to compare their respective intelligibility, sensitivity and consistency. The trade-offs in performance across the metrics under a range of flight and passenger prioritisation scenarios will be examined. The corresponding regulatory and socio-political contexts are described. Complexity science techniques demonstrate the need to extend flight-centric network representations to include the passenger perspective

    Delay propagation – new metrics, new insights

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    Network delay propagation is intimately linked with the challenges of managing passenger itineraries and corresponding connections. Airline decision-making governing these processes is driven by operational and regulatory factors. Using the first European network simulation model with explicit passenger itineraries and full delay cost estimations, we explore these factors through various flight and passenger prioritisation rules, assessing the performance impacts. Delay propagation is further characterised under the different prioritisation rules using complexity science techniques such as percolation theory and network attack. The relative effects of randomised and targeted disruption are compared

    New perspectives for air transport performance

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    The average delays of flights and passengers are not the same. The air transport industry is lacking passenger-centric metrics; its reporting is flight-centric. We report on the first European network simulation model with explicit passenger itineraries and full delay cost estimations. Trade-offs in performance are assessed using passenger-centric and flight-centric metrics, under a range of novel flight and passenger prioritisation scenarios. The need for passenger-centric metrics is established. Delay propagation is characterised under the scenarios using, inter alia, Granger causality techniques

    Quantifying resilience in ATM - contrasting the impacts of four mechanisms during disturbance

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    Using traffic and passenger itinerary data for the European network, the cost resilience of four mechanisms, with phased stakeholder uptake, has been assessed under explicit, local and disperse disturbance: industrial action and weather. A novel cost resilience metric has demonstrated logical properties and captured cost impacts sensitively. Of these mechanisms, only A-CDM has been cost-benefit analysed in SESAR, yet the other three each demonstrate particular utility. Flight-, passenger- and cost-centric metrics are deployed to assess the mechanisms, with fully costed results presented, based on extensive industry consultation. Initial work on assessing mechanism payback periods has begun

    A multi-layer model for long-term KPI aligment forecast

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    This article presents a new holistic model for the air traffic management system built by the Vista project. The model studies the alignment and trade-offs of key performance indicators in the 2035 and 2050 horizons. It is based on three layers modelling the strategic, pre-tactical and tactical phases of ATM. It heavily features multi-agents, is highly data-driven, and includes highly microscopic models. It is runnable as a ‘what-if’ tool and has been applied to different scenarios, including long-term forecasts for 2035 and 2050. The results obtained with the model so far show clear trends, including surging emissions, an important reduction in delay uncertainty, and increases of flight plan buffer

    The economic value of adding capacity at airports – a data-driven model

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    This article presents a model for the economic value of adding capacity at airports. We start with an extensive literature review, discussing the main findings covering costs and revenues at airports, in particular related to their capacity. We then proceed to an analysis based on a wide range of data sources (financial, operational, quality of service) which have been synthesised into one database. The analysis itself yields interesting results, such as the presence of distinct types of airport and their characteristics. Broadly based on the knowledge gained from the data analysis, we describe a functional model describing the costs and revenues associated with an increase of capacity at an airport. We show how the model can be calibrated with data and present some preliminary results based on the calibration of Paris Charles de Gaulle airport
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