Vista, “Market forces trade-offs impacting European ATM performance”, was a SESAR 2020 Exploratory Research project funded through Horizon 2020. The consortium was led by the University of Westminster with partners: Innaxis Research Institute, EUROCONTROL, Icelandair, Norwegian Air Shuttle, SWISS and Belgocontrol.
The effects of conflicting market forces on European performance in ATM have been examined through the evaluation of impact metrics on four key stakeholders and the environment. Vista also studied the impacts of the three major regulatory instruments in Europe: (i) the binding targets set in the context of the Single European Sky Performance Scheme; (ii) the passenger compensation and assistance scheme (Regulation 261) and (iii) the European emissions trading system; plus the goals and targets set out in the EC’s high-level vision document for aviation in 2050 (Flightpath 2050). These instruments are currently not systematically coordinated.
The primary objectives of the project were to quantify:
• Trade-offs between/impacts of primary regulatory and business (market) forces
• Vertical metric trade-offs within any given period
• Horizontal trade-offs between periods, particularly as many targets are not currently mapped from year to year, are discontinuous with other targets or entirely missing
• Whether alignment may be expected to improve/deteriorate as we move closer to Flightpath 2050’s timeframe
Vista comprised a systematic, impact trade-off analysis using classical and complexity metrics, encompassing both fully monetised/quasi-cost impact measures. To achieve these, Vista modelled the current, 2035 and 2050 timeframes based on various factors and their potential evolution. These factors influence the choices of the actors in the ATM system.
Foreground factors have been analysed in detail to understand their impact on the system’s metrics. Background factors were grouped giving them predefined possible values to generate future background scenarios onto which to test the foreground factors. This approach allowed us to model possible future evolution of the system while understanding the impact of individual parameters.