Engage D2.1 Communication plan, website, and visual identity material

The purpose of this document, Deliverable 2.1, is to describe the dissemination plan, dissemination policy and initial dissemination products of the SESAR 2020 Exploratory Research action Engage, taking into account its specifications and the target audience. The following pages document the corresponding tasks involved in D2.1

DATASET2050 D5.1 - Mobility assessment

This document provides documentation on the mobility assessment metrics and methods for use within DATASET2050. On the one hand it describes what the key performance areas, attributes, indicators and metrics such as seamlessness, cost, duration, punctuality, comfort, resilience, etc. incorporated into the model are. On the other, it gives details about mobility metric computation, modelling methodology, visualisations used etc

DATASET2050 D2.2 - Data-driven Model

The purpose of this document, Deliverable 2.2, is to build the structure and specifications of the DATASET2050 data driven model. The door-to-door process is complex and therefore direct performance measurement of the process cannot be done due to availability of data and the high number of involved stakeholders. There are additional phenomena that cannot be measured, so the approach to assess performance is by collecting sample data and/or model the different elements of the mobility processes. This modelling exercise, documented in D2.2, is a powerful tool that assesses how the process performs in the current scenario, and beyond that, identify bottlenecks how modelling paradigms can be improved to take Europe to the 4-hour door-to-door target. The model utilises data that has been sourced, analysed and documented thus far (D2.1), as well as the numerous inputs from the demand and supply profiles (WP3 and WP4, namely: D3.1 and D4.1). This deliverable documents how the model is to be built, along with its scope and the development strategy

DATASET2050 D2.1 - Data requirements and acquisition

The purpose of this document, Deliverable 2.1, is to describe the sources of data required by the H2020 coordination and support action DATASET2050. Data requirements have been categorised into seven broad groups to support WP3 and WP4: demographic; passenger demand; passenger type; door-to-kerb; kerb-to-gate; airside capacity and competing services. The current scenario is well supported by existing datasets, however the two future scenarios require modelled data

DATASET2050 D3.2 - Future Passenger Demand Profile

The FlightPath 2050 goal of enabling 90 per cent of European passengers to complete their door-to-door journey within four hours is a very challenging task. A major objective of the DATASET2050 project is to deliver insight into both current and future processes relating to the European transport system in this context. The deliverable D3.2 "Future Passenger Demand Profile" focuses on the future demand side of European (air) transport. Namely, the first goal is to develop a range of passenger profiles for the year 2035 and to provide implications for passenger profiles for 2050. For this purpose, the development of passenger characteristics - including demographic, geographic, socio-economic and behavioural aspects as well as particular mobility patterns - is analysed using available European data and forecasts. Based on this analysis, on specific mobility behaviour of the different member states (EU28 and EFTA countries) as well as on a high-level-factor identification, six different passenger profiles for 2035 are developed. These six profiles differ by main travel purpose (private, business and leisure, which is the combination of business and leisure trips), predominant age group, income level (low, medium, high) and several other characteristics. Furthermore, a demand model is applied showing the high relevance of gross domestic product (GDP) and education for a steady growth of passenger traffic volume in the EU28 and EFTA countries until 2050. The outcomes of the current deliverable will be put in contrast with those coming from D4.2 (Future supply profile), enabling thus a comprehensive assessment on the European door-to-door mobility in the future. Specifically, the deliverable results will be used in D5.1 (Mobility assessment), D5.2 (Assessment execution) and D5.3 (Novel concept foundations for European mobility)

DATASET2050 D4.1 - Current Supply Profile

The purpose of this document, Deliverable 4.1, is to describe the Current Supply Profile for its further use in different threads by the DATASET2050 Horizon 2020 coordination and support action. This deliverable comprises the work conducted in order to define and list the door-to-door mobility supply components, as described in task 4.1. It presents the baseline supply situation with respect to current door-to-door trips within Europe, including an assessment, identification and mode of the mobility services currently available in Europe (airport access/egress times, airport processes times etc.) All the above will allow the DATASET2050 project partners to determine the time required to undertake the current processes involved from leaving the place of origin (the "Door") to the point of arrival at the airport (the "Kerb"), from the Kerb to the moment the passenger has had their boarding card scanned immediately prior to embarkation (the "Gate"). The same approach is used for the Gate-to-Gate processes (including connecting flights and the transfer process), and finally Gate-to-Kerb and Kerb-to-Door. The inherent asymmetries of what are, in principle, symmetric processes have been assessed (e.g.: Door-to-Kerb vs. Kerb-to-Door). D4.1 directly feeds the supply side of the mobility model that will be run in WP5 of DATASET2050

DATASET2050 D5.2 - Assessment execution

Over recent years there has been an increasing effort to enhance European door-to-door mobility. Several initiatives have focused on improving the seamlessness, effectiveness and predictability of the European transport system through improving the related systems, technologies, concepts or processes. In an effort to establish a concrete methodology for assessing the system's current performance, this document describes a data-driven model centred on the current and future performance of European mobility. Included in this study, but not restricted to, is data and insight related to the Flightpath 2050 goal that states "90% of travellers within Europe [will be] able to complete their journey, door-to-door within four hours" where this journey includes at least one leg by air. In this report, the current door-to-door times and prices are quantified, dis-aggregated by passenger profile, door-to-door phase (door-kerb-gate-gate-kerb-door) and airport considered. In addition, major bottlenecks are identified that are hindering the 4-hour goal

DATASET2050 D4.2 - Future supply profile

The purpose of this document, Deliverable 4.2, is to describe the future supply profile of EU mobility in the context of air transport. This includes, but is not restricted to, the evolution of the different travel services detailed in earlier DATASET2050 tasks and their corresponding trade-offs. This deliverable and associated tasks feed the model quantitatively and qualitatively via WP5, representing a key milestone for the DATASET2050 model

Optimal location of centralized biodigesters for small dairy farms: A case study from the United States

Anaerobic digestion technology is available for converting livestock waste to bio-energy, but its potential is far from fully exploited in the United States because the technology has a scale effect. Utilization of the centralized anaerobic digester (CAD) concept could make the technology economically feasible for smaller dairy farms. An interdisciplinary methodology to determine the cost minimizing location, size, and number of CAD facilities in a rural dairy region with mostly small farms is described. This study employs land suitability analysis, operations research model and Geographical Information System (GIS) tools to evaluate the environmental, social, and economic constraints in selecting appropriate sites for CADs in Windham County, Connecticut. Results indicate that overall costs are lower if the CADs are of larger size and are smaller in number