Periodic Reporting for period 2 - DATASET2050 (Data driven approach for a Seamless Efficient European Travelling in 2050)
Reporting period: 2016-06-01 to 2017-11-30
(1)To take a passenger-centric approach, defining and measuring several multimodal door-to-door mobility metrics that are interesting and relevant from the passengers' perspective.
(2)To provide useful and valuable quantitative insights into European door-to-door travel through a cutting edge data science approach for both present and future transport scenarios (2035 & 2050), using several multi-modal and social data sources that had previously been in isolated silos.
(3)To assess how the European transport supply profile (capacity, connections, business models, regulations, intermodality, processes, infrastructure) will adapt to the evolution of the demand profile (customers, demographics, passenger expectations, requirements).
(4)To pave the way for a seamless and efficient door-to-door travelling experience in the (near) future, via identifying European transport bottlenecks and improvement areas across the different scenarios, through expert application of state-of-art predictive analytics, modelling, statistical analyses and visualisation.
(5)To identify and forecast novel multimodal transport concepts and innovations supporting the improvement of door-to-door metrics."
Looking at the requirements of the data to feed the DATASET2050 model at all its phases (i.e. door-to-kerb, kerb-to-gate, gate-to-gate, gate-to-kerb and kerb-to-door). Deliverable 2.1
Conducting an intensive review of what data are available, together with analysing temporal/geographical coverage, granularity, cost etc. data acquisition tasks. Deliverable 2.1
Designing and developing a visual tool that enables an easy exploration of the door-to-door datasets, available at: http://visual.innaxis.org/mobilityDataSETs
Developing a data-driven model capable of simulating the door-to-door processes. Deliverable 2.2
Completing the current demand profile, including the current mobility details (passenger behaviour, demographics, passenger expectations, requirements), is reported in Deliverable 3.1 and has provided key input for the corresponding model part (demand). Deliverables 3.1 and 3.2
The current supply profile includes research on the current level of capacity, connections, business models, regulations, intermodality, processes, infrastructure. This is reported on in Deliverable 4.1.
Mobility metrics and indicators have been defined and are described in Deliverable 5.1. These have been grouped into 10 Key Performance Areas (KPAs), generally equivalent to the KPAs defined for Air Traffic Management (ATM) improvement by ICAO. Deliverable 5.1
Metrics calculation using the door-to-door mobility model: focusing on time and price related ones. How long each door-to-door subsegment last depending on passenger profile, how much it costs, what is the current situation compared with strategic agendas (and the 4hour door-to-door objective) Deliverables 5.1 and 5.2
Reachability map (time) representing the overall probability of carrying out a journey from a selected airport within less than a chosen door-to-door duration. Deliverable 5.2
Reachability map (price), in an analogous manner, represent the overall probability of a certain door-door trip costing less than a selected price. Deliverable 5.2
Forecasting future mobility performance and identifying which are the areas with bigger room for improvement in terms of door-to-door performance. Deliverable 5.2
Derivation of passenger-centric performance parameters and the evaluation of new mobility concepts according to these. Deliverable 5.3
As well as looking at current door-to-door mobility performance, DATASET2050 also predicts what mobility will be like in the future and where future bottlenecks could be, once the novel mobility concepts have gradually been implemented. This outcome will help decision makers to better foresee and plan necessary investments, adaptation and mobility strategies. All-in-all, in the medium and long terms, DATASET2050's main outcome is contributing to fewer disruptions and smoother, quicker, more comfortable travel for passengers, meeting their individual requirements along the entire door-to-door travel chain.
Some partial milestones and progress achieved beyond the state-of-the-art include:
Calculating, following a data-driven quantitative approach, what the current door-to-door mobility metrics are. DATASET2050 first milestone has been the provision of more advanced quantitative metrics than the simple qualitative analyses / reports available before launching the project.
Accomplishing a better holistic, passenger-centric view of mobility, including future passenger profiling and future transport demand.
Predicting what the bottlenecks in future mobility scenarios will be. This prediction includes assessing and analysing how compressible the current door-to-door sub-segments are; what the potential futuristic scenarios are; what is the relationship between future demand and supply profiles in transport likely to be.