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Travel Information Management for Seamless Intermodal Transport

Periodic Reporting for period 1 - TRANSIT (Travel Information Management for Seamless Intermodal Transport)

Reporting period: 2020-05-01 to 2021-04-30

TRANSIT’s vision is that of a multimodal European transport system where the different modes are seamlessly integrated, so that passengers travel from door to door in an efficient, sustainable and resilient manner. Realising this vision requires coordinated planning and collaborative decision-making across transport modes, as well as multimodal information systems that allow passengers to plan and reconfigure their journeys in real time.

The goal of TRANSIT is to develop a set of multimodal key performance indicators (KPIs), mobility data analysis methods and transport simulation tools allowing the evaluation of the impact of innovative intermodal transport solutions on the quality, efficiency and resilience of the door-to-door passenger journey.

The project will deliver the following outcomes:
1) The high-level specification of a set of innovative intermodal concepts based on information sharing between the ATM system and ground transport modes. The concepts to be studied will encompass solutions for coordinated decision-making across transport modes as well as new passenger information services allowing the passenger to re-plan their journey in real time.
2)A set of multimodal KPIs allowing a comprehensive assessment of the contribution of each transport mode to the quality, efficiency and resilience of the total door-to-door trip.
3) A collection of new data analysis methods and algorithms for the detailed reconstruction of the different stages and attributes of long-distance multimodal trips. The new algorithms will integrate geolocation data from personal mobile devices (e.g. mobile phone records) with more conventional data sources to reconstruct the door-to-door origin and destination, the trip purpose, the mode and route choice for each stage of the trip, the duration of the different stages, and the total door-to-door travel time, allowing the measurement of the proposed multimodal KPIs.
4) A modelling and simulation framework that will represent annual long-distance travel at the national scale, enabling the evaluation of the effect of different intermodal solutions and passenger information systems on long-distance travel behaviour and the resulting impact on the multimodal KPIs. The framework will allow the
coupling of the national travel model with a more detailed model of daily travel in a city or region, in order to investigate solutions involving the coordination of air transport with urban or regional public transport operators and mobility service providers (e.g. for disruption management). This modelling approach will be implemented for two case studies consisting of a national transport model coupled with a more detailed model of a major metropolitan area, namely Spain-Madrid and France-Paris.
5) An impact assessment of the proposed intermodal concepts, based on their simulation for the Spain-Madrid and France-Paris case studies, and a set of guidelines and recommendations for the further development and practical implementation of those solutions identified as more promising.
During the first year of the project, the work has focused on:
- producing the Project Management Plan and other management documentation;
- gathering and assessing the different datasets that will be used throughout the project;
- reviewing current unimodal performance frameworks and proposing a new performance framework allowing the assessment of intermodal travel;
- proposing a set of multimodal solutions based on information sharing and coordinated decision-making between air transport and other transport modes. This includes solutions at the strategic level, such as integrated ticketing and schedule coordination, as well as new approaches for the tactical management of disruptions;
- the development of new algorithms for passenger and trip characterisation through the analysis of anonymised mobile network data and their fusion with other data sources, such as ticketing data and travel surveys;
- the specification of the simulation framework that will be used in the project.

The management, communication and ethics deliverables produced during the first year are listed below:
- Project Management Plan (D1.1);
- Data Management Plan (D1.2);
- Project Website (D7.1): www.transit-h2020.eu;
- Communication and Dissemination Plan (D7.2);
- Ethics deliverables, which describe the mechanisms and procedures put in place by TRANSIT to ensure compliance with the applicable EU and national laws on data protection (D8.1) the selection of the research participants and the informed consent procedure to inform them about the use of their contact details and their opinions (D8.2) and the details on the materials, including personal data, which will be imported to/exported from the EU (D8.3)

The scientific-technical deliverables produced during this first year are the following:
- ATM Role in Intermodal Transport: Opportunities for Innovative Intermodal Concepts and Passenger Information Services (D2.1).
- Multimodal Performance Framework (D3.1).
- Methodologies and Mobility Analytics Algorithms for the Analysis of the Door-to-Door Passenger Journey(D4.1).

A variety of actions have been put in place to disseminate the project findings, including the project website, the organisation of the 1st TRANSIT Stakeholder Workshop and other working sessions with industrial and academic players, the presentation of the project at the SESAR Innovation Days 2020 and the preparation of the paper ‘Enhanced passenger characterisation through the fusion of mobile phone records and airport survey’.
The project has made the following contributions to the state-of-the-art:
- Several new intermodal concepts and passenger information services have been proposed.
- TRANSIT has defined a new set of multimodal indicators and metrics that extend existing performance frameworks to take into account the nature of trips with multiple legs and capture the contribution of each stage of a trip to different performance areas.
- The project has advanced the state-of-the-art in the extraction of travel demand information from mobile network data, by developing new machine learning algorithms for the estimation of trip purpose (business vs leisure) and passenger socioeconomic profile.

During the second year, the project will contribute to advancing the state-of-the-art in the modelling of long-distance travel and will apply the newly developed models to assess the proposed intermodal concepts.

The project is expected to have an impact at different levels:
- The new multimodal KPIs and the metrics enabled by the mobile phone data will allow a more accurate measurement of the level of achievement of the EC 4-hour door-to-door target and the identification of where in the door-to-door chain there is more potential for improvement.
- TRANSIT will enable the identification of those areas where information sharing and coordinated decision-making between ATM and other transport modes can help improve the efficiency, sustainability and resilience of door-to-door trips, identifying relevant trade-offs (e.g. travel time vs travel
time reliability) and helping understand how to balance the heterogeneous needs of different types of passengers.
- The simulation model developed by TRANSIT will serve as a ‘virtual laboratory’ for evaluating the passengers’ response to the new solutions (e.g. in terms of modal choices) and the resulting performance impact.
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