Assessment of the testing results in the Case Study of Lisbon

The Lisbon Metropolitan Area (LMA) is a grouping of 19 municipalities centered around the city of Lisbon, the capital of Portugal. It has over 2.8 million residents, with Lisbon alone being home to over half-a-million inhabitants. Ever since the COVID-19 pandemic, there has been a progressive worsening of congestion observed in the city, both due to an increase in the population around the LMA, and to a migratory effect of residents shifting away from the city center and towards other municipalities. As a high percentage of jobs are still located in the capital, this has led to a pronounced intensification of commuting traffic entering and exiting the city.Having taken the pledge to become one of the 100 Climate-Neutral and Smart Cities, the city of Lisbon has the ambition to achieve carbon-neutrality by 2030, and has designed a set of strategies to promote the use of Public Transport (PT) and active modes. Nevertheless, bus and tram operators are subject to the same conditions as cars, and thus likewise negatively affected by the city’s congestion.As a pilot site in the TANGENT project, Lisbon focuses on the experimentation of novel tools for real-time monitoring of traffic conditions, and in the design of strategies to mitigate the negative effects of congestion and disruptions, to improve the public transport services. The case study focuses on the three Westernmost parishes of Lisbon, which are the entryway to the city from the neighboring municipalities, both for car-users and PT passengers.In Lisbon, three TANGENT services were tested: Service 1, an enhanced multimodal information integration service that enabled the consolidation of real-time data from diverse internal and external sources into a single dashboard that offers users an overview of mobility conditions in the city; Service 2, focused on incident management and the engagement and collaboration of stakeholders to solve incidents; and Service 3, which facilitates the planning of response actions and aids decision-making through simulation.The main lessons learned during the testing process relate the need for the inclusion of diverse stakeholders and multimodal data sources in the network analysis: it is important to engage and motivate transport entities to collaborate in the development of data sharing protocols that enable the integration of multimodal information, which benefits other operators and (through platforms such as the one developed by TANGENT) themselves. Moreover, an effort should be made to upgrade the existing data sources and data collection infrastructure, to enable the gathering of more detailed and better-quality information, which is essential for creating a more accurate picture of the city’s mobility conditions.The present deliverable describes the testing and validation methodologies conducted during the testing activities, the obtained results, the lessons learned, and next steps for the Lisbon case study.