SPINE’s vision is to accelerate the progress towards climate neutrality by reinforcing PT systems through their smart integration with new mobility services, sharing schemes, active transport modes, and micromomibilty. SPINE adopts an equity centred design thinking approach, leading the transition to a more efficient, sustainable, resilient, and inclusive PT system. A network of collaborative LLs is developed to foster transferability, while an intersectional view of the transport system users is applied. Four Lead City LLs in Antwerp, Bologna, Tallin and Las Palmas will be established, and a series of co-creation activities will take place where multiple stakeholders will be actively engaged in the development and demonstration of efficient, replicable, and socially acceptable innovative mobility solutions, advancing existing assets. The SPINE approach involves the creation of (a) innovative simulation and Digital Twining (DT) tools, along with open data and behavioural models, that will allow the building of scenarios combining different mobility interventions (push and pull measures along with supporting policies) and the implementation of the most promising ones; (b) data-driven impact assessment models that will foster the twinning, transferability and adaptation of the successful solutions of the four LLs in seven Twining Cities - Barreiro, Valladolid, Zilina, Sibenik, Hrakleion, Gdynia and Rouen-. SPIRE sets a high ambitious plan for the co-design and implementation of 55 smart greens inclusive mobility solutions. The SPINE consortium brings together a multidisciplinary team of 39 partners from 16 countries. The unique mix of experienced transport engineers, Public transport Operators, computer scientists, data analysts, transport modelers, social scientists, urban planners, policy analysts, software providers, within our consortium assures the comprehensive approach to the challenges, scope, expected impact and the successful delivery of the project.

UPPER aims at spearheading a Public Transport revolution that will strengthen the role of PT as the flagship of sustainability and innovation of mobility in cities, leading the transition towards a zero emission mobility which will become the cornerstone of climate neutrality by 2030, in line with the goal of Cities Mission and the priorities of the Green Deal. UPPER will put the Public Transport at the centre of the mobility ecosystem and will implement a combination of 84 push and pull measures, acting on the 5 innovation axes that condition user’s choices: mindset and culture, urban mobility planning, mobility services ecosystem, road network management and democratic governance. These measures will act in 4 different timescales (from shorter to longer-term): communication, operations, infrastructure and urban fabric. The UPPER measures will be supported by the UPPER Toolkit (U-TWIN, U-SIM, U-NEED, U-GOV, U-KNOW, U-TRANSFER and U-SUMP), 7 IT tools combining social and technological innovation that will be demonstrated within the measures in the 5+5 UPPER living labs and twinning sites, with the overall target of increasing the use of public transport by >30% and the user satisfaction by >25%, leaving nobody behind in the process. This integrated and holistic approach will ease the cooperation among authorities and operators, offer a physical and digital environment to test the measures, update the existing SUMPs, optimise the PT offer in line with user needs and patterns, involve the users in the overall mobility decision chain, trigger the behavioural change in favour of Public Transport and achieve an attractive, efficient, reliable, safe, inclusive and affordable Public Transport system in line with the concept of Mobility as a Right (MaaR)

The MultiMod project aims at enhancing the mobility of citizens in urban areas by providing them, through a unique interface enabling to express their preferences, the most convenient transportation means to reach their destinations. Indeed, the increasing involvement of actors and authorities in the deployment of more responsible and cost-effective logistics and the progress made in the field of digital technology have made possible to create synergies in the creation of innovative services for improving the mobility in cities. However, users are faced with a number of solutions that coexist at different scales, providing complementary information for the mobility of users, but that make very complex to find the most convenient itinerary at a given time for a specific user. In this context, MultiMod aims at improving the mobility of citizens in urban areas by proposing contextualized services, linking users, to facilitate multimodal transport by combining, with flexibility, all available modes (planned/dynamic carpooling, public transport (PT), car-sharing, bicycle, etc.). We consider the use of carpooling in metropolitan areas, and so for short journeys. Such usage enables itineraries that are not possible with PT, allows for opening up areas with low PT coverage by bringing users near PT (last miles), and for faster travel-time when existing PT itineraries are too complex or with too low frequency (e.g., one bus per hour). In this context, the application must help the driver and the passenger as much as possible. In particular, the application must propose the meeting-point, indicate the driver the detour duration, and indicate the passenger how to reach this meeting-point using PT. Here, the time taken by drivers and passengers to agree becomes a critical issue and so the application must provide all needed information to quickly take a decision (i.e., in one click). In addition, the era of Smart City gathers many emerging concepts, driven by innovative technological players, which enables the exploitation of real-time data (e.g., delay of a bus, traffic jam) made available by the various actors (e.g., communities in the framework of Open Data projects, users via their mobile terminals, traffic supervision authorities). In the MultiMod project, we will use these rich sources of data to propose itineraries that are feasible at query-time. Our findings will enable the design of a mobility companion able not only to guide the user along her journey, including when and how to change of transportation mean, but also to propose itinerary changes when the current one exceeds a threshold delay. The main originality of this project is thus to address the problem of computing itineraries in large-scale networks combining PT, carpooling and real-time data, and to satisfy the preferences of users. We envision that the outcome of this project will significantly improve the daily life of citizens. The targeted metropolitan area for validating our solutions is Ile-de-France. Indeed, Instant-System is currently developing the new application “Vianavigo lab” which will replace the current “Vianavigo” application for the PT network of Ile-de-France. Our findings will therefore be tested at scale and eventually be integrated and deployed in production servers and mobile applications. The smaller networks of Bordeaux and Nice will be used to perform preliminary evaluations since Instant System already operates applications in these cities (Boogi Nice, Boogi Bordeaux). An important remark is that new features and algorithms can contractually be deployed in production every 4 months, thus enabling Instant System to measure and challenge the results of the MultiMod project in continue. This is a chance for the project to maximize its impact.