Context:
Smart cities must allow an urban or peri-urban territory to adapt dynamically to the human and goods mobility and transport needs of citizens as well as public and economic actors at different time scales. This without depriving elected representatives of their governance capacity, and by anticipating the evolution of the organization of the territory and its activities. Three main objectives are to be achieved:
Understanding urban mobility: the purpose is to obtain a dynamic unique digital observatory of mobility to study the practices of mobility (leisure, access to public services, work, etc) and urban logistics, the positive and negative impacts on the population with respect to their diversity (usages and quality of life, mobility chosen or undergone, health, disability situations), the link between mobility and professional activities (work mobility, trade and delivery, co-working spaces, teleworking, ...), the multimodal usages, the economic and energy needs and impacts, and the environment. Such an observatory has to deal not only with mobility data, but also many forms of sociological data (health, work, leisure, etc.) and it requires collaboration between humanities, social sciences, data sciences and system engineering. This observatory will also support applications and mobility simulation tools that will be developed.
Enable agile and coordinated governance of mobility means and infrastructures, management of alerts and congestion for various modes of travel, information and interaction with users, in particular for the mobility of the first/last kilometres. One of the essential stakes for the control of congestion is the temporal and spatial coordination of the activities of the territory. That is to say both to think the territorial implementation of services and infrastructures (housing, work, services) according to the mobility, but also to coordinate the schedules of the different activities to reduce congestion with the support of stakeholders and users concerned.
Allow medium and long-term dimensioning, deployment and adaptation of equipment, infrastructure and mobility services offered to users according to their specificity and the evolution of their needs and uses. It will involve interacting dynamically with the citizens for actions of awareness and training and to co-build through this collective intelligence (IC), new services and uses that will be validated first by simulation and feedback of experiments. These services and infrastructures in particular, must insure inclusive mobility. Simulation and prediction capabilities across a territory are therefore essential. Such activities could be implemented on a dynamic digital twin of the target territory dedicated to mobility.
Objective of the event:
The objective of this event is to gather for three weeks internationally recognized experts for their work on mobility, from the following scientific disciplines: data sciences and AI, human and social sciences and systems engineering. These three weeks will propose thematic workshops and seminars, working groups and reflections, and exchanges with the pilot territories. A plenary open conference will conclude the three weeks of collective work. The program proposed during the three weeks will be structured around two thematic axes:
Axis 1 (weeks 1 and 2): Understand and measure mobility: mobility data, quantitative and qualitative analyses, measuring impact.
Some possible topics :
State of the art, available data
Quantitative, qualitative data, needed for sociological analysis
Legal aspects, open data governance.
