Towards world first class mobility information in Ile de France : Project MI 2 (Mobilité Intégrée en Ile de France integrated mobility in Ile de France)
The 10 key points of mobility 1. 98% of travels are local i.e. < 80 km. Mobility services are focused in the heart of the cities, the problems are outside the ring roads. 2. Car use represents 50 to 60% of modal shift in European conurbations. In France 75% of people use their car to go to work, 11% public transport : Not including car use in multimodal information and ticketing is a strategic mistake. 3. Excessive use of car are important leaving place for improvements : more than 50% of travel by car are < 3 km in European citites, Car occupancy is around 1 during rush hours.. Modal shares in Métropole de Lyon 2
The 10 key points of mobility 4. Car usage cost is going to be divided per 2. with plugin hybrid cars for cities (2019/2020). Thus the usage cost of car will be very close of PT one (0,22 versus 0,10 /km) Certain increase of car usage if nothing is done 5. Stakeholders objectives: End users focus on travel times and costs Public policy on accessibility to homes, jobs, shops, with 3 constraints : public space scarcity in dense areas, public funds scarcity mobility impacts on the environment. Mobility services providers focus on increase of users/clients and cost reductions Minutes of minimal wages to buy 1l of gasoline Hours of minimal wages to buy a basic car year year 3
The 10 key points of mobility 6. We are in a time of perennial public funds scarcity. Unbalance PT funding in France : End users pays in average 25% of the operating costs, (70% in 1975), with some exception (Lyon : 60%). Numerous private initiatives, from digital startips, but business models are difficult to find. 7. Institutional split: Numerous communes in France, inducing complex governance at metropolis and urban areas scale. 8. Digital tools should be for every one not for some happy fews, high revenues and social classes 9. Google ecosystem (Google, waze, moovit, citymapper) has a monopolistic position with the objective to collect personal data and avoid competitors to come in the market 10. Local PT brand are as knowed as Google, as well as car manufacturers 4
The 4 pilars of an urban mobility policy Build credible alternatives to excessive use of individual car use : modal shift must be possible Very good transport infrastructures Optimal operation of infrastructures New transport services : freebike sharing services, carsharing, carpooling, Move from a «silo» logic to an integrated logic : Connect transport modes : Inform users, access to mobility services in an unified way Act on individual behaviours is Acting on travel timles and their perception, for each mode, Acting on prices Acting on their representations 5 5
Travel information overview in Ile de France SYTADIN RATP VIANAVIGO Waze, Vtrafic, Viamichelin Citymapper, Moovit Google Journey planner modes Information on modes Completness: -Géographical -Time (historical, théorical, real time, prédictive) Confort Tracking Modal share addressed 40% 20% 20% 40% 20% 60% The information on the different mobility solutions is rich in Ile France, but fragmented, incomplete, obliging users to shift among numerous web sites and mobile apps. This has no impacts on mobility habits Car use is missing on apps of public transport, although it is the main target of modal split Google ecosystem apps are rich and efficient, with a strategy of capturing personnal data and for some with the idea to be bought by internet big players (GAFA), like waze did. Google does not manage intermodality 6
Set up the most effective traveller information system that has ever been built Existing data Predictive, and multimodal GPS, with an interface with in car systems, including dynamic car pooling Crowd sourcing on PT and road Travel time reliability and real time timetables at stops Predictifve information on all modes NEW DATA MOBILITY PORTAL Tourist Navigatort Mobility advisor tool- Public policy evaluation tool on passenger and freight Networks oprimisation through predictive information UNIQUE SERVICES Using users to enrich the mobility data Unequalled reliability of travel times and real time information All mobility data of Ile de France, hundreds of millions data/day: the biggest mobility data store in the world First european or world trials Using the best and most reliable information services 7
Partners Partners: AOM CEF funding perimeter Coordination: STIF with Transdev support (J Coldefy) + startups for various tools been integrated into the multimodal GPS 10 M project, CEF contribute to 3.8 M, partners bring the remaining part 8
Conclusion An innovation project providing solutions all users are waiting for long time. A real impact on mobility behaviours An exemplary cooperation among public and private actors, breaking the silos among car and other transports modes, among start up solutions and big companies ones. Higly supported by STIF Use of European standards, allowing a high replicability potential A way of working allowing speed, innovation, saving public money with involvement of assets and dynamics of all actors public and private Without the CEF this project would not have been launched 98% of mobility is local, the money should be allocated where the needs are. EC should set up a major urban mobility project, to speed up the digital tools widespread in an unified way, allowing a real digital mobility tools market at European level 9