Supporting decision-making in URBAN transformation with the use of disruptive Technologies
- WHO: Municipality of Amsterdam, Waag Futurelab, Tecnalia, Alma Digit, Municipality of Messina ENGINEERING, Forum Virium Helsinki, Fraunhofer Gesellschaft zur Förderung der Angewandten Forschung, Institut Jozef Stefan, Municipality of Bilbao, Asociacion Cluster de Movilidad y Logistica de Euskadi
- WHERE: Amsterdam, Bilbao, Helsinki, and Messina.
- DURATION: 3 years, starting April 2020
- AMSTERDAM'S ROLE: Amsterdam is a partner in this project
- TOTAL BUDGET: 3,954,062 euros
- AMOUNT FOR AMSTERDAM: 207,687 euros
With URBANITE, the Municipality of Amsterdam continues its research on how citizens can participate in shaping the Amsterdam approach to mobility and data. Citizens, policymakers, and other stakeholders will jointly create new methods for this participation, such as commons-based approaches to data governance and an online accessible data and mobility hub.
URBANITE stems from the need for a platform that can extract, merge, and manage data from various sources. It should be capable of gathering knowledge to aid decision-making processes, simulate solutions, and anticipate behaviors and unforeseen events. Furthermore, such an intelligent platform can promote collaboration between departments by breaking down silos.
URBANITE analyzes the integration of technologies such as AI, DSS, big data analysis, and predictive algorithms in a data-driven decision-making process. To this end, it will provide recommendations, pathways, and toolkits (both ICT-based such as data management platforms and DSS, and non-ICT such as co-creation activities) for officials and policymakers.
The project has achieved the following key results:
- Social Policy Laboratories (SoPoLab): a digital co-creation environment and a set of approaches to design and co-create policy guidelines with all involved actors.
- Data management platform: a platform supporting the entire data processing chain, from collection and processing to data utilization.
- Decision support system: powerful analysis tools combining multiple data sources with advanced algorithms, simulations, recommendations, and advanced visual analysis.
- Recommendations and pathways: pathways to provide government agencies with guidelines for adopting disruptive technologies and data in their policymaking processes.
The URBANITE platform is locally tailored to the specific needs, objectives, and requirements of the pilot locations:
[Amsterdam] A bicycle-friendly city: improving comfort levels by managing the "flows" of cyclists in the city and preventing bicycle congestion and risky (safety-related) situations, also using participatory methods with residents.
[Helsinki] Integrating mobility data into traffic planning: ensuring that traffic data becomes part of the daily life of traffic and urban planning experts and officials.
[Bilbao] Citizen-centric spaces: analyzing the potential effects of a decrease in private vehicle traffic movements, while simultaneously addressing existing challenges such as insufficient volume and quality of data, trust in data exploitation methods, and interoperability.
[Messina] Building a multimodal city: creating mobility services that can meet the needs of citizens, residents, commuters, and visitors, enabling them to move optimally in the city. Optimizing mobility and integrating multimodal transport services for the city.
The project is explained in the video below:
Source: Waag | Urbanite
Source: URBANITE H2020 project video - YouTube
