Periodic Reporting for period 1 - AMIGOS (Active Mobility Innovations for Green and safe city sOlutionS)
Période du rapport: 2023-06-01 au 2024-11-30
The AMIGOS project aims to support cities in achieving carbon neutrality by developing sustainable and inclusive urban mobility solutions. The focus is on promoting zero-emission and active mobility modes that are safe, affordable, and tailored to users' needs. The project works with 10 cities, 5 of which serve as Living Labs (LLs), as well as on a specific urban area in each city - Safety Improvement Areas (SIAs) to address current and future mobility challenges through co-creation activities and the use of innovative digital tools. These tools include a Mobility Observation Box (MOB) and a mobility data collection app (Fotefar), results from which will feed into a big data platform and real-time analytics, in addition to digital twins for scenario visualization.
The project’s objectives are to reduce traffic congestion, increase the use of public and active mobility modes, enhance safety and improve cohabitation between different mobility types. It involves key stakeholders, including public authorities and vulnerable users, to co-develop solutions that address mobility and accessibility challenges and evaluate their environmental, safety, economic and social impacts. The project will assess the medium- and long-term effects of these solutions, as well as their replicability in other cities, ensuring broader scalability and sustainability, notably expected in the 5 Twin cities.
The project’s objectives are to reduce traffic congestion, increase the use of public and active mobility modes, enhance safety and improve cohabitation between different mobility types. It involves key stakeholders, including public authorities and vulnerable users, to co-develop solutions that address mobility and accessibility challenges and evaluate their environmental, safety, economic and social impacts. The project will assess the medium- and long-term effects of these solutions, as well as their replicability in other cities, ensuring broader scalability and sustainability, notably expected in the 5 Twin cities.
Preliminary data analysis and stakeholder engagement have outlined mobility, safety and accessibility challenges and environments for 10 partner cities, further supported by the results from the deployed MOBs. A mobility survey conducted across all partner cities gathered insights into mobility preferences, with participants encouraged to use the Fotefar app for automatic travel tracking. In addition, a big data platform was developed, gathering and processing information on all cities, which would later on serve to conduct real-time analytics, starting with the already developed model for Hamburg.
An engagement strategy was developed and implemented to more easily involve stakeholders, laying the groundwork for the co-creation phase. A co-creation methodology was developed to help cities conduct workshops with local stakeholders to co-design and develop innovative solutions, integrating data models into the process. So far 6 cities have conducted a co-creation workshop. Collaboration with LLs and SIAs resulted in the design of Urban General Models (UGMs) which are developed as a foundation for creating digital twin models for 2 LLs (GABR and LRZINN), as well as for 1 SIA (FHH).
The project has been promoted through various channels, including a regularly updated website, communication materials such as leaflets and roll-ups, and a LinkedIn account. Partners also participated in webinars and conferences, as well as CIVITAS events.
A Quality and Risk management plan offers guidance for collaboration and communication on a project level, as well as risk mitigation and adaptation. A Data Management Plan has been created and refined, in addition to an Innovation Management Plan to support the project's objectives.
An engagement strategy was developed and implemented to more easily involve stakeholders, laying the groundwork for the co-creation phase. A co-creation methodology was developed to help cities conduct workshops with local stakeholders to co-design and develop innovative solutions, integrating data models into the process. So far 6 cities have conducted a co-creation workshop. Collaboration with LLs and SIAs resulted in the design of Urban General Models (UGMs) which are developed as a foundation for creating digital twin models for 2 LLs (GABR and LRZINN), as well as for 1 SIA (FHH).
The project has been promoted through various channels, including a regularly updated website, communication materials such as leaflets and roll-ups, and a LinkedIn account. Partners also participated in webinars and conferences, as well as CIVITAS events.
A Quality and Risk management plan offers guidance for collaboration and communication on a project level, as well as risk mitigation and adaptation. A Data Management Plan has been created and refined, in addition to an Innovation Management Plan to support the project's objectives.
The project introduced a novel design method using the Design Science Research (DSR) approach, which integrates technological and human-centric elements to enhance policymaking by considering human behaviour and social contexts. The MOB data collection system, using image-based sensors for autonomous traffic participant behaviour detection, complies with GDPR/NIS2 regulations and supports microscopic transport planning. A “Holistic Big Data Platform” was also established, enabling scalable processing and analysis of diverse mobility datasets to offer insights for urban planning. Additionally, an advanced discrete choice model (the Stated Preference Survey (SP)) was created using survey data to understand travellers’ behaviour in response to factors like travel time, cost, and infrastructure changes, guiding interventions for pilot testing.
Through a newly developed co-creation methodology based on gaming inspirations, workshops have enabled stakeholders, including cities and communities, to engage in solution design, ensuring that proposed urban interventions align with real-world needs.
The UGM has been integrated into the process of creating digital twin models for 3 cities and serves as a framework that bridges data from diverse sources, enabling the development of tailored digital twins for LLs and SIAs. The exploration of interoperability between diverse data models of digital twins will continue to address complex urban scenarios.
The Fotefar application has facilitated high resolution data. This type of collection system is not open-source or commercially available and provides data which was previously unavailable or unmanageable. The data collection may also be able to give a better insight into the travel behaviour in a larger scale study.
The project has actively increased awareness and communication for its objectives, particularly through online channels and events. These initiatives have focused on engaging citizens and policymakers, emphasizing the importance of sustainable mobility solutions. The project has worked to establish synergies with other related initiatives, leveraging existing research to enhance the impact of AMIGOS in advancing sustainable urban mobility.
At the end of the project, the expected results will include a suite of data-driven tools, models, and methodologies that can guide cities in implementing sustainable and inclusive urban mobility solutions. These results are designed to have a lasting impact on urban mobility, helping cities to reduce congestion, promote active and public transport, and enhance safety and accessibility for all citizens.
Through a newly developed co-creation methodology based on gaming inspirations, workshops have enabled stakeholders, including cities and communities, to engage in solution design, ensuring that proposed urban interventions align with real-world needs.
The UGM has been integrated into the process of creating digital twin models for 3 cities and serves as a framework that bridges data from diverse sources, enabling the development of tailored digital twins for LLs and SIAs. The exploration of interoperability between diverse data models of digital twins will continue to address complex urban scenarios.
The Fotefar application has facilitated high resolution data. This type of collection system is not open-source or commercially available and provides data which was previously unavailable or unmanageable. The data collection may also be able to give a better insight into the travel behaviour in a larger scale study.
The project has actively increased awareness and communication for its objectives, particularly through online channels and events. These initiatives have focused on engaging citizens and policymakers, emphasizing the importance of sustainable mobility solutions. The project has worked to establish synergies with other related initiatives, leveraging existing research to enhance the impact of AMIGOS in advancing sustainable urban mobility.
At the end of the project, the expected results will include a suite of data-driven tools, models, and methodologies that can guide cities in implementing sustainable and inclusive urban mobility solutions. These results are designed to have a lasting impact on urban mobility, helping cities to reduce congestion, promote active and public transport, and enhance safety and accessibility for all citizens.