Periodic Reporting for period 1 - Diversify - CCAM (DIVERSIFY CCAM BY INTEGRATING THE EUROPEAN CULTURAL AND REGIONAL VARIATIONS IN THE DESIGN AND IMPLEMENTATION OF CITIZEN-FRIENDLY SYSTEMS TO FOSTER MOBILITY EQUITY)
Período documentado: 2024-06-01 hasta 2025-11-30
CCAM solutions face a significant challenge characterized by decreased societal demand due to their difficulty in effectively conveying their advantages within existing mobility systems and adapting to the diverse environments where citizens live, work, and conduct their daily activities. Diversify-CCAM has the clear objective to promote fair and accessible mobility in European regions by integrating cultural, geographical and policy aspects into the design, development and implementation of CCAM solutions. The project encompasses 6 European countries (Czech Republic, Greece, Italy, Germany, Spain, Sweden), collectively hosting 12 pilot sites dedicated to data collection and urban environments equipped with existing CCAM solutions and another focusing on mixed transport (people and small goods) solutions within rural or touristic areas primarily reliant on private cars.
Diversify-CCAM will deepen our understanding of the diverse social contexts that influence the acceptance, adoption, and utilization of CCAM. Moreover, the project will study the surmount challenges and barriers hindering the effectiveness of shared services, especially in regions with unique geographical and cultural demands.
The methodological approach involves the engagement of various user groups and stakeholders at the local level, extending their involvement to the European and international spheres through PAVE and our distinguished Stakeholder Board. This multifaceted involvement aims to positively influence public perception and reimagine the overall design and offerings of CCAM solutions. Ultimately, the project will develop a CCAM Diversification Tool (CCAM D-Tool) for transportation planners and a CCAM Diversity Observatory for the entire CCAM value chain, both focusing on achieving inclusiveness and equity within the European mobility ecosystem.
The project is build around 5 Main strategic objectives:
SO#1: Study the cultural, geographical and policy aspects that affect the social acceptance, usage and deployment of CCAM solutions: To explore the potential impact of cultural, geographical and policy particularities on transport and mobility systems (including infrastructures, travel needs, attitudes, and behaviours), with a specific focus on their implications for CCAM systems and develop context-specific diversification models that can feed the definition of diversification standalone and composite metrics.
SO#2 Create and evaluate iteration-driven methodological tools and apply them for data collection, disaggregation and correlation with real end-users at 6 European countries and 12 local contexts: To develop a methodology for disaggregated data collection and evaluation along with the required tools to support digital data entry and validation techniques for data quality monitoring and analysis to be applied, evaluated and updated in the 12 pilot sites.
SO#3: Study the influence of diversification factors on CCAM impact areas: To develop a CCAM impact assessment framework based on existing knowledge that ensures the fair integration of cultural, geographical and policy factors in CCAM systems.
SO#4: Develop a live knowledge transferability mechanism on recurring diversification patterns affecting CCAM deployment in specific local contexts: To create a knowledge transferability mechanism on the influence of cultural, geographical and policy factors on CCAM solutions for CCAM developers, policy makers and implementers.
SO#5: Sustainable short and mid-term valorisation and governance models for mobility equity: To create a governance strategy that will foster the collaboration between the stakeholders of the CCAM ecosystem and develop business models applied to the context and peculiarities of the project pilot sites.
Diversify-CCAM will deepen our understanding of the diverse social contexts that influence the acceptance, adoption, and utilization of CCAM. Moreover, the project will study the surmount challenges and barriers hindering the effectiveness of shared services, especially in regions with unique geographical and cultural demands.
The methodological approach involves the engagement of various user groups and stakeholders at the local level, extending their involvement to the European and international spheres through PAVE and our distinguished Stakeholder Board. This multifaceted involvement aims to positively influence public perception and reimagine the overall design and offerings of CCAM solutions. Ultimately, the project will develop a CCAM Diversification Tool (CCAM D-Tool) for transportation planners and a CCAM Diversity Observatory for the entire CCAM value chain, both focusing on achieving inclusiveness and equity within the European mobility ecosystem.
The project is build around 5 Main strategic objectives:
SO#1: Study the cultural, geographical and policy aspects that affect the social acceptance, usage and deployment of CCAM solutions: To explore the potential impact of cultural, geographical and policy particularities on transport and mobility systems (including infrastructures, travel needs, attitudes, and behaviours), with a specific focus on their implications for CCAM systems and develop context-specific diversification models that can feed the definition of diversification standalone and composite metrics.
SO#2 Create and evaluate iteration-driven methodological tools and apply them for data collection, disaggregation and correlation with real end-users at 6 European countries and 12 local contexts: To develop a methodology for disaggregated data collection and evaluation along with the required tools to support digital data entry and validation techniques for data quality monitoring and analysis to be applied, evaluated and updated in the 12 pilot sites.
SO#3: Study the influence of diversification factors on CCAM impact areas: To develop a CCAM impact assessment framework based on existing knowledge that ensures the fair integration of cultural, geographical and policy factors in CCAM systems.
SO#4: Develop a live knowledge transferability mechanism on recurring diversification patterns affecting CCAM deployment in specific local contexts: To create a knowledge transferability mechanism on the influence of cultural, geographical and policy factors on CCAM solutions for CCAM developers, policy makers and implementers.
SO#5: Sustainable short and mid-term valorisation and governance models for mobility equity: To create a governance strategy that will foster the collaboration between the stakeholders of the CCAM ecosystem and develop business models applied to the context and peculiarities of the project pilot sites.
During the first 18 Months all 5 Strategic objectives have been worked with the main achievements as follows:
SO#1
Literature review performed
Local stakeholder interviews at all 12 pilot sites
Survey based analysis using >6000 answers
Expert assessment on mock-ups
Key factors identified for the concept model
Conceptual basis for the modelling
Hierarchical taxonomy for cultural, geography and policy translated into a machine-readable ontology
Creation of cultural, geography and policy indices
Site and service specific CCAM alignment indices.
Conceptual model operational data structure, different language, fusion of data (objective qualitative and external datasets.
SO#2
Evaluation methodology defined and Tools and processes used at all sites
Baseline survey creation using T2.1 and T2.2 output
Digital data collection tool including survey in different languages, data collection progress, data storages, support for data cleaning, etc.
Finalised baseline data collection (>6000 answers) empirical basis for Diversification model analysis. Cross pilot analysis and intersectional analysis.
SO#3
Literature review on existing frameworks for impact evaluation
Developing an Impact assessment framework covering: acceptance, usage and uptake; safety, security and environmental impacts; and business and economic impacts and explicitly embeds equity and inclusiveness considerations across all dimensions.
Definition of research questions, KPIs and indicators, the selection of suitable assessment methodologies and alignment with diversity indices from WP2 and WP3
SO#4
Developed a methodological and conceptual foundations for a live knowledge transferability mechanism.
Knowledge Transfer (KT) mechanism framework was developed, defining the processes for knowledge collection, organisation, evaluation, and sharing across stakeholder groups.
Initial mock-ups of stakeholder-tailored tools were coordinated, and a first round of stakeholder feedback was collected during a dedicated workshop at the 2nd Stakeholder Board meeting in Rhodes.
Best practices and transferability mechanism framework was developed
SO#5
Establishment of the communication, stakeholder engagement, and governance foundations required to support future valorisation and inclusive governance models for CCAM systems.
A dedicated communication and dissemination strategy was developed
Dissemination KPIs and mitigation measures was monitored and documented
Enabled early and structured stakeholder engagement across European and international contexts
Engagement of internal and external stakeholders providing feedback during the development phase of the D-tool
SO#1
Literature review performed
Local stakeholder interviews at all 12 pilot sites
Survey based analysis using >6000 answers
Expert assessment on mock-ups
Key factors identified for the concept model
Conceptual basis for the modelling
Hierarchical taxonomy for cultural, geography and policy translated into a machine-readable ontology
Creation of cultural, geography and policy indices
Site and service specific CCAM alignment indices.
Conceptual model operational data structure, different language, fusion of data (objective qualitative and external datasets.
SO#2
Evaluation methodology defined and Tools and processes used at all sites
Baseline survey creation using T2.1 and T2.2 output
Digital data collection tool including survey in different languages, data collection progress, data storages, support for data cleaning, etc.
Finalised baseline data collection (>6000 answers) empirical basis for Diversification model analysis. Cross pilot analysis and intersectional analysis.
SO#3
Literature review on existing frameworks for impact evaluation
Developing an Impact assessment framework covering: acceptance, usage and uptake; safety, security and environmental impacts; and business and economic impacts and explicitly embeds equity and inclusiveness considerations across all dimensions.
Definition of research questions, KPIs and indicators, the selection of suitable assessment methodologies and alignment with diversity indices from WP2 and WP3
SO#4
Developed a methodological and conceptual foundations for a live knowledge transferability mechanism.
Knowledge Transfer (KT) mechanism framework was developed, defining the processes for knowledge collection, organisation, evaluation, and sharing across stakeholder groups.
Initial mock-ups of stakeholder-tailored tools were coordinated, and a first round of stakeholder feedback was collected during a dedicated workshop at the 2nd Stakeholder Board meeting in Rhodes.
Best practices and transferability mechanism framework was developed
SO#5
Establishment of the communication, stakeholder engagement, and governance foundations required to support future valorisation and inclusive governance models for CCAM systems.
A dedicated communication and dissemination strategy was developed
Dissemination KPIs and mitigation measures was monitored and documented
Enabled early and structured stakeholder engagement across European and international contexts
Engagement of internal and external stakeholders providing feedback during the development phase of the D-tool
During the first 18 months a concept and an ontology integrating identified factors on Geography, Cultural and Policy perspective for usage of CCAM services has been developed.
A tool for data collection to support the conceptual model was developed and used to collect more than 6000 answers.
A first version of a D-tool was developed in close collaboration with internal and external stakeholders. This is the operationalisation of the results from the concept model and the results from the first Baseline data collection.
A tool for data collection to support the conceptual model was developed and used to collect more than 6000 answers.
A first version of a D-tool was developed in close collaboration with internal and external stakeholders. This is the operationalisation of the results from the concept model and the results from the first Baseline data collection.