Periodic Reporting for period 1 - CulturalRoad (Cocreate, Embrace)
Período documentado: 2024-05-01 hasta 2025-10-31
The overall objective of CulturalRoad is to leverage co-creation activities, to increase social acceptance and awareness of Connected and Automated Vehicles. The project will create key performance indicators and planning tools to ensure that the proposed solutions are equitable, tailored to the local needs, and transferable to different contexts. This objective is met by developing the three research concepts proposed in the previous sub-section and testing them in real-world in five demonstration sites.
The aim of the research is to understand how geographical diversity, cultural diversity, and exogenous (other factors) will affect the potential uptake of connected and automated vehicles. Research will be focused on three concepts:
Research Concept 1. Five-Pointed Star Rating System: development of a rating system that can measure CCAM-based solutions’ contribution to mobility equity accounting for cultural, geographical, and exogenous diversity, and that is based on five pillars: inclusivity, network optimization, psychological factors, safety, and acceptance.
Research Concept 2 – Participatory co-creation: design a quadruple innovation helix participatory planning framework to reach out to all stakeholders in the CCAM ecosystem, with the goal long- and short-term deployment strategies that are well understood by all involved parties.
Research Concept 3 – Fair and diverse CCAM solutions: Develop methods that incorporate cultural and geographical diversity, and that can be used to prepare a toolkit of guidelines and standards for the deployment of CCAM including the application and use of the Five-Pointed Star Rating System.
The aim of the research is to understand how geographical diversity, cultural diversity, and exogenous (other factors) will affect the potential uptake of connected and automated vehicles. Research will be focused on three concepts:
Research Concept 1. Five-Pointed Star Rating System: development of a rating system that can measure CCAM-based solutions’ contribution to mobility equity accounting for cultural, geographical, and exogenous diversity, and that is based on five pillars: inclusivity, network optimization, psychological factors, safety, and acceptance.
Research Concept 2 – Participatory co-creation: design a quadruple innovation helix participatory planning framework to reach out to all stakeholders in the CCAM ecosystem, with the goal long- and short-term deployment strategies that are well understood by all involved parties.
Research Concept 3 – Fair and diverse CCAM solutions: Develop methods that incorporate cultural and geographical diversity, and that can be used to prepare a toolkit of guidelines and standards for the deployment of CCAM including the application and use of the Five-Pointed Star Rating System.
CulturalRoad has carried out a review of existing standards and pilots: this report studied fourteen European projects to find common ground and challenges related to deployment of CCAM in different regulatory and geographical environments.
A two-step cocreation framework has been developed, where the first step engages stakeholders and the second step engages the public.
Research to date has focused on developing the draft pillars for the five pointed rating system:
Inclusivity Pillar, the aim is to evaluate the degree to which CCAMs designs or implementations account for the needs of disadvantaged populations and follow ethical principles. Dimensions covered: spatial-temporal accessibility, physical accessibility, digital accessibility, affordability, actual security/safety measures, other ethical issues
Network Optimization Pillar, the aims are to design transport networks that support safe, efficient, and precise CCAM operation, ensuring equitable and diverse access. It does this through analytical models of routing /optimization and simulations of large-scale networks, optimization, schedule- and frequency-based services, CCAM as a first-/last-mile service.
Acceptance Pillar, the aim is to evaluate the degree to which different cultural and geographical user groups will accept and adopt CCAM solutions. Literature shows the following factors to influence CCAM acceptance: Attitudinal factors: social norms, economic conditions, attitudes towards technology, technology literacy, and performance efficiency; Sociodemographic factors: age, gender, education, employment, income, ethnicity, family size, driving experience and vehicle ownership. CulturalRoad has developed a 2-part travel behaviour survey in collaboration with the Psychological Factors Pillar to quantify the influence of attitudinal and sociodemographic characteristics on CCAM acceptance in all Pilot cities of the project. The survey has been developed using formalised methods belonging to the class of Technology Acceptance Models (TAMs) and the Stated Preference (SP) modelling framework.
Safety Pillar, the aim is to ensure that CCAM systems deliver demonstrable and equitable safety benefits by minimizing crash risks through reliable V2X communication, robust cybersecurity, user trust and risk awareness, and infrastructure readiness that supports safe outcomes for all road users. Like the Network Optimisation Pillar, analytical and simulation models are used. Along with data-driven analysis using crash databases, telematics, and simulation tools (AIMSUN, SSAM)
Psychological Factors Pillar aim to examine how psychological factors such as trust in automation, perceived safety, and affinity for technology shape user engagement with CCAM across diverse cultural and geographical contexts. Literature shows the following factors to influence user interaction with CCAM systems: Psychological factors: trust in automation, perceived safety, perceived risk, affinity for technology and personality and Country-related factors: sociability, inquisitiveness, unconventionality, and uncertainty avoidance. Methodology: Developed jointly with the Acceptance Pillar, our survey integrates TPB and TAM constructs to capture psychological determinants of CCAM engagement. Data will be analysed through Structural Equation Modelling (SEM) to examine interrelations among key factors across pilot cities.
A two-step cocreation framework has been developed, where the first step engages stakeholders and the second step engages the public.
Research to date has focused on developing the draft pillars for the five pointed rating system:
Inclusivity Pillar, the aim is to evaluate the degree to which CCAMs designs or implementations account for the needs of disadvantaged populations and follow ethical principles. Dimensions covered: spatial-temporal accessibility, physical accessibility, digital accessibility, affordability, actual security/safety measures, other ethical issues
Network Optimization Pillar, the aims are to design transport networks that support safe, efficient, and precise CCAM operation, ensuring equitable and diverse access. It does this through analytical models of routing /optimization and simulations of large-scale networks, optimization, schedule- and frequency-based services, CCAM as a first-/last-mile service.
Acceptance Pillar, the aim is to evaluate the degree to which different cultural and geographical user groups will accept and adopt CCAM solutions. Literature shows the following factors to influence CCAM acceptance: Attitudinal factors: social norms, economic conditions, attitudes towards technology, technology literacy, and performance efficiency; Sociodemographic factors: age, gender, education, employment, income, ethnicity, family size, driving experience and vehicle ownership. CulturalRoad has developed a 2-part travel behaviour survey in collaboration with the Psychological Factors Pillar to quantify the influence of attitudinal and sociodemographic characteristics on CCAM acceptance in all Pilot cities of the project. The survey has been developed using formalised methods belonging to the class of Technology Acceptance Models (TAMs) and the Stated Preference (SP) modelling framework.
Safety Pillar, the aim is to ensure that CCAM systems deliver demonstrable and equitable safety benefits by minimizing crash risks through reliable V2X communication, robust cybersecurity, user trust and risk awareness, and infrastructure readiness that supports safe outcomes for all road users. Like the Network Optimisation Pillar, analytical and simulation models are used. Along with data-driven analysis using crash databases, telematics, and simulation tools (AIMSUN, SSAM)
Psychological Factors Pillar aim to examine how psychological factors such as trust in automation, perceived safety, and affinity for technology shape user engagement with CCAM across diverse cultural and geographical contexts. Literature shows the following factors to influence user interaction with CCAM systems: Psychological factors: trust in automation, perceived safety, perceived risk, affinity for technology and personality and Country-related factors: sociability, inquisitiveness, unconventionality, and uncertainty avoidance. Methodology: Developed jointly with the Acceptance Pillar, our survey integrates TPB and TAM constructs to capture psychological determinants of CCAM engagement. Data will be analysed through Structural Equation Modelling (SEM) to examine interrelations among key factors across pilot cities.
CulturalRoad goes beyond the state of the art by introducing three main groundbreaking research and innovation concepts, which correspond to the three research concepts: Firstly, CulturalRoad develops a methodological link between mobility equity and cultural diversity, a fundamental aspect missing in previous projects. Secondly, CulturalRoad introduces an innovative way to use participatory planning to plan CCAM deployment plans. This new approach will help the industry to develop market-ready solutions, citizens to have mobility services aligned with their needs, and policy makers to develop CCAM
plans that are better aligned with their long and short term goals. Thirdly, cultural and geographical diversity will be internalized into different methodologies able to evaluate safety, inclusiveness, network readiness, user acceptance, and psychological factors.
plans that are better aligned with their long and short term goals. Thirdly, cultural and geographical diversity will be internalized into different methodologies able to evaluate safety, inclusiveness, network readiness, user acceptance, and psychological factors.