PRIAM

Planning Regional-Scale Multimodal Operations for Innovative Air Mobility Services

PRIAM

Planning Regional-Scale Multimodal Operations for Innovative Air Mobility Services

PRIAM developed a data analytics and modelling toolset that supports a passenger-centric integration of Integrated Air Mobility (IAM)  into multimodal regional transport networks across Europe. PRIAM followed a holistic approach to IAM, covering several aircraft types (e.g., VTOL, STOL), associated operational sites (e.g., vertiports, regional airports) and business models (e.g., scheduled, on-demand).

Project impacts

Define

an impact assessment framework for regional IAM services that evaluates how different IAM vehicular concepts and business models address regional connectivity challenges and passenger needs.

Develop and validate

a concept outline for PRIAM, consisting of a data analytics and modelling SESAR Solution for planning the integration of IAM infrastructure and services into regional multimodal transport networks.

Evaluate

the capabilities of PRIAM through a set of case studies in European regions that show how the PRIAM Solution can help IAM regional-scale services improve passenger experience, capacity, environmental sustainability, and operational and cost efficiency.

Derive

a set of recommendations for implementing regional IAM services, based on a cost-benefit analysis that anticipates the impacts of a large-scale deployment of IAM services across Europe.

Project impacts

Define

an impact assessment framework for regional IAM services that evaluates how different IAM vehicular concepts and business models address regional connectivity challenges and passenger needs.

Develop and validate

a concept outline for PRIAM, consisting of a data analytics and modelling SESAR Solution for planning the integration of IAM infrastructure and services into regional multimodal transport networks.

Evaluate

the capabilities of PRIAM through a set of case studies in European regions that show how the PRIAM Solution can help IAM regional-scale services improve passenger experience, capacity, environmental sustainability, and operational and cost efficiency.

Derive

a set of recommendations for implementing regional IAM services, based on a cost-benefit analysis that anticipates the impacts of a large-scale deployment of IAM services across Europe.

HAIKAI’s role in the project:

In the project, HAIKAI is in charge of developing and applying an AI algorithm to understand the factors that may affect IAM acceptance by different target users. The method will take as input passenger surveys and compute the User Propensity Level (i.e., the degree of willingness and interest to use the future system) and the Service Adoption Level (i.e., the measure of the preparedness and timing to engage with the service). Machine and statistical learning will be applied to cluster target users and generate groups based on the level of acceptance and propensity to use.

Project Outcomes:

The PRIAM Solution will help understand passenger needs for regional travel, anticipate IAM adoption and use patterns, plan resilient IAM infrastructure networks that are seamlessly connected with other transport modes and optimise IAM service performance taking advantage of multimodal data sharing and passenger information systems.