Directory

AIR – AI-basierter Recommender für nachhaltigen Tourismus

  • Kiel (Location of the Network Coordinator), Germany
  • January 2022
  • It is a joint project. The coordinator is the NIT in Kiel.
In the project, the core elements of a visitor management system (frequency measurement, data provision, modelling/alternative generation and touchpoint management/deployment) are described and conceptualised and then implemented in six use cases for application research, investigated in terms of integration capability and evaluated. The use cases are located in the Allgäu, in the Ruhr area, in the Sauerland and on the North Sea and Baltic Sea coast of Schleswig-Holstein. Artificial intelligence (AI) methods are used at various points in this project, such as in the use of smart sensors for frequency measurement, in the modelling and forecasting of utilisation scenarios and in the generation and playout of recommendations to users.
  • Open source
  • 75/25/0 (% m/f/d)
  • AIR is part of the funding programme "KI-Leuchttürme für Umwelt, Klima, Natur und Ressourcen" by the German Federal Ministry for the Environment, Nature Consveration, Nucelar Safety and Consumer Protection (grant 67KI21005).

Project stage (in ):

Implemented/Running Project

Implemented by:

Inhouse

Industrial Sectors:

Professional, scientific and technical activities, Other service activities, Tourism

Usage of AI:

Data Management and Analysis, Generative Models

Contact

Responsible Person

PT Zukunft - Umwelt - Gesellschaft (ZUG) gGmbH (lead partner)

Motivation and values

What in your view defines the public interest and how does your project meet this purpose?

In destinations where the number of visitors at certain locations increases to a critical level, equalisation of visitor flows has a positive impact on the interaction between visitors and guests.

How did the idea of your project come about?

From an outside request

What is the goal of your project in relation to the public interest?

The overall objective of the AIR project is to contribute to a more sustainable tourism development by equalising visitor flows. Specifically, AI-based procedures are to be researched, developed, implemented and evaluated that help to avoid the temporary congestion of travel and excursion destinations through targeted visitor information and to identify suitable alternatives.

Design & Safeguards

Which stakeholders were involved in the process of development and implementation of the project?

Developer, Public administration, Academic researcher

How did you engage relevant stakeholders?

Workshops

Have the project results been validated by third parties?

Unknown

Have the design and the results of the project been made transparent to the public?

Unknown

Involving the people who will be affected by the project is a necessary part of the project design

5

Which transparency measures do you use to document your use of data and possible biases or limitations of the data sets?

Data sheets

Do you take measures in regards to ecological sustainability of your project? Please elaborate.

Indirectly, equalisation of visitor flows contributes to environmental sustainability, as otherwise highly frequented locations are selectively relieved.