cityclimAIt – Study on AI applications to achieve and support climate-neutral cities
Recommendation catalogue and tool for AI technologies that support planning, monitoring and forecasting services of city administrations, transport and spatial planning as well as companies on the way to a climate-neutral city
Technological developments in the field of artificial intelligence are extremely dynamic. Hardly any other technology advances so rapidly. Furthermore, climate change is one of the greatest global challenges of our time; it is being accelerated by the economic practices and lifestyles of modern societies in particular.
It is therefore essential to identify, document and evaluate current and foreseeable developments in this area at an early stage and derive recommendations for decision-makers. In order to realize positive effects in terms of sustainable development, steering and regulatory measures are needed. To this end, implementations and findings from various AI applications must be systematically documented, analysed and evaluated.
Through a detailed analysis based on international and national best and good practices as well as the existing framework conditions, gaps can be identified, potentials assessed and a recommendation catalogue for future implementations will be developed.
The main result of cityclimAIte is to identify and evaluate AI application possibilities in the urban context, such as in the areas of traffic and urban planning, energy efficiency and waste management. A structured review of potential AI use cases will be carried out and a transferable and scalable recommendation catalogue for implementation and impact-oriented application and transfer to Austrian cities will be developed.
The central task of this study is to provide decision-makers with a comprehensive overview of all the above-mentioned aspects and to derive recommendations for the efficient use and benefits of AI based on the estimated effects. The aim is to strengthen national value chain in this field of technology through appropriate, supportive framework conditions.
The innovation research department of Salzburg Research supports this study with method-knowhow, conception, development and testing of a web-based recommendation catalog and tool for AI technologies.
