Urban Planning and Intelligent Systems

The field of urban planning is shifting towards a more multidimensional and data-driven approach, incorporating artificial intelligence and citizen-centric frameworks to enhance liveability and comfort. Researchers are exploring new methodologies for assessing urban comfort, including the use of AI-assisted tools and participatory sensing. There is also a growing interest in affective interaction design in built environments, with a focus on biophilic design and the emotional connection with nature. Additionally, affective recommender systems are emerging as a promising area of research, aiming to personalize recommendations based on users' emotional states. Noteworthy papers include: Citizen Centered Climate Intelligence, which presents a scalable framework for urban cooling and eco-routing using open tree data and AI segmentation. Lessons from Biophilic Design, which introduces design principles for affective interaction in smart buildings, emphasizing spatial diversity and sensory exchange with the outside world.

Sources

Urban Comfort Assessment in the Era of Digital Planning: A Multidimensional, Data-driven, and AI-assisted Framework

Citizen Centered Climate Intelligence: Operationalizing Open Tree Data for Urban Cooling and Eco-Routing in Indian Cities

Lessons from Biophilic Design: Rethinking Affective Interaction Design in Built Environments

A Survey of Affective Recommender Systems: Modeling Attitudes, Emotions, and Moods for Personalization

Theoretical foundations of the integral indicator application in hyperparametric optimization

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