Urban Comfort Assessment in the Era of Digital Planning: A Multidimensional, Data-driven, and AI-assisted Framework
This work addresses the problem of assessing urban comfort for urban planners and researchers, but it appears incremental as it builds on existing computational methods without introducing a new paradigm.
The research tackled the lack of a clear definition and comprehensive evaluation framework for urban comfort in digital planning, proposing a framework that emphasizes multidimensional analysis, data support, and AI assistance.
Ensuring liveability and comfort is one of the fundamental objectives of urban planning. Numerous studies have employed computational methods to assess and quantify factors related to urban comfort such as greenery coverage, thermal comfort, and walkability. However, a clear definition of urban comfort and its comprehensive evaluation framework remain elusive. Our research explores the theoretical interpretations and methodologies for assessing urban comfort within digital planning, emphasising three key dimensions: multidimensional analysis, data support, and AI assistance.