{"ID":2879261,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.16057","arxiv_id":"2508.16057","title":"Urban Comfort Assessment in the Era of Digital Planning: A Multidimensional, Data-driven, and AI-assisted Framework","abstract":"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.","short_abstract":"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 comprehe...","url_abs":"https://arxiv.org/abs/2508.16057","url_pdf":"https://arxiv.org/pdf/2508.16057v1","authors":"[\"Sijie Yang\",\"Binyu Lei\",\"Filip Biljecki\"]","published":"2025-08-22T03:10:41Z","proceeding":"cs.AI","tasks":"[\"cs.AI\",\"cs.CY\"]","methods":"[]","has_code":false}