构建多维度、数据驱动、AI辅助的城市舒适度评估框架
Urban Comfort Assessment in the Era of Digital Planning: A Multidimensional, Data-driven, and AI-assisted Framework
- 提出包含三维维度的城市舒适度评估新方法
- 融合多源数据与AI技术实现量化分析
- 适用于数字时代城市规划决策参考
提升宜居性与舒适度是城市规划的核心目标之一。已有研究采用计算方法评估绿地覆盖率、热舒适性、步行友好性等城市舒适度相关因素，但城市舒适度的明确定义及其综合评价体系仍不清晰。本研究探讨数字规划背景下城市舒适度的理论内涵与评估方法，强调三个关键维度：多维度分析、数据支撑和人工智能辅助。
原文摘要 · Abstract (English)
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.
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