机器学习在历史保护街区活力分析上的应用
本文基于北京市有的八个历史街区,运用机器学习的方法对分为23个因子(形态、功能、视觉和交通四个方面)的活力特征进行分析建模,以便更好地管理历史保护街区。
Based on eight historic blocks in Beijing, this paper uses machine learning to analyze and model the dynamic characteristics divided into 23 factors (form, function, vision and traffic), so as to better manage historic protected blocks.