Intelligent Assessment, Diagnosis and Planning of All-age Friendly Communities Based on Random Forest

The research focuses on the background of sustainable human development and high-quality urbanization development, taking the community as the research unit to explore the realization of human-oriented, refined and intelligent planning in China's stock planning period in the new era. It constructs a comprehensive assessment index system of all-age friendliness based on the concept of “All-Age Friendly”, and all-age friendly community assessment model with Random Forest model to accurately evaluate the status quo of “All-Age” degree of communities. Furthermore, the research analyzes the coordinated development and internal mechanism between multi-factors and multi-groups, as well as them, and accurately diagnoses the "weakness" of all-age friendly community based on massive cases. Finally, according to the assessment and diagnosis results, the research puts forward refined improvement strategies, intelligently generate planning projects and planning governance tools, and assists the sustainable growth of the full life cycle with urban planning and governance. In general, through the construction of All-Age evaluation index system and a large number of All-Age community cases, the research explored a complete set of intelligent planning realization path with refined assessment, accurate diagnosis and planning based on the machine learning model based on Random Forest.