Against the backdrop of improving stock planning and public space quality,there is an urgent need to enhance the vitality of various types of streets in historic districts.Currently,leveraging multi-source big data to quantify street vitality and guide design strategies has become a focal point in academic research.This paper reviews research using vitality analysis models to promote street design in historic districts,integrates and optimises vitality measurements and influencing factor indicators,and constructs analytical models from the perspectives of various vitality characteristics.Compared to the diverse vitality studies in existing historic district contexts,the framework of this analysis model exhibits universality and transferability-applicable to different types and functions of historic streets while considering the uniqueness of street morphology elements or vitality phenomena.Addressing the problem of insufficient support for detailed design in existing models,a comprehensive many-to-many relationship model of street vitality and influencing factors is proposed to identify the influencing factors through correlation analysis and guide the detailed urban design elements.This offers a dynamic research perspective distinct from traditional methods for formulating renewal strategies.
维普
万方数据