Research on Urban Park Scene Optimization from the User Behavior Perspective
Urban parks are a vital component of a healthy urban ecosystem.With the increasing diversity and individualization of people's lifestyles,visitors'recreational behaviors in parks have become more active and diverse.Addressing the changing needs of different groups has become a new challenge for effectively designing and managing parks.This study selected three different types of urban parks in Shenzhen and used Global Positioning System(GPS)tracking data to identify the behavioral trajectory characteristics of park visitors.Through on-site investigations,typical scenarios within the parks were classified.Based on user behavior characteristics,this research proposes suggestions for urban public space design that cater to user's diverse needs,aiming to support future park design and operations.
urban parkscene classificationspatial dis-tributionoptimization designGlobal Positioning System(GPS)tracking data
NETL
NSTL
万方数据
