Components Of Streets That Predict The Possibility For Restoration

Nowadays,crowded environment and high-speed life pace are likely to bring mental stress and fatigue to citizens.As the material living standard has improved,people pay more and more attention to health.The concept of Health City proposed by the World Health Organization in 1986 has been implemented for over 30 years,and nowadays people concern how urban planning management shape Health City.Well-designed street environment may serve restoration well,but earlier research does not provide detailed information about the specific components of the physical environment that support restoration.This study exploreds which characteristics of street environment can influence restoration of.And this study assessed which environmental components can predict restoration.The streets were sampled from Shenzhen,and samples were selected based on changes in the three characteristics of streets: green pattern,street function,and width.Each street was represented by a single photo.In order to quantify the street environment,this study applys a image segmentation method to evaluate components of streets.Each photo was quantified in terms of the different objective street components and also rated on psychological variables related to restoration.The rating on the psychological variables,being away,fascination,coherence,scope,likelihood of restoration,and preference were provided by people of various ages and occupations.In the descriptive and correlation analysis between the street components and the likelihood of restoration,the variables with most predictive of likelihood of restoration were the combination of street components and the appearance of natural components.Because the variance analysis show these two factors can significiently influence the restoration.The path model of two indepedents: green patterns,classification of width,was significant.the restorative benefits of streets are significantly correlated with natural elements and seats.The appearance of natural plants and seats significantly influence the likelihood of restoration.This results provide guidance for the design of the street environment.