| Under the vehicle-oriented traffic development,streets,as the major elements of open spaces and transportation,have rapidly developed their traffic functions,but the travel quality of residents when walking on streets is often neglected.Governments pay more and more attention to alleviating this series of urban problems via improving the quality of built environment and building better pedestrian space in order to advocate non-motor vehicle travel mode.Meanwhile,it may contribute to healthy behaviors and outcomes of residents since more exercises based on walking.This paper attempts to provide a framework built from mixed perspectives of urban planning,sociology,architecture and health geography that can support planning and policy decisions for government as well as researches in relevant fields,further promoting equitable distribution of public resources,quality of life and the well-being of residents.The objectives of this paper include following points:(1)The major objective of this paper is to establish comprehensive measures that can support the quantification and evaluation of walkability and its spatial equity in Hangzhou,at both residential area level(point)and street space level(line).It integrates the influence of macroscopic factors which includes the diversity,accessibility,connectivity of streets,and microscopic factors that may play an important role on pedestrian’s subjective feelings,including the physical characteristics of streets like the side width,road’s gradient,and sidewalk greening.(2)To better understand the relationship between built environment,SES and socal equality,stepwise regression model and random forest model are employed.The results show that the degree of education,unemployment rate and age contribute to the spatial difference of walkability,reflecting that there is significant social inequality walkability.(3)This paper also discussed the validity of the different frameworks via exploring the relationship with Weibo check-in data crawled from Internet API and walkability index.Random forest models are employed to analyze the relationship.The findings suggest that walkability framework built at street can better predict the actual popularity,as contrasted with method using Walk Score model at residential area level.In addition,the impact of physical characteristics of streets and diversity of available POI functions weighs more than other relevant factors. |
