| As an important public resource and natural ecological infrastructure for cities,blue-green spaces are adjacent to multiple neighborhoods and multiple land uses,and have great potential to integrate with urban form,civic life and urban culture,making them an important stock base and a frontier for practice in creating park cities.The availability of blue-green space is a key driver of people’s interaction with urban green space,and the creation of a walkable blue-green space system is essential to enhance the livability of modern cities and the well-being of their inhabitants.In recent years,the development of information technology and the popularity of the Internet have provided new opportunities to objectively measure and recognize and understand cities.This study aims to explore the pedestrian accessibility and walking environment of urban blue-green spaces in the context of open source big data,taking Shaoxing city as an example.Through the Internet map service function and the establishment of an open web datasets,specific walking routes from residential buildings to blue-green spaces are obtained,the service effectiveness of urban blue-green spaces is assessed,and the perception of blue-green spaces in the walking environment in the study area is measured in two dimensions and three dimensions.The results of the study aim to provide scientific and reliable data to assist in park location decisions and guide the sustainable planning and management of blue-green spaces.The analysis found that:(1)the overall insufficient and unbalanced supply of green spaces in Shaoxing leads to limited service area and large regional differences;there are great differences in green space services in terms of spatial distribution,optional opportunities,and individual service capabilities;Blue-green space —— the pedestrian route in the residential area is generally smooth,and the pedestrian permeability is good;there is a correlation between the PDR and the number of park entrances,and increasing the number of park entrances is one of the feasible methods to improve the accessibility of green space;(2)Compared to green spaces,blue spaces(rivers),which are distributed horizontally and vertically,show great potential in compensating for the lack of green space accessibility.If it can be integrated as a public waterfront space,it may greatly promote the scale and service scope of outdoor public space;(3)The overall green space perception in the pedestrian environment is high,but there is a large spatial differentiation;Although the blue space is abundant,water cannot be seen from many waterfront streets;By comparing the two-dimensional and three-dimensional views of blue and green space,the ratio of green space to blue space along the street is found to be moderately and weakly correlated in two and three dimensions respectively.The above findings provide a scientific reference for policy makers in the planning and design of blue-green spaces.Based on the above findings,the authors propose recommendations to enhance the accessibility and improve the pedestrian environment,so as to effectively improve the scope and level of effective services of blue-green spaces in Shaoxing,and to take into account the environment along the "last and most important kilometre" of households’ access to blue-green spaces,and to promote the deep integration of blue-green spaces with the city in terms of form and function,so as to respond to the creation of park cities and improve the human habitat.Based on open source data,this study is an active exploration of urban blue-green space accessibility,pedestrian environment and its coupling potential,which are closely related to residents.In addition,this paper attempts to assess the current situation,diagnosis,potential analysis and design intervention positioning of blue-green spaces based on existing open source data and intuitive spatial analysis methods.The research process identifies the opportunities and limitations of the current use of open source data,as well as the importance of combining it with field research. |