Article Title

Study on Greenway Network Planning Based on Big Data Social Behavior and Urban Potential Space Framework


Chinese cities are facing urban transformations, and urban greenways should be highly-ranked in future urban construction. While the selection of urban greenways is influenced by complicated factors, such as the existing urban land use layout, the network structure and the usage demand. At present, Chinese greenways route selection is mainly based on suitability analysis of the value and potential of urban land use, but rarely related to the daily use demand of citizens. In particular, there is a lack of consideration of the two key factors: the conversion potential of urban land and the usage demand of urban residents. Under the new big data environment, this paper uses big data to explore a greenway network planning model, which consists of GIS spatial analysis (evaluation of potential space of urban greenway) and social behavior analysis of big data (evaluation of use demand of urban residents).

From the perspective of urban greenway potential space evaluation, including: 1) high frequency use space, evaluated through urban public space vitality and urban green space landscape vitality; 2) Unutilized space that can be transformed, namely river channel, railway and protective greenbelt. From the perspective of social behavior analysis of big data, including: 1) usage demand analysis of existing park and built greenway based on big data of Web review. 2) bicycle's usage demand analysis of greenway node space and linear space by shared bicycle OD data and trajectory data.

Linear space and point space can be drawn from the above analysis. The linear space is used to establish the cost grid of greenway suitability, while the point space is used to establish an evaluation index system and select greenway nodes. Then use minimum cost path algorithm to generate the preliminary scheme of greenway selection by connecting nodes and cost grid in ArcGIS. Finally, combined with big data analysis of greenway usage demand, the structure and function of the greenway planning is optimized to form an overall urban greenway network system. Under the background of new technology development, a controllable and quantitative data model of urban greenway selection is explored.