Dynamic Dynamic Characteristics of Urban Street Space from the Perspective of Multi-Source Data:Taking Zhongshan Road of Nanjing as an Example
The vitality of street space is an important indicator to represent various social and economic activities of a city,which has two levels of connotation:static and dynamic.In the traditional data environment,scholars mainly study the function and environment of urban street space.With the development of new data technology,the measurement method of street vitality based on big data has come into scholars'view.Based on the support of multi-source data,this paper attempts to measure the static vitality of Zhongshan Road by using GIS spatial analysis,Spatial Syntax and other quantitative analysis methods;at the same time,it focuses on using Baidu thermal map data,selects Baidu thermal map data of typical urban street space along Zhongshan Road of Nanjing,and measures the spatial vitality of streets along Zhongshan Road after GIS spatial analysis dynamic characteristics of spatial distribution,hot spot migration and type differentiation.Finally,the dynamic characteristic model of Zhongshan Road's street space is summarized from three levels of space types,in order to provide basis and help for street space design.
multi source datastreet spacedynamic and staticvitality measurementZhongshan Road
国家科技期刊平台
NSTL
万方数据
