457 / 2019-02-28 01:08:09

Using Luojia Nighttime Image and Didi Data to Identify the Structure of Polycentric Urban Regions in China

全体主题 > Urban Planning & Modeling

The nighttime image collected by Luojia satellite with a spatial resolution of 130 meters is a new valuable data source to identify the structure of polycentric urban regions timely and accurately. In combination with DiDi commuter data to capture human interaction information in urban regions, Luojia nighttime image is used to identify the main centers and subcenters of a polycentric urban region. In this research, firstly, the Luojia nighttime image of Beijing-Tianjin-Hebei region is segmented to develop new observation units. Secondly, according to measures of human activity density based on traveling data from DiDi, Local Moran’s I is employed to locate main centers in the region. Thirdly, geographically weighted regression is used to select subcenters. Finally, we use both qualitative and quantitative analysis to evaluate the performance of the proposed method.