Life Sciences Commons^™

Comparing Human Activity Density And Green Space Supply Using The Baidu Heat Map In Zhengzhou, China, Shumei Zhang, Wenshi Zhang, Ying Wang, Xiaoyu Zhao, Peihao Song, Guohang Tian, Audrey L. Mayer

Michigan Tech Publications

Rapidly growing cities often struggle with insufficient green space, although information on when and where more green space is needed can be difficult to collect. Big data on the density of individuals in cities collected from mobile phones can estimate the usage intensity of urban green space. Taking Zhengzhou's central city as an example, we combine the real-time human movement data provided by the Baidu Heat Map, which indicates the density of mobile phones, with vector overlays of different kinds of green space. We used the geographically weighted regression (GWR) method to estimate differentials in green space usage between weekdays …