|
|
|
|
|
Yupei Shu, Xu Chen and Xuan Di
This paper aims to use location-based social media data to infer the impact of the Russia?Ukraine war on human mobility. We examine the impact of the Russia?Ukraine war on changes in human mobility in terms of the spatial range of check-in locations usin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jing Li, Wenyue Guo, Haiyan Liu, Xin Chen, Anzhu Yu and Jia Li
Predicting user activity intensity is crucial for various applications. However, existing studies have two main problems. First, as user activity intensity is nonstationary and nonlinear, traditional methods can hardly fit the nonlinear spatio-temporal r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shiwei Lu, Yaping Huang, Chaoyang Shi and Xiping Yang
The design and optimization of urban form has always been a hot topic in urban planning and development research. Besides, the creation of continuous vitality in urban areas is of critical importance in the development of urbanization. However, due to th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jing Wu, Jingwen Li and Yue Ma
The geographical location and check-in frequency of social platform users indicate their personal preferences and intentions for space. On the basis of social media data and gender differences, this study analyzes Weibo users? preferences and the reasons...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammad Rizwan and Wanggen Wan
-
|
|
|
|
|
|
|
|
|
|
|
Muhammad Rizwan, Wanggen Wan, Ofelia Cervantes and Luc Gwiazdzinski
|
|
|
|
|
|