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Tongxin Chen, Kate Bowers and Tao Cheng
This study aimed to evaluate the relationships between different groups of explanatory variables (i.e., dynamic human activity variables, static variables of social disorganisation and crime generators, and combinations of both sets of variables) and pro...
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Zhihao Zhang, Yong Han, Tongxin Peng, Zhenxin Li and Ge Chen
Accurate subway passenger flow prediction is crucial to operation management and line scheduling. It can also promote the construction of intelligent transportation systems (ITS). Due to the complex spatial features and time-varying traffic patterns of s...
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Yong Han, Tongxin Peng, Cheng Wang, Zhihao Zhang and Ge Chen
Accurate prediction of citywide short-term metro passenger flow is essential to urban management and transport scheduling. Recently, an increasing number of researchers have applied deep learning models to passenger flow prediction. Nevertheless, the tas...
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