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An adapted geographically weighted LASSO (Ada-GWL) model for predicting subway ridership |
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| Authors: | He Yuxin Zhao Yang Tsui Kwok Leung |
| Institution: | 1.School of Data Science, City University of Hong Kong, Kowloon, Hong Kong, SAR, China ;2.Centre for Systems Informatics Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China ; |
| Abstract: | Transportation - Ridership prediction at station level plays a critical role in subway transportation planning. Among various existing ridership prediction methods, direct demand model has been... |
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