An adapted geographically weighted LASSO (Ada-GWL) model for predicting subway ridership
作者： Yuxin He , Yang Zhao , Kwok Leung Tsui
DOI: 10.1007/S11116-020-10091-2
关键词: Transportation planning 、 Context (language use) 、 Model selection 、 Econometrics 、 Computer science 、 Linear regression 、 Ordinary least squares 、 Interpretability 、 Lasso (statistics) 、 Cluster analysis
摘要: 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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