Multiresolution Taxi Demand Prediction:A Big Data Statistical and Zero-Inflated Spatiotemporal GNN ApproachOA
Multiresolution Taxi Demand Prediction:A Big Data Statistical and Zero-Inflated Spatiotemporal GNN Approach
Yifei Shen;Wenlong Shi;Jiaxing Shen;Hengzhi Wang;Hanqing Wu;Jiannong Cao
School of Data Science,Lingnan University,Hong Kong,ChinaCollege of Computer Science and Software Engineering,Shenzhen University,Shenzhen 518060,ChinaSchool of Data Science,Lingnan University,Hong Kong,ChinaCollege of Computer Science and Software Engineering,Shenzhen University,Shenzhen 518060,ChinaLucky Technology Development Limited,Hong Kong,ChinaDepartment of Computing,The Hong Kong Polytechnic University,Hong Kong,China
statistical big data analyticsurban transportationtaxi demand predictionmulti-resolution predictiondata sparsityZero-Inflated Poisson(ZIP)distribution
statistical big data analyticsurban transportationtaxi demand predictionmulti-resolution predictiondata sparsityZero-Inflated Poisson(ZIP)distribution
《大数据挖掘与分析（英文版）》 2026 (1)
39-56,18
This research was supported by the Lingnan University(LU)(Nos.DR25F4,DB24C4,and 871242),the Lam Woo Research Fund at LU(No.LWP20021),and the Shenzhen University-Lingnan University Joint Research Programme(No.SZU-LU007/2526).
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