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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

大数据挖掘与分析（英文版）2026，Vol.9Issue(1)：39-56,18.

大数据挖掘与分析（英文版）2026，Vol.9Issue(1)：39-56,18.DOI:10.26599/BDMA.2025.9020069

Multiresolution Taxi Demand Prediction:A Big Data Statistical and Zero-Inflated Spatiotemporal GNN Approach

Yifei Shen ¹Wenlong Shi ²Jiaxing Shen ¹Hengzhi Wang ²Hanqing Wu ³Jiannong Cao⁴

作者信息

1. School of Data Science,Lingnan University,Hong Kong,China
2. College of Computer Science and Software Engineering,Shenzhen University,Shenzhen 518060,China
3. Lucky Technology Development Limited,Hong Kong,China
4. Department of Computing,The Hong Kong Polytechnic University,Hong Kong,China
折叠

摘要

关键词

statistical big data analytics/urban transportation/taxi demand prediction/multi-resolution prediction/data sparsity/Zero-Inflated Poisson(ZIP)distribution

Key words

statistical big data analytics/urban transportation/taxi demand prediction/multi-resolution prediction/data sparsity/Zero-Inflated Poisson(ZIP)distribution

引用本文复制引用

Yifei Shen,Wenlong Shi,Jiaxing Shen,Hengzhi Wang,Hanqing Wu,Jiannong Cao..Multiresolution Taxi Demand Prediction:A Big Data Statistical and Zero-Inflated Spatiotemporal GNN Approach[J].大数据挖掘与分析（英文版）,2026,9(1):39-56,18.

基金项目

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). （LU）

大数据挖掘与分析（英文版）

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