Short-term subway passenger flow forecasting approach based on multi-source data fusion-Reference-Cited by-同舟云学术

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Short-term subway passenger flow forecasting approach based on multi-source data fusion

Published:2024-09 Issue: Volume:679 Page:121109
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Cheng Yifan,Li Hongtao^ORCID,Sun Shaolong,Liu Wenzheng^ORCID,Jia Xiaoyan,Yu Yang

Publisher

Elsevier BV

Reference49 articles.

1. Managing human involvement in an energy community: application to a subway station;Simoiu;Sustain. Cities Soc.,2023

2. Combining knowledge graph into metro passenger flow prediction: a split-attention relational graph convolutional network;Zeng;Expert Syst. Appl.,2023

3. A survey on blockchain for information systems management and security;Berdik;Inf. Process. Manag.,2021

4. The introduction of population migration to seiar for covid-19 epidemic modeling with an efficient intervention strategy;Chen;Inf. Fusion,2020

5. Impact of internal migration on household energy poverty: empirical evidence from rural China;Shi;Appl. Energy,2023

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