Passenger spatiotemporal distribution prediction in airport terminals based on physics-guided spatio-temporal graph convolutional network and its effect on indoor environment prediction-Reference-Cited by-同舟云学术

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Passenger spatiotemporal distribution prediction in airport terminals based on physics-guided spatio-temporal graph convolutional network and its effect on indoor environment prediction

Published:2024-07 Issue: Volume:106 Page:105375
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Li Zhiwei,Zhang Jili,Guan Hua

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Dalian University of Technology

Publisher

Elsevier BV

Reference56 articles.

1. Statistical Communiqué of china civil aviation industry development in 2022, retrieved online from: http://www.caac.gov.cn/PHONE/XXGK_17/XXGK/TJSJ/202305/P020230510495703901392.pdf.

2. Action Plan for the construction of civil aviation airports in China (2020-2035), retrieved online from: Https://www.gov.cn/zhengce/zhengceku/2020-03/25/5495472/files/0453adba19d1415a819b4b54452c0214.pdf.

3. Civil Aviation Development Plan in the fourteenth five-year plan in China, retrieved online from: Http://www.caac.gov.cn/XXGK/XXGK/FZGH/202201/P020220107443752279831.pdf.

4. Improving safety management in railway stations through a simulation-based digital twin approach;Padovano;Computers & Industrial Engineering,2024

5. Research on temporal and spatial distribution characteristics of passenger flow of Daxing airport line based on automatic fare collection data;Jie;Expert Systems,2022

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