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Passenger spatiotemporal distribution prediction in airport terminals based on insect intelligent building architecture and its contribution to fresh air energy saving

Bibliographic Data

ID21228990
AuthorsZhiwei Li (0000-0001-7505-5899, Dalian University of Technology), Jili Zhang (0000-0002-0043-5106, Dalian University of Technology, corresponding author), Song Mu (0000-0003-3427-5021, Guangdong Baiyun University)
Year2023
Volume97
Pages104772
Publication date2023-10-01
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2023.104772
OpenAlexW4383311913
LanguageEN
Citations received1
References cited25

Air conditioning · Civil engineering · Energy consumption · HVAC · International airport · Occupancy · Transport engineering · Variable air volume · Computer Science · Engineering · Evacuation and Crowd Dynamics · Traffic Prediction and Management Techniques · Transportation Planning and Optimization · Automotive Engineering

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

    Open Access•Zhiwei Li, Jili Zhang et al.•Sustainable Cities and Society•2024

Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

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