NDLI: Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach

Content Provider	Scilit
Author	Lin, Lei He, Zhengbing Peeta, Srinivas
Copyright Year	2018
Description	Journal: Transportation Research Part C: Emerging Technologies
Related Links	http://arxiv.org/pdf/1712.04997
Ending Page	276
Page Count	19
Starting Page	258
ISSN	0968090X
DOI	10.1016/j.trc.2018.10.011
Journal	Transportation Research Part C: Emerging Technologies
Volume Number	97
Language	English
Publisher	Elsevier BV
Publisher Date	2018-11-05
Access Restriction	Open
Subject Keyword	Journal: Transportation Research Part C: Emerging Technologies Information Systems Bike Sharing Graph Convolution Neural Network Data-driven Graph Filter Long Short-term Memory Network Deep Learning Spatio-temporal Demand Prediction
Content Type	Text
Resource Type	Article
Subject	Management Science and Operations Research Automotive Engineering Transportation Computer Science Applications Civil and Structural Engineering

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Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach