Sparse trip demand prediction for shared E-scooter using spatio-temporal graph neural networks

Song, Jia-Cherng; Hsieh, I-Yun Lisa; Chen, Chuin-Shan

doi:10.1016/j.trd.2023.103962

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Sparse trip demand prediction for shared E-scooter using spatio-temporal graph neural networks

Cited by 5 publications

References 46 publications

ICN: Interactive convolutional network for forecasting travel demand of shared micromobility

ICN: Interactive convolutional network for forecasting travel demand of shared micromobility

Situational-aware multi-graph convolutional recurrent network (SA-MGCRN) for travel demand forecasting during wildfires

Fleet sizing and static rebalancing strategies for shared E-scooters: A case study in Indianapolis, USA

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