Predicting Spatiotemporal Demand of Dockless E-Scooter Sharing Services with a Masked Fully Convolutional Network

Predicting Spatiotemporal Demand of Dockless E-Scooter Sharing Services with a Masked Fully Convolutional Network

Dockless electric scooters (e-scooter) have emerged as a green alternative to automobiles and a solution to the first- and last-mile problems. Demand anticipation, or being able to accurately predict spatiotemporal demand of e-scooter usage, is one supply–demand balancing strategy. In this paper, we...

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Bibliographic Details
Main Authors: Santi Phithakkitnukooon, Karn Patanukhom, Merkebe Getachew Demissie
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:ISPRS International Journal of Geo-Information
Subjects:
e-scooter
micromobility
free-floating systems
urban mobility
mobility-as-a-service
spatiotemporal demand
Online Access:https://www.mdpi.com/2220-9964/10/11/773

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