Predicting Short-Term Bike-Sharing Demand at Station Level: A Semi-Adaptive Graph-Based Multi-Task Spatiotemporal Approach

Author:

Nejadshamsi Shayan,Bentahar Jamal,Wang Chun,Eicker Ursula

Publisher

Elsevier BV

Reference86 articles.

1. Mobility modeling and data-driven closed-loop prediction in bike-sharing systems;Z Yang;IEEE Transactions on Intelligent Transportation Systems,2019

2. Dynamic cluster-based over-demand prediction in bike sharing systems;L Chen;Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp '16,2016

3. Bike-share rebalancing strategies, patterns, and purpose;C M�dard De Chardon;Journal of Transport Geography,2016

4. Exact loading and unloading strategies for the static multi-vehicle bike repositioning problem;W Szeto;Transportation Research Part B: Methodological,2018

5. Dynamic linear models to predict bike availability in a bike sharing system;M E Mohammed;International Journal of Sustainable Transportation,2020

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