Predicting the Dynamic Demand of Bike-Sharing System in Chicago with Divvy Operation Data: A Data-Driven approach for bike-sharing demand forecasting

Huiyue Feng. Predicting the Dynamic Demand of Bike-Sharing System in Chicago with Divvy Operation Data: A Data-Driven approach for bike-sharing demand forecasting. In ICEEG 2021: The 5th International Conference on E-Commerce, E-Business and E-Government, Rome, Italy, April 28 - 30, 2021. pages 30-34, ACM, 2021. [doi]

@inproceedings{Feng21-26,
  title = {Predicting the Dynamic Demand of Bike-Sharing System in Chicago with Divvy Operation Data: A Data-Driven approach for bike-sharing demand forecasting},
  author = {Huiyue Feng},
  year = {2021},
  doi = {10.1145/3466029.3466035},
  url = {https://doi.org/10.1145/3466029.3466035},
  researchr = {https://researchr.org/publication/Feng21-26},
  cites = {0},
  citedby = {0},
  pages = {30-34},
  booktitle = {ICEEG 2021: The 5th International Conference on E-Commerce, E-Business and E-Government, Rome, Italy, April 28 - 30, 2021},
  publisher = {ACM},
  isbn = {978-1-4503-8949-5},
}