Transfer learning for cross-modal demand prediction of bike-share and public transit-Reference-Cited by-同舟云学术

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Transfer learning for cross-modal demand prediction of bike-share and public transit

Published:2024-06-30 Issue: Volume: Page:1-14
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Hua Mingzhuang¹,Pereira Francisco Camara²,Jiang Yu²³,Chen Xuewu⁴,Chen Junyi⁴

Affiliation:

1. College of General Aviation and Flight, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Department of Technology, Management and Economics, Technical University of Denmark, Kongens Lyngby, Denmark

3. Lancaster University Management School, Lancaster University, Lancaster, UK

4. School of Transportation, Southeast University, Dhaka, Bangladesh

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2024.2371913

Reference47 articles.

1. Network and station-level bike-sharing system prediction: a San Francisco bay area case study

2. Exploring the health and spatial equity implications of the New York City Bike share system

3. Bike flow prediction with multi-graph convolutional networks

4. Bike Fleet Allocation Models for Repositioning in Bike-Sharing Systems

5. Rebalancing Bike-Sharing System With Deep Sequential Learning

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