A Comparison of Clustering Method to Determine Depot Location for a Bike-sharing Operation-Reference-Cited by-同舟云学术

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A Comparison of Clustering Method to Determine Depot Location for a Bike-sharing Operation

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 5th Asia Conference on Machine Learning and Computing (ACMLC)
language:
Short-container-title:

Author:

Boonjubut Kanokporn¹,Hasegawa Hiroshi²

Affiliation:

1. Shibaura Institute of Technology,Department of Functional Control Systems,Saitama,Japan

2. Shibaura Institute of Technology,Department of Machinery and Control Systems,Saitama,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10221757/10221795/10221801.pdf?arnumber=10221801

Reference22 articles.

1. A review on bike-sharing: The factors affecting bike-sharing demand

2. How could the station-based bike sharing system and the free-floating bike sharing system be coordinated?

3. The bike sharing rebalancing problem: Mathematical formulations and benchmark instances

4. Static repositioning in a bike-sharing system: models and solution approaches

5. A New Method for Substation Planning Problem Based on Weighted K-Means

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Decision System Based on Markov Chains for Sizing the Rebalancing Fleet of Bike Sharing Stations;Applied Sciences;2024-08-02

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