Dynamic linear models to predict bike availability in a bike sharing system-Reference-Cited by-同舟云学术

Dynamic linear models to predict bike availability in a bike sharing system

Published:2019-05-13 Issue:3 Volume:14 Page:232-242
ISSN:1556-8318
Container-title:International Journal of Sustainable Transportation
language:en
Short-container-title:International Journal of Sustainable Transportation

Author:

Almannaa Mohammed H.¹²^ORCID,Elhenawy Mohammed³^ORCID,Rakha Hesham A.⁴^ORCID

Affiliation:

1. The Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, USA;

2. Civil Engineering Department, King Saud University, Riyadh, Saudi Arabia;

3. Centre for Accident Research and Road Safety, Queensland University of Technology, Brisbane, QLD, Australia;

4. Center for Sustainable Mobility, The Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Tech Transportation Institute, Blacksburg, VA, USA

Funder

Mid-Atlantic Transportation Sustainability University Transportation Center

Urban Mobility and Equity Center

Publisher

Informa UK Limited

Subject

Transportation,Automotive Engineering,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15568318.2019.1611976

Reference32 articles.

1. A Novel Supervised Clustering Algorithm for Transportation System Applications

2. Optimizing the level of service quality of a bike-sharing system

3. Modeling bike availability in a bike-sharing system using machine learning

Cited by 26 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. Unpacking the perceived cycling safety of road environment using street view imagery and cycle accident data;Accident Analysis & Prevention;2024-09

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

3. Research on Shared Bicycle Prediction Using Gated Graph Convolutional Networks with Multi-Feature Edge Weights;2024-06-13

4. Predicting Short-Term Bike-Sharing Demand at Station Level: A Semi-Adaptive Graph-Based Multi-Task Spatiotemporal Approach;2024

5. Predicting Short-Term Bike-Sharing Demand at Station Level: A Deep Graph-Based Multi-Task Spatiotemporal Approach;2024