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International Journal of Sustainable Transportation Volume 14, 2020 - Issue 3
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Articles

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

Mohammed H. AlmannaaThe Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, USA; ;Civil Engineering Department, King Saud University, Riyadh, Saudi Arabia; ORCID Iconhttp://orcid.org/0000-0002-5893-3052View further author information
ORCID Icon,
Mohammed ElhenawyCentre for Accident Research and Road Safety, Queensland University of Technology, Brisbane, QLD, Australia; ORCID Iconhttp://orcid.org/0000-0003-2634-4576View further author information
ORCID Icon &
Hesham A. RakhaCenter for Sustainable Mobility, The Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Tech Transportation Institute, Blacksburg, VA, USACorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-5845-2929View further author information
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Pages 232-242 | Received 18 Feb 2018, Accepted 21 Apr 2019, Published online: 13 May 2019

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Paul de Nailly, Etienne Côme, Allou Samé, Latifa Oukhellou, Jacques Ferriere & Yasmine Merad-Boudia. (2022) What can we learn from 9 years of ticketing data at a major transport hub? A structural time series decomposition. Transportmetrica A: Transport Science 18:3, pages 1445-1469.
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J. Zhang, M. Meng, David Z. W. Wang & B. Du. (2022) Allocation strategies in a dockless bike sharing system: a community structure-based approach. International Journal of Sustainable Transportation 16:2, pages 95-104.
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Articles from other publishers (16)

Dawei Chen, Qun Chen, Christina Imdahl & Tom Van Woensel. (2023) A Rolling-Horizon Strategy for Dynamic Rebalancing of Free-Floating Bike-Sharing Systems. IEEE Transactions on Intelligent Transportation Systems 24:11, pages 12123-12140.
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Jun Chai, Jun Song, Hongwei FanYibo Xu, Le Zhang, Bing Guo & Yawen Xu. (2023) ST-Bikes: Predicting Travel-Behaviors of Sharing-Bikes Exploiting Urban Big Data. IEEE Transactions on Intelligent Transportation Systems 24:7, pages 7676-7686.
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Claire Y. T. Chen, Edward W. Sun, Ming-Feng Chang & Yi-Bing Lin. (2023) Enhancing travel time prediction with deep learning on chronological and retrospective time order information of big traffic data. Annals of Operations Research.
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Na Xie, Zhiheng Li, Zhidong Liu & Shiqi Tan. (2023) A censored semi-bandit model for resource allocation in bike sharing systems. Expert Systems with Applications 216, pages 119447.
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Dhiraj Kumar, Diptirtha Chatterjee, Bibek Upadhyaya, Shailendra Nath Yadav & Jyoti Singh Kirar. 2023. Intelligent Systems Design and Applications. Intelligent Systems Design and Applications 161 169 .
Xiao Xiao, Yunlong Zhang, Shu Yang & Xiaoqiang Kong. (2022) Efficient Missing Counts Imputation of a Bike-Sharing System by Generative Adversarial Network. IEEE Transactions on Intelligent Transportation Systems 23:8, pages 13443-13451.
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Xinwei Ma, Yurui Yin, Yuchuan Jin, Mingjia He & Minqing Zhu. (2022) Short-Term Prediction of Bike-Sharing Demand Using Multi-Source Data: A Spatial-Temporal Graph Attentional LSTM Approach. Applied Sciences 12:3, pages 1161.
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Yali Peng, Ting Liang, Xiaojiang Hao, Yu Chen, Shicheng Li & Yugen Yi. (2021) CNN-GRU-AM for Shared Bicycles Demand Forecasting. Computational Intelligence and Neuroscience 2021, pages 1-14.
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Mohammed Elhenawy, Hesham A. Rakha, Youssef Bichiou, Mahmoud Masoud, Sebastien Glaser, Jack Pinnow & Ahmed Stohy. (2021) A Feasible Solution for Rebalancing Large-Scale Bike Sharing Systems. Sustainability 13:23, pages 13433.
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Deepjyoti Das & Pinky Mandal. (2021) Comparative evaluation of commuters’ preferences and expectations for sharing auto-rickshaw. Case Studies on Transport Policy 9:4, pages 1567-1581.
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Christopher Hecht, Jan Figgener & Dirk Uwe Sauer. (2021) Predicting Electric Vehicle Charging Station Availability Using Ensemble Machine Learning. Energies 14:23, pages 7834.
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Ioannis Politis, Ioannis Fyrogenis, Efthymis Papadopoulos, Anastasia Nikolaidou, Eleni Verani, Lazaros Apostolidis, Symeon Papadopoulos, Maria Liatsikou, Ioannis Kompatsiaris, George Keikoglou, Konstantinos Alexiou, Nasos Chondros, Ioannis Tsampouris, Rafail Katkadigkas, Maria-Vasilia Ioannidou & Vasilios Mplesios. (2021) A holistic approach to optimize and promote Bike-Sharing Systems, through an integrated action plan. A holistic approach to optimize and promote Bike-Sharing Systems, through an integrated action plan.
Bojan Kostic, Mathilde Pryds Loft, Filipe Rodrigues & Stanislav S. Borysov. (2021) Deep survival modelling for shared mobility. Transportation Research Part C: Emerging Technologies 128, pages 103213.
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Jingyu Liang, Yiqing Zhu & Peixue Lin. (2021) Data Analysis of Pile-free bike-sharing from Market Status to Operation Management Mode. E3S Web of Conferences 251, pages 01052.
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Mingzhuang Hua, Jingxu Chen, Xuewu Chen, Zuoxian Gan, Pengfei Wang & De Zhao. (2020) Forecasting usage and bike distribution of dockless bike‐sharing using journey data. IET Intelligent Transport Systems 14:12, pages 1647-1656.
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Bo Wang & Inhi Kim. (2018) Short-term prediction for bike-sharing service using machine learning. Transportation Research Procedia 34, pages 171-178.
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