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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 26, 2022 - Issue 5
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Articles

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

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Pages 602-612 | Received 22 Sep 2020, Accepted 23 Jun 2021, Published online: 08 Jul 2021

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F. T. Alaoui, H. Fourati, A. Kibangou, B. Robu & N. Vuillerme. (2022) Kick-scooters identification in the context of transportation mode detection using inertial sensors: Methods and accuracy. Journal of Intelligent Transportation Systems 0:0, pages 1-21.
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Hyunsoo Yun, Eui-Jin Kim, Seung Woo Ham & Dong-Kyu Kim. (2022) Price incentive strategy for the E-scooter sharing service using deep reinforcement learning. Journal of Intelligent Transportation Systems 0:0, pages 1-15.
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Articles from other publishers (11)

Ruo Jia, Richard Chamoun, Alexander Wallenbring, Masoomeh Advand, Shanchuan Yu, Yang Liu & Kun Gao. (2023) A spatio-temporal deep learning model for short-term bike-sharing demand prediction. Electronic Research Archive 31:2, pages 1031-1047.
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Chaher Alzaman, Tariq Aljuneidi & Zhaojun Li. (2023) Predicting Bike Usage and Optimizing Operations at Repair Shops in Bike Sharing Systems. IEEE Access 11, pages 32534-32547.
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Turgay Dindaroğlu, Miraç Kılıç, Elif Günal, Recep Gündoğan, Abdullah E. Akay & Mahmoud Seleiman. (2022) Multispectral UAV and satellite images for digital soil modeling with gradient descent boosting and artificial neural network. Earth Science Informatics 15:4, pages 2239-2263.
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Mohammad Tamim Kashifi, Arshad Jamal, Mohammad Samim Kashefi, Meshal Almoshaogeh & Syed Masiur Rahman. (2022) Predicting the travel mode choice with interpretable machine learning techniques: A comparative study. Travel Behaviour and Society 29, pages 279-296.
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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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Hichem Tahraoui, Abdeltif Amrane, Abd-Elmouneïm Belhadj & Jie Zhang. (2022) Modeling the organic matter of water using the decision tree coupled with bootstrap aggregated and least-squares boosting. Environmental Technology & Innovation 27, pages 102419.
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Horatiu Florian, Camelia Avram, Mihai Pop, Adrian Mocanu, Dan Radu & Adina Astilean. (2022) Probabilistic Petri Nets Model for Assessing Temporal Variations of the Number of Bikes in Bike-Sharing Stations. Probabilistic Petri Nets Model for Assessing Temporal Variations of the Number of Bikes in Bike-Sharing Stations.
Cristian Poliziani, Joerg Schweizer & Federico Rupi. (2022) Supply and Demand Analysis of a Free Floating Bike Sharing System. Communications - Scientific letters of the University of Zilina 24:2, pages A53-A65.
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Jane Carlen, Jaume de Dios Pont, Cassidy Mentus, Shyr-Shea Chang, Stephanie Wang & Mason A. Porter. (2022) Role detection in bicycle-sharing networks using multilayer stochastic block models. Network Science 10:1, pages 46-81.
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Elżbieta Macioszek & Maria Cieśla. (2022) External Environmental Analysis for Sustainable Bike-Sharing System Development. Energies 15:3, pages 791.
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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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