GPS data in urban bicycle-sharing: Dynamic electric fence planning with assessment of resource-saving and potential energy consumption increasement-Reference-Cited by-同舟云学术

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GPS data in urban bicycle-sharing: Dynamic electric fence planning with assessment of resource-saving and potential energy consumption increasement

Published:2022-09 Issue: Volume:322 Page:119533
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Yu Qing,Xie Yingkun,Li Weifeng,Zhang Haoran,Liu Xiaolei,Shang Wen-Long,Chen Jinyu,Yang Dongyuan,Yan Jinyue

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference51 articles.

1. Shanghai City Comprehensive Transportation Planning Institute. Shanghai Comprehensive Transportation Annual Report 2020.

2. Policy Zoning for Efficient Land Utilization Based on Spatio-Temporal Integration between the Bicycle-Sharing Service and the Metro Transit;Yu;Sustainability,2021

3. Electric fence planning for dockless bike-sharing services;Zhang;J Cleaner Prod,2019

4. Factors influencing the choice of shared bicycles and shared electric bikes in Beijing;Campbell;Transp Res Part C: Emerging Technol,2016

5. A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system;Du;Transp Res Part C: Emerging Technol,2019

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1. A hybrid genetic-fuzzy ant colony optimization algorithm for automatic K-means clustering in urban global positioning system;Engineering Applications of Artificial Intelligence;2024-11

2. A Sustainable Dynamic Capacity Estimation Method Based on Bike-Sharing E-Fences;Sustainability;2024-07-20

3. Adaptive generative adjustable electric fence method and internal obstacle detection;Transportation Research Part C: Emerging Technologies;2024-05

4. Designing online learning algorithms for electric fence placement in dockless bike-sharing system utilizing limited random parking strategies;Transportmetrica B: Transport Dynamics;2024-04-26

5. Insights into Travel Pattern Analysis and Demand Prediction: A Data-Driven Approach in Bike-Sharing Systems;Journal of Transportation Engineering, Part A: Systems;2024-02

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