In recent years, with the rapid development of shared bicycles, it has played a great role in alleviating urban traffic pressure and facilitating residents to go out to a certain extent. However, while solving the problem of the last kilometer of travel, the uneven distribution of shared bicycles in subway hub stations is becoming more and more serious, which has a certain impact on the quality of residents ' travel. This paper takes the supply of shared bicycles in urban subway hub stations as the research object, and observes and summarizes the characteristics of slow traffic flow near the entrances and exits of subway hub stations in the morning and evening peak hours. On the premise of ensuring the right of way for pedestrians, the supply and demand of shared bicycles in the subway hub station and the configuration of shared bicycles in the surrounding space of the subway hub station are comprehensively considered, and the supply of shared bicycles is predicted by the estimation model and the field data of the subway hub station are investigated, taking the subway station of Zhengzhou People 's Hospital as an example to carry out field research and predict the actual demand and supply of shared bicycles in the subway hub. Finally, the problems existing in the research on the supply of shared bicycles in metro hub stations and possible future research directions are summarized.
| Published in | American Journal of Traffic and Transportation Engineering (Volume 9, Issue 1) |
| DOI | 10.11648/j.ajtte.20240901.11 |
| Page(s) | 1-8 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Subway Station, Shared Bicycle, Demand Forecast, Carrying Capacity, Quantity Supplied
| [1] | Yang Xinyu, Jin Qun. Prediction of bike-sharing demand in subway station area based on machine learning. Journal of Shijiazhuang Railway University (Natural Science Edition). 2023, 36(03): 92-98+126. |
| [2] | Liu Benxing. Short-term demand forecasting of shared bicycles based on Light GBM. Modern Information Technology. 2022, 6(20): 84-89. |
| [3] | Cao Dandan, Fan Shurui, Zhang Yan. Short-term demand forecasting of shared bicycles based on long-term and short-term memory neural network model. Science and Technology and Engineering. 2020, 20(20): 8344-8349. |
| [4] | XU C, JI J Y, LIU P. The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets. Transportation research part C: emerging technologies. 2018,95:(15)47-60. |
| [5] | Sun Qipeng, Zeng Kaibang, Zhang Kaiqi. Research on the spatio-temporal pattern and demand forecasting of shared bicycle travel in Beijing. Transportation system engineering and information. 2022, 22(01): 332-338. |
| [6] | Li Yin. Beijing City Shared Bicycle Management Policy Research. Transport World. 2018(30): 158-160. |
| [7] | Shi Wen, Fei Jianguo. Planning and Scheduling of Pileless Public Bicycles in Universities-Taking Southwest Forestry University as an Example. Transportation Technology and Econoics.2017, 19(06): 29-32. |
| [8] | Fan Shuyuan, Qiao Jiawei, Cheng Wenbo. Dispatching and allocation of shared bicycles. Construction engineering technology and design. 2018, (14): 5139-5140. |
| [9] | Hu Yaqun, Hamiti, Xu Zikai. Research on the demand forecasting method of shared bicycles around urban rail stations based on K-means clustering. Traffic Engineering, 2023, 23(05): 82-90 + 98. |
| [10] | Li Hao, Cao Yuanmi, Tu Huizhao.Research on demand forecasting of shared bicycle riding. Comprehensive transportation, 2022, 44(05): 92-101. |
| [11] | Zhang Xinchao, Hou Huifang, Zheng Cheng. Prediction of rental demand for urban shared bicycles based on ensemble learning. Technology and innovation, 2024(04): 132-134 + 142. |
| [12] |
Wang Jun, Yu Airong. Prediction of bike-sharing demand in Nanjing based on ConvLSTM. Software Engineering, 2024, 27(02): 55-59.
https://doi.org/10.19644 / j.cnki.issn2096-1472.2024.002.011. |
| [13] | Wang Fan. Research on demand forecasting and scheduling optimization of shared bicycles. M.S. Thesis, Southeast University, 2024. |
| [14] | Wang Chaoran. Bike-sharing travel demand forecasting and scheduling optimization M.S. Thesis, Lanzhou Jiaotong University, 2024. |
| [15] | Wang Mengxue. Research on demand forecasting and scheduling of shared bicycle stations. M.S. Thesis, Beijing Jiaotong University, 2023. |
| [16] | Jin Qun. Prediction of bike-sharing demand in subway station area based on machine learning. M.S. Thesis, Shijiazhuang Tiedao University, 2023. |
| [17] |
China Academy of Urban Planning & Design, “Report on bike-sharing / e-bike riding in major cities of China in2023”. Available from:
https://www.caupd.com/index.html. [Accessed 28 September 2023]. |
| [18] | Wang Xueqin, Xie Chun, Zhang Lixun. Research on the configuration of shared bicycles in subway stations. LogisticsTechnology. 2019, 38(04): 18-22. |
APA Style
Wang, J., Chen, Y. (2024). Research on the Supply of Shared Bicycles in Subway Hub Stations-Taking the Subway Station of Zhengzhou People 's Hospital as an Example. American Journal of Traffic and Transportation Engineering, 9(1), 1-8. https://doi.org/10.11648/j.ajtte.20240901.11
ACS Style
Wang, J.; Chen, Y. Research on the Supply of Shared Bicycles in Subway Hub Stations-Taking the Subway Station of Zhengzhou People 's Hospital as an Example. Am. J. Traffic Transp. Eng. 2024, 9(1), 1-8. doi: 10.11648/j.ajtte.20240901.11
AMA Style
Wang J, Chen Y. Research on the Supply of Shared Bicycles in Subway Hub Stations-Taking the Subway Station of Zhengzhou People 's Hospital as an Example. Am J Traffic Transp Eng. 2024;9(1):1-8. doi: 10.11648/j.ajtte.20240901.11
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ajtte.20240901.11,
author = {Jihua Wang and Yan Chen},
title = {Research on the Supply of Shared Bicycles in Subway Hub Stations-Taking the Subway Station of Zhengzhou People 's Hospital as an Example
},
journal = {American Journal of Traffic and Transportation Engineering},
volume = {9},
number = {1},
pages = {1-8},
doi = {10.11648/j.ajtte.20240901.11},
url = {https://doi.org/10.11648/j.ajtte.20240901.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20240901.11},
abstract = {In recent years, with the rapid development of shared bicycles, it has played a great role in alleviating urban traffic pressure and facilitating residents to go out to a certain extent. However, while solving the problem of the last kilometer of travel, the uneven distribution of shared bicycles in subway hub stations is becoming more and more serious, which has a certain impact on the quality of residents ' travel. This paper takes the supply of shared bicycles in urban subway hub stations as the research object, and observes and summarizes the characteristics of slow traffic flow near the entrances and exits of subway hub stations in the morning and evening peak hours. On the premise of ensuring the right of way for pedestrians, the supply and demand of shared bicycles in the subway hub station and the configuration of shared bicycles in the surrounding space of the subway hub station are comprehensively considered, and the supply of shared bicycles is predicted by the estimation model and the field data of the subway hub station are investigated, taking the subway station of Zhengzhou People 's Hospital as an example to carry out field research and predict the actual demand and supply of shared bicycles in the subway hub. Finally, the problems existing in the research on the supply of shared bicycles in metro hub stations and possible future research directions are summarized.
},
year = {2024}
}
TY - JOUR T1 - Research on the Supply of Shared Bicycles in Subway Hub Stations-Taking the Subway Station of Zhengzhou People 's Hospital as an Example AU - Jihua Wang AU - Yan Chen Y1 - 2024/04/12 PY - 2024 N1 - https://doi.org/10.11648/j.ajtte.20240901.11 DO - 10.11648/j.ajtte.20240901.11 T2 - American Journal of Traffic and Transportation Engineering JF - American Journal of Traffic and Transportation Engineering JO - American Journal of Traffic and Transportation Engineering SP - 1 EP - 8 PB - Science Publishing Group SN - 2578-8604 UR - https://doi.org/10.11648/j.ajtte.20240901.11 AB - In recent years, with the rapid development of shared bicycles, it has played a great role in alleviating urban traffic pressure and facilitating residents to go out to a certain extent. However, while solving the problem of the last kilometer of travel, the uneven distribution of shared bicycles in subway hub stations is becoming more and more serious, which has a certain impact on the quality of residents ' travel. This paper takes the supply of shared bicycles in urban subway hub stations as the research object, and observes and summarizes the characteristics of slow traffic flow near the entrances and exits of subway hub stations in the morning and evening peak hours. On the premise of ensuring the right of way for pedestrians, the supply and demand of shared bicycles in the subway hub station and the configuration of shared bicycles in the surrounding space of the subway hub station are comprehensively considered, and the supply of shared bicycles is predicted by the estimation model and the field data of the subway hub station are investigated, taking the subway station of Zhengzhou People 's Hospital as an example to carry out field research and predict the actual demand and supply of shared bicycles in the subway hub. Finally, the problems existing in the research on the supply of shared bicycles in metro hub stations and possible future research directions are summarized. VL - 9 IS - 1 ER -
School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, China
School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, China; Jiaozuo Road Traffic and Transportation Science and Technology Research Center, Henan Polytechnic University, Jiaozuo, China
Information