| 接驳轨道交通的共享单车潮汐均衡时空分布模式 |
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| 引用本文： | 王涵菁,邬群勇,邝嘉恒,郑汉捷,张晨,尹延中. 接驳轨道交通的共享单车潮汐均衡时空分布模式[J]. 福州大学学报(自然科学版), 2024, 52(2) |
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| 作者姓名： | 王涵菁 邬群勇 邝嘉恒 郑汉捷 张晨 尹延中 |
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| 作者单位： | 福州大学数字中国研究院（福建）,福州大学数字中国研究院（福建）,福州大学数字中国研究院（福建）,福州大学数字中国研究院（福建）,福州大学数字中国研究院（福建）,福州大学数字中国研究院（福建） |
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| 基金项目： | 国家自然科学基金项目（面上项目,重点项目,重大项目）,中央引导地方科技发展专项,福建省科技计划引导项目 |
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| 摘 要： | 随着城市的高速发展,通勤高峰时期,地铁站区域“无车可租,无地可还”的情况严重影响了通勤效率,研究接驳轨道交通的共享单车的潮汐均衡特征,为单车调度提供科学的决策依据,具有重要意义。本文以深圳市为研究区,使用工作日早高峰的接驳骑行订单数据,考虑地铁站和出入口两层面的潮汐均衡性分类,从单车调度角度将出入口划分为无需调度型、站内调度型和站外调度型,使用非负矩阵分解方法划分出入口流量时空分布类别,确定调度时间。结果表明,将接驳轨道交通的潮汐均衡分析聚焦到出入口层面,精确划分出入口调度类型,确定调度方式和产生调度需求的时间,可为单车管理者进行车辆调度提供可靠的数据支持。
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| 关 键 词： | 潮汐均衡性 共享单车 接驳 地铁出入口 非负矩阵分解 |
| 收稿时间： | 2023-02-27 |
| 修稿时间： | 2023-04-26 |
Spatio-temporal distribution model of tidal equalization of dockless sharing bicycles connected to rail transit |
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| WANG Hanjing,WU Qunyong,KUANG Jiaheng,ZHENG Hanjie,ZHANG Chen and YIN Yanzhong. Spatio-temporal distribution model of tidal equalization of dockless sharing bicycles connected to rail transit[J]. Journal of Fuzhou University(Natural Science Edition), 2024, 52(2) |
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| Authors: | WANG Hanjing WU Qunyong KUANG Jiaheng ZHENG Hanjie ZHANG Chen YIN Yanzhong |
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| Affiliation: | FUZHOU UNIVERSITY,FUZHOU UNIVERSITY,FUZHOU UNIVERSITY,FUZHOU UNIVERSITY,FUZHOU UNIVERSITY,FUZHOU UNIVERSITY |
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| Abstract: | With the rapid development of the city, the commuting efficiency is seriously affected by the situation of no car to rent and no land to return in the subway station during the commuting peak. Therefore, it is of great significance to study the tidal equilibrium characteristics of dockless sharing bicycles connected to rail transit, so as to provide scientific decision-making basis for the cycle scheduling. This paper takes Shenzhen City as the research area, and uses the cycling data connected to rail transit in the morning rush hour on weekdays. Based on the tidal equilibrium categories of subway stations and their entrances, the entrances are divided into three types from the perspective of single vehicle scheduling: no-dispatch, in-station dispatch, and out-of-station dispatch. This study also uses the method of non-negative matrix factorization to classify the spatio-temporal distribution of flow and determine the scheduling time. The research shows that focusing on the level of entrances to analyze the tidal equilibrium characteristics of dockless sharing bicycles connected to rail transit, so as to accurately divide the dispatching types of the entrances, determine the dispatching mode and the time of generating the dispatching demand, which can provide reliable data support for the single vehicle managers to conduct the vehicle scheduling. |
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| Keywords: | Tidal Equilibrium Dockless Sharing Bicycles Connection Subway Entrance Non-negative Matrix Factorization |
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