华南理工大学学报(自然科学版) ›› 2020, Vol. 48 ›› Issue (7): 85-92,142.doi: 10.12141/j.issn.1000-565X.190606

• 交通运输工程 • 上一篇    下一篇

共享单车对通勤走廊出行结构的影响

姚恩建1,2 李翠萍1 郇宁1,2 杨扬1,3 李斌斌1,2
  

  1. 1. 北京交通大学 交通运输学院,北京 100044; 2. 北京交通大学 综合交通运输大数据应用技术交通运输行业重点实验室,北京 100044; 3. 交通运输部公路科学研究所 智能交通技术交通运输行业重点实验室,北京 100088

  • 收稿日期:2019-09-16 修回日期:2020-01-28 出版日期:2020-07-25 发布日期:2020-07-01
  • 通信作者: 姚恩建(1971-),男,博士,教授,主要从事交通运输规划与管理研究。 E-mail:enjyao@bjtu.edu.cn
  • 作者简介:姚恩建(1971-),男,博士,教授,主要从事交通运输规划与管理研究。
  • 基金资助:
    国家重点研发计划项目 (2018YFB1601300); 智能交通技术交通运输行业重点实验室开放课题

Impact of Shared Bicycles on the Configuration of Travel Mode in Commuting Corridor

YAO Enjian1,2 LI Cuiping1 HUAN Ning1,2 YANG Yang1,3 LI Binbin1,2   

  1. 1. School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China; 2. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Beijing Jiaotong University,Beijing 100044,China;3. Transportation Industry Key Laboratory for Intelligent Transportation Technology,Research Institute of Highway Ministry of Transport,Beijing 100088,China
  • Received:2019-09-16 Revised:2020-01-28 Online:2020-07-25 Published:2020-07-01
  • Contact: 姚恩建(1971-),男,博士,教授,主要从事交通运输规划与管理研究。 E-mail:enjyao@bjtu.edu.cn
  • About author:姚恩建(1971-),男,博士,教授,主要从事交通运输规划与管理研究。
  • Supported by:
    Supported by the National Key Research and Development Program of China (2018YFB1601300)

摘要: 为深入分析共享单车导入对通勤走廊出行结构的影响,文中将通勤方式选择行为解析为面向主要出行方式和末端接驳方式的联合选择行为,并构建双层 NL (Nested Logit) 模型以描述通勤者的分层决策过程; 在此基础上,选取不同通勤距离下的实际案例,计算共享单车出现前后通勤走廊内各主要出行方式及公共交通末端接驳方式的分担率。结果表明: 在短距离通勤中,共享单车的分担率达到 13. 2%,对于地面公交、私人自行车存在显著的替代效应,但对地铁的分担率影响较小; 在中长距离通勤中,共享单车更多被作为地铁的接驳方式,在促使地铁分担率上升 3. 6 个百分点的同时,也造成地面公交、私家车及出租车分担率下降。总之,共享单车的出现在便捷传统公共交通方式接驳的同时,可减少早高峰期间地面公交来自短距离出行的客流压力,提升地铁对长距离出行客流的吸引力,并可在一定程度上减少小汽车和出租车出行。

关键词: 共享单车, 通勤走廊, 出行结构, 选择行为分析, NL 模型, 通勤距离

Abstract: In order to deeply analyze the impact of the appearance of shared bicycle on the travel structure of com-muter corridor,the commuting mode choice behavior was interpreted as a joint selection behavior for the main tra-vel modes and the connection modes,and a two-layer NL (Nested Logit) model was constructed to describe the hi-erarchical decision-making process of commuters. On this basis,actual cases under different commuting distances were selected. The sharing rates of the main travel modes and transfer modes of public transportation before and af-ter the introduction of shared bicycles were calculated. The results show that the sharing rate of shared bicycles reaches 13. 2% in short distance commuting,which has a significant substitution effect on ground buses and pri-vate bicycles but has less impact on the sharing rate of the subway. In medium and long distance commuting,the shared bicycle is more likely to be used as a connection way of the subway,and it increases the sharing rate of the subway by 3. 6% and causes a decline in the sharing rate of ground buses,private cars and taxis. In general,the shared bicycle can facilitate the connection of traditional public transportation modes and reduce the pressure of pas-
sengers from short-distance travel during the morning peak. In addition,the shared bicycle can increase the attrac-tiveness of the subway in long-distance travel and reduce the travel of cars and taxis to a certain extent.

Key words: shared bicycle, commuting corridor, travel mode, choice behavior analysis, NL model, commu-ting distance

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