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。
In order to deeply analyze the impact of the appearance of shared bicycle on the travel structure of commuter 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 hierarchical 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 after 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 private 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 passengers from short-distance travel during the morning peak.In addition,the shared bicycle can increase the attractiveness of the subway in long-distance travel and reduce the travel of cars and taxis to a certain extent.
作者
姚恩建
李翠萍
郇宁
杨扬
李斌斌
YAO Enjian;LI Cuiping;HUAN Ning;YANG Yang;LI Binbin(School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China;Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Beijing Jiaotong University,Beijing 100044,China;Transportation Industry Key Laboratory for Intelligent Transportation Technology,Research Institute of Highway Ministry of Transport,Beijing 100088,China)
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2020年第7期85-92,142,共9页
Journal of South China University of Technology(Natural Science Edition)
基金
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。
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
shared bicycle
commuting corridor
travel mode
choice behavior analysis
NL model
commuting distance
