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清华大学学报(自然科学版)  2022, Vol. 62 Issue (7): 1112-1120    DOI: 10.16511/j.cnki.qhdxxb.2022.26.005
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城际组合出行行为建模及应用研究进展
郇宁, 姚恩建
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
Advances in intermodal travel behaviour modelling
HUAN Ning, YAO Enjian
Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China
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摘要 随着城市间交流日益紧密,城际出行需求呈持续增长态势,高质量的城际出行服务对城际方式与市内接驳方式的一体化运行提出了更高的要求,将组合出行的研究视角由城市内拓宽到城市间具有重要的理论价值和现实意义。该文结合近年来国内外的相关研究,首先对组合出行的关联概念进行辨析,将城际组合出行行为界定为一种对于首端市内接驳方式、城际出行方式以及末端市内接驳方式中2种及以上出行方式的联合选择行为;其次,对代表性的城际组合出行行为模型进行综述,并以多方式运力协同优化为代表,归纳了行为建模研究的主要应用方向;最后,总结了现有研究中的不足,并对该领域未来的研究工作进行了讨论与展望。
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郇宁
姚恩建
关键词 旅客联程运输城际出行需求组合出行方式划分离散选择模型运力协同优化    
Abstract:The high level of connectivity between cities is leading to increased intercity travel with intercity passenger service requiring close collaboration station access and egress modes. Thus, there is a need to account for intermodal travel behaviour not only within the city, but also between cities. In this paper, intermodal travel behaviour is defined as a three-stage combined mode choice based on a review of related concepts in the literature. Representative intermodal travel behaviour models are reviewed with typical applications of these models. In addition, the gaps in existing studies are summarised with directions for future research.
Key wordsintermodal passenger transport    intercity travel demand    combined travel    modal split    discrete choice model    coordinated optimisation of transport capacity
收稿日期: 2021-09-17      出版日期: 2022-06-16
基金资助:国家自然科学基金资助项目(52172312);国家重点研发计划项目(2018YFB1601300)
通讯作者: 姚恩建,教授,E-mail:enjyao@bjtu.edu.cn      E-mail: enjyao@bjtu.edu.cn
作者简介: 郇宁(1994—),男,博士研究生。
引用本文:   
郇宁, 姚恩建. 城际组合出行行为建模及应用研究进展[J]. 清华大学学报(自然科学版), 2022, 62(7): 1112-1120.
HUAN Ning, YAO Enjian. Advances in intermodal travel behaviour modelling. Journal of Tsinghua University(Science and Technology), 2022, 62(7): 1112-1120.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2022.26.005  或          http://jst.tsinghuajournals.com/CN/Y2022/V62/I7/1112
  
  
  
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