Travel behaviour and multimodality: a conceptual framework and critical review of research

被引:1
|
作者
Huang, Yan [1 ]
Ma, Liang [1 ,3 ]
De Vos, Jonas [2 ]
机构
[1] Peking Univ, Coll Urban & Environm Sci, Beijing, Peoples R China
[2] UCL, Bartlett Sch Planning, London, England
[3] Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China
基金
中国国家自然科学基金;
关键词
Multimodality; travel behaviour; multimodal transport system; multimodal oriented development; shared mobility; CLASS CLUSTER-ANALYSIS; PUBLIC TRANSPORT; MODE CHOICE; SUSTAINABLE MOBILITY; MODALITY STYLES; CAR USE; DEMAND; TIME; PREFERENCES; STUDENTS;
D O I
10.1080/01441647.2023.2300088
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Promoting alternative travel modes to private cars is a crucial aspect of sustainable transport policies. The integration of different transport modes and services, facilitated by mobile apps and payment systems, has expanded travel options and fostered multimodal travel behaviour. Despite the increasing prevalence of multimodal transport in practice, there exists a shortage of systematic academic research on this subject. This paper seeks to fill this gap by presenting an overview of key themes related to multimodality in travel behaviour, providing valuable insights for both researchers and practitioners. Leveraging an in-depth analysis of 182 relevant papers extracted from the Web of Science database, this paper intricately formulates a comprehensive conceptual framework that delves into the definition and measurement of multimodality. Furthermore, it synthesises recent perspectives and insights pertaining to the factors shaping multimodality and its socio-environmental impacts. The paper suggests several potential research directions in multimodality, including a focus on the supportive environment for multimodal behaviour (termed multimodal-oriented development, MMOD), an examination of the socio-environmental effects of multimodality and MMOD, and an investigation of regional variations in knowledge and practices related to multimodality. By exploring these research avenues, this paper aims to advance our understanding of multimodal travel behaviour and contribute to the development of effective strategies and policies promoting sustainable transportation systems.
引用
收藏
页码:709 / 730
页数:22
相关论文
共 50 条
  • [31] Forest Therapy Trails: A Conceptual Framework and Scoping Review of Research
    Gobster, Paul H.
    Schultz, Courtney L.
    Kruger, Linda E.
    Henderson, John R.
    FORESTS, 2022, 13 (10):
  • [32] Gambling on sport sponsorship: A conceptual framework for research and regulatory review
    Lamont, Matthew
    Hing, Nerilee
    Gainsbury, Sally
    SPORT MANAGEMENT REVIEW, 2011, 14 (03) : 246 - 257
  • [33] Strategies for research participant engagement: A synthetic review and conceptual framework
    Wong, Charlene A.
    Song, William B.
    Jiao, Megan
    O'Brien, Emily
    Ubel, Peter
    Wang, Gary
    Scales, Charles D.
    CLINICAL TRIALS, 2021, 18 (04) : 457 - 465
  • [34] Interfaces of Strategic Leaders: A Conceptual Framework, Review, and Research Agenda
    Simsek, Zeki
    Heavey, Ciaran
    Fox, Brian Curtis
    JOURNAL OF MANAGEMENT, 2018, 44 (01) : 280 - 324
  • [35] Destructive polarization in digital communication contexts: a critical review and conceptual framework
    Esau, Katharina
    Choucair, Tariq
    Vilkins, Samantha
    Svegaard, Sebastian F. K.
    Bruns, Axel
    O'Connor-Farfan, Kate S.
    Lubicz-Zaorski, Carly
    INFORMATION COMMUNICATION & SOCIETY, 2024,
  • [36] Space-for-time substitution in geomorphologyA critical review and conceptual framework
    Xiaoli Huang
    Guoan Tang
    Tongxin Zhu
    Hu Ding
    Jiaming Na
    Journal of Geographical Sciences, 2019, 29 : 1670 - 1680
  • [37] Space-for-time substitution in geomorphology A critical review and conceptual framework
    Huang Xiaoli
    Tang Guoan
    Zhu Tongxin
    Ding Hu
    Na Jiaming
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2019, 29 (10) : 1670 - 1680
  • [38] Intergenerational transmission in consumer behaviour: An integrative conceptual framework and future research directions
    Guillemot, Samuel
    RECHERCHE ET APPLICATIONS EN MARKETING-ENGLISH EDITION, 2018, 33 (02): : 93 - 114
  • [39] Machine learning applications in activity-travel behaviour research: a review
    Koushik, Anil N. P.
    Manoj, M.
    Nezamuddin, N.
    TRANSPORT REVIEWS, 2020, 40 (03) : 288 - 311
  • [40] Applying mobile phone data to travel behaviour research: A literature review
    Wang, Zhenzhen
    He, Sylvia Y.
    Leung, Yee
    TRAVEL BEHAVIOUR AND SOCIETY, 2018, 11 : 141 - 155