Trip chain complexity: a comparison among latent classes of daily mobility patterns
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DOI: 10.1007/s11116-020-10084-1
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- Cui, Shuang & Tian, Lijun & Xu, Yan & Wang, Yacan, 2024. "Measuring acceptance of tradable credit scheme and its effect on behavioral intention through theory of planned behavior," Transport Policy, Elsevier, vol. 150(C), pages 174-188.
- Timmer, Sebastian & Merfeld, Katrin & Henkel, Sven, 2023. "Exploring motivations for multimodal commuting: A hierarchical means-end chain analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
- Biao Yin & Fabien Leurent, 2023. "What are the multimodal patterns of individual mobility at the day level in the Paris region? A two-stage data-driven approach based on the 2018 Household Travel Survey," Transportation, Springer, vol. 50(4), pages 1497-1526, August.
- Harsh Shah & Andre L. Carrel & Huyen T. K. Le, 2024. "Impacts of teleworking and online shopping on travel: a tour-based analysis," Transportation, Springer, vol. 51(1), pages 99-127, February.
- Zidan Mao & Fangyu Liu & Ying Zhao, 2023. "Happy city for everyone: Generational differences in rural migrant workers’ leisure in urban China," Urban Studies, Urban Studies Journal Limited, vol. 60(16), pages 3252-3271, December.
- Huang, Yuqiao & Gao, Linjie & Ni, Anning & Liu, Xiaoning, 2021. "Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 93(C).
- Chun-Chen Chou & Kento Yoh & Shotaro Hirokawa & Kenji Doi, 2023. "Co-evolution of Smart Small Vehicles and Human Spatial Experiences: Case Study on Battery-Sharing Electric Two-Wheelers Experiment," Sustainability, MDPI, vol. 15(20), pages 1-27, October.
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Keywords
Trip chaining behaviour; Trip chain complexity; Mode choice; Mobility pattern; Latent class cluster analysis;All these keywords.
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