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Reconstruction mechanisms of holiday tour under integrated multimodal travel information service

Reconstruction mechanisms of holiday tour under integrated multimodal travel information service

Wang, Bobin ORCID: 0000-0003-4437-2490, Shao, Chunfu, Ji, Xun, Zhuge, Chengxiang and Yang, Ting (2015) Reconstruction mechanisms of holiday tour under integrated multimodal travel information service. Journal of Transportation Systems Engineering and Information Technology, 15 (4). pp. 99-105. ISSN 1009-6744 (doi:https://doi.org/10.16097/j.cnki.1009-6744.2015.04.015)

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Abstract

Integrated multimodal travel information (IMTI) is a key factor for holiday travel reconstruction. This study takes holiday tour as the study object, and investigates the reconstruction mechanisms of holiday tour under IMTI service based on the theory of decision hierarchy. An activity-based survey was conducted during the holiday in 2012, and a structural equation model was developed based on the survey data. The estimated model takes personal attributes, information influence and history dependence of activity and travel needs into account. Results suggest that IMTI has a significant negative effect on the holiday activity and travel behavior. The more IMTI perceived by the traveler, the simpler the tour spatiotemporal and structural complexity will be. In addition, under the influence of IMTI, reconstruction direction of holiday tour is not random, but relies on the past travel behavior or habit.

Item Type: Article
Uncontrolled Keywords: traffic engineering, reconstruction mechanisms, Structural Equation Modeling (SEM), tour, integrated multimodal travel information (IMTI), holiday
Subjects: H Social Sciences > H Social Sciences (General)
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of Systems Management & Strategy
Faculty of Business > Networks and Urban Systems Centre (NUSC)
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group
Last Modified: 29 Jul 2020 10:24
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/28211

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