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Holiday travel behavior analysis and empirical study under integrated multimodal travel information service

Holiday travel behavior analysis and empirical study under integrated multimodal travel information service

Wang, Bobin ORCID: 0000-0003-4437-2490, Shao, Chunfu, Li, Juan, Weng, Jinxian and Ji, Xun (2015) Holiday travel behavior analysis and empirical study under integrated multimodal travel information service. Transport Policy, 39. pp. 21-36. ISSN 0967-070X (doi:https://doi.org/10.1016/j.tranpol.2014.12.005)

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Abstract

Holidays are special periods and give rise to many kinds of non-mandatory trips, such as shopping trips and tourist trips. This study investigates the relationship between Integrated Multimodal Travel Information (IMTI) service and holiday travel behavior characteristics in a trip chain. The Exploratory Factor Analysis (EFA) method is first used to extract the common factors based on the RP-SP fusion data under the pre-trip IMTI and en-route IMTI services, respectively. The Structural Equation Modeling (SEM) method is then applied to examine causal effects and quantitative relationships between the influencing factors and trip chain characteristics based on the EFA results. The results show that pre-trip IMTI has a significant negative effect on the holiday travel behavior. The more pre-trip IMTI is obtained by the traveler, the simpler the trip chain spatiotemporal and structural complexity will be. In addition, although the effect of en-route IMTI is less than pre-trip IMTI, it still plays an important role compared to other factors. Therefore, providing IMTI is a new and good alternative to alleviate holiday traffic congestions.

Item Type: Article
Uncontrolled Keywords: holiday travel behavior, integrated multimodal travel information (IMTI), trip chain, exploratory factor analysis (EFA), structural equation modeling (SEM)
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: 21 May 2020 15:57
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: REF 2
URI: http://gala.gre.ac.uk/id/eprint/28209

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