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 |
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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 / School / Research Centre / 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 |
URI: | http://gala.gre.ac.uk/id/eprint/28209 |
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