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Holiday travel behavior analysis under integrated multimodal travel information service

Holiday travel behavior analysis under integrated multimodal travel information service

Wang, Bobin ORCID: 0000-0003-4437-2490, Shao, Chunfu, Sun, Yixuan, Li, Juan and Ji, Xun (2014) Holiday travel behavior analysis under integrated multimodal travel information service. Journal of Transportation Systems Engineering and Information Technology, 14 (1). pp. 229-234. ISSN 1009-6744 (doi:https://doi.org/10.16097/j.cnki.1009-6744.2014.01.028)

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Abstract

Based on the RP-SP fusion data obtained from the holiday travel behavior survey in 2012, this paper takes the integrated multimodal travel information (IMTI) as the research condition and develops the Nested Logit model under IMTI based on the trip chain complexity and trip mode choices (Chain-Mode). The effectiveness of the model was identified by the inclusive value and dissimilarity parameter. The result shows that 9% of the travelers will cancel their travel in holidays and 13% will change their trip modes under the influence of IMTI. At the meantime, travel cost, parking fee, car ownership, gender, information demand, travel time and trip distance are dominant factors that influence the Chain-Mode choices in holidays. Higher parking fee and longer travel time and trip distance will encourage people to choose a complex chain. Besides, the trip mode with low travel cost and high information demand will have the high probability to be chosen.

Item Type: Article
Uncontrolled Keywords: traffic engineering, holiday; travel behavior, Nested Logit model, integrated multimodal travel information (IMTI), trip chain, trip mode
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: 22 Jun 2020 13:28
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/28213

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