Do the Effects of ICT Use on Trip Generation Vary across Travel Modes? Evidence from Beijing

With the development of information and communication technologies (ICTs), considerable attention is being paid to the relationship between ICT use and travel behavior. However, it is unclear whether the effects of ICT use on trip generation vary across travel modes. Based on the data of 1022 respon...

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Main Authors: Chaoying Yin, Xiaoquan Wang, Chunfu Shao
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2021/6699674
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spelling doaj-2a62b681cdf0463e9a4920b1b93959022021-08-16T00:00:03ZengHindawi-WileyJournal of Advanced Transportation2042-31952021-01-01202110.1155/2021/6699674Do the Effects of ICT Use on Trip Generation Vary across Travel Modes? Evidence from BeijingChaoying Yin0Xiaoquan Wang1Chunfu Shao2College of Automobile and Traffic EngineeringKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive TransportKey Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive TransportWith the development of information and communication technologies (ICTs), considerable attention is being paid to the relationship between ICT use and travel behavior. However, it is unclear whether the effects of ICT use on trip generation vary across travel modes. Based on the data of 1022 respondents collected by a web-based questionnaire survey in Beijing, this study used a zero-inflated Poisson model to investigate the effects of ICT use on trip generation in different travel modes, in which ICT use was measured by both the time spent online and the Internet use frequency. The results indicated that the effects of ICT use on trip generation vary across auto, transit, and active trips. Moreover, two measurements of ICT use play essential roles in influencing a trip generation. Specifically, only the frequency of ordering food online showed a positive association with the likelihood of generating any transit trips. These findings demonstrate the importance of considering the differences across travel modes when analyzing the relationship between ICT use and trip generation.http://dx.doi.org/10.1155/2021/6699674
collection DOAJ
language English
format Article
sources DOAJ
author Chaoying Yin
Xiaoquan Wang
Chunfu Shao
spellingShingle Chaoying Yin
Xiaoquan Wang
Chunfu Shao
Do the Effects of ICT Use on Trip Generation Vary across Travel Modes? Evidence from Beijing
Journal of Advanced Transportation
author_facet Chaoying Yin
Xiaoquan Wang
Chunfu Shao
author_sort Chaoying Yin
title Do the Effects of ICT Use on Trip Generation Vary across Travel Modes? Evidence from Beijing
title_short Do the Effects of ICT Use on Trip Generation Vary across Travel Modes? Evidence from Beijing
title_full Do the Effects of ICT Use on Trip Generation Vary across Travel Modes? Evidence from Beijing
title_fullStr Do the Effects of ICT Use on Trip Generation Vary across Travel Modes? Evidence from Beijing
title_full_unstemmed Do the Effects of ICT Use on Trip Generation Vary across Travel Modes? Evidence from Beijing
title_sort do the effects of ict use on trip generation vary across travel modes? evidence from beijing
publisher Hindawi-Wiley
series Journal of Advanced Transportation
issn 2042-3195
publishDate 2021-01-01
description With the development of information and communication technologies (ICTs), considerable attention is being paid to the relationship between ICT use and travel behavior. However, it is unclear whether the effects of ICT use on trip generation vary across travel modes. Based on the data of 1022 respondents collected by a web-based questionnaire survey in Beijing, this study used a zero-inflated Poisson model to investigate the effects of ICT use on trip generation in different travel modes, in which ICT use was measured by both the time spent online and the Internet use frequency. The results indicated that the effects of ICT use on trip generation vary across auto, transit, and active trips. Moreover, two measurements of ICT use play essential roles in influencing a trip generation. Specifically, only the frequency of ordering food online showed a positive association with the likelihood of generating any transit trips. These findings demonstrate the importance of considering the differences across travel modes when analyzing the relationship between ICT use and trip generation.
url http://dx.doi.org/10.1155/2021/6699674
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AT xiaoquanwang dotheeffectsofictuseontripgenerationvaryacrosstravelmodesevidencefrombeijing
AT chunfushao dotheeffectsofictuseontripgenerationvaryacrosstravelmodesevidencefrombeijing
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