Exploring Passengers’ Travel Behaviors Based on Elaboration Likelihood Model under the Impact of Intelligent Bus Information
Joint Authors
Hu, Xiaowei
Wu, Fan
Zhang, Duo
An, Shi
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-04
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The ubiquitous intelligent transportation infrastructure in metropolitan cities has enabled bus passengers to access comprehensive (even real-time) bus information.
However, the impact of different types of information on passenger behavior is still insufficiently understood.
Combining with the theory of information processing path, this study partially fills this gap by adopting an elaboration likelihood model (ELM) suitable for explaining how the various types of intelligent bus information influence passengers’ choice behavior.
Six types of intelligent bus information (information of bus lines, estimated travel time, estimated time of arrival, congestion inside bus, road congestion, and bus fare) are used as six independent variables, and passengers’ departure time, travel routes, and travel modes as dependent variables.
Valid questionnaire assessments were collected from 285 participants at 4 bus stops equipped with intelligent bus system in Harbin, providing quantitative data to verify each hypothesis.
The results show that six types of intelligent bus information to different degrees (significant influence, slight influence, and no significant influence) affect three types of passengers’ choice behaviors; the information of estimated travel time and that of road congestion are both significantly effective in all three types of choice behavior while bus fare has no significant influence.
Meanwhile, other types of information have a significant or slight effect on certain behavior.
The results of this study can be used to design more reasonable intelligent bus information provision strategies to meet passengers’ requirements.
American Psychological Association (APA)
Wu, Fan& Hu, Xiaowei& An, Shi& Zhang, Duo. 2019. Exploring Passengers’ Travel Behaviors Based on Elaboration Likelihood Model under the Impact of Intelligent Bus Information. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1170286
Modern Language Association (MLA)
Wu, Fan…[et al.]. Exploring Passengers’ Travel Behaviors Based on Elaboration Likelihood Model under the Impact of Intelligent Bus Information. Journal of Advanced Transportation No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1170286
American Medical Association (AMA)
Wu, Fan& Hu, Xiaowei& An, Shi& Zhang, Duo. Exploring Passengers’ Travel Behaviors Based on Elaboration Likelihood Model under the Impact of Intelligent Bus Information. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1170286
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170286