Intercity travel mode choice behavior based on the extended theory of planned behavior

The latent variables of perceived efficacy and perceived risk are introduced to enhance the theory of planned behavior in investigating the influencing factors of intercity travelers' mode choice behavior. A structural equation model is constructed to represent the relationship between five latent variables, attitude, subjective norms, perceived behavioral control, perceived efficacy and perceived risk, and intercity travel mode choice intentions. This model analyzes the correlation between latent variables in four intercity travel modes of high-speed rail/bullet trains, ordinary trains, civil aviation and private cars. The results indicate that in the four intercity travel modes, the latent variables explain a total variance of 72%, 77%, 69% and 84% in the intention to choose intercity travel modes, respectively. The intention to choose intercity travel modes is significantly impacted by the varying degrees of travelers' attitudes, subjective norms, and perceived behavioral control. The latent variable of "perceived risk" has a significant negative impact on the intention to choose all four intercity travel modes, while "perceived efficacy" has a significant positive impact on "perceived behavioral control" across the four intercity travel modes. The research findings can provide a basis for optimizing the structure of intercity travel modes and for formulating policies for managing intercity transportation demand.

Authors

Publication Details

Journal
JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING
Published
2024-11-01
DOI
https://doi.org/10.3724/sp.j.1249.2024.06712
Citations
2
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
1.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intercity travel mode choice behavior based on the extended theory of planned behavior

Jiangling WU, Yuying CHEN, Jiangtao WU, Fei FAN
2 citations
JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING
Transportation Planning and Optimization
1.37
article

Intercity travel mode choice behavior based on the extended theory of planned behavior

Jiangling WU, Yuying CHEN, Jiangtao WU, Fei FAN
article en
2 citations

Abstract

The latent variables of perceived efficacy and perceived risk are introduced to enhance the theory of planned behavior in investigating the influencing factors of intercity travelers' mode choice behavior. A structural equation model is constructed to represent the relationship between five latent variables, attitude, subjective norms, perceived behavioral control, perceived efficacy and perceived risk, and intercity travel mode choice intentions. This model analyzes the correlation between latent variables in four intercity travel modes of high-speed rail/bullet trains, ordinary trains, civil aviation and private cars. The results indicate that in the four intercity travel modes, the latent variables explain a total variance of 72%, 77%, 69% and 84% in the intention to choose intercity travel modes, respectively. The intention to choose intercity travel modes is significantly impacted by the varying degrees of travelers' attitudes, subjective norms, and perceived behavioral control. The latent variable of "perceived risk" has a significant negative impact on the intention to choose all four intercity travel modes, while "perceived efficacy" has a significant positive impact on "perceived behavioral control" across the four intercity travel modes. The research findings can provide a basis for optimizing the structure of intercity travel modes and for formulating policies for managing intercity transportation demand.

JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERINGVol. 41(6)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Transportation Planning and Optimization
1.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.