Does expressway congestion affect tourists' intention for holiday self-drive trips?—Evidence from a mixed-methods study
Bibliographic Data
| ID | 9405632 |
|---|---|
| Authors | Bin Zhou (0000-0002-5816-445X, corresponding author), Yuxin Wu (0000-0003-3681-1473), Yu Hu (0000-0001-8388-0696), Hu Yu (0000-0003-3159-8183), Qihao Xiong (0000-0002-0656-4195), Chris Ryan (0000-0001-6244-5214) |
| Year | 2025 |
| Volume | 262 |
| Pages | 106109-106109 |
| Publication date | 2025-12-10 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Acta Psychologica (JOURNAL) |
| Journal identifiers | ISSN: 0001-6918 • E-ISSN: 1873-6297 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.actpsy.2025.106109 |
| PMID | 41380635 |
| OpenAlex | W4417209676 |
| Language | EN |
| References cited | 96 |
This study examines holiday self-drive tourists' perceptions of expressway congestion and explores the underlying mechanisms through which these perceptions influence their intention to take future holiday self-drive trips. A mixed-methods design was employed. In the qualitative phase, in-depth interviews and grounded theory analysis identified a four-dimensional structure and corresponding measurement items of tourists perceived expressway congestion. In the quantitative phase, data collected from 414 self-drive tourists were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS. The results indicate that while expressway congestion provokes negative emotions and subsequently leads to negative word-of-mouth, it does not diminish the intention for additional holiday self-drive trips. Furthermore, optimism and frequency of self-drive trips serve as moderators between perceived environmental impact and negative emotions, and between negative emotions and negative word-of-mouth, respectively. This study makes the first systematic attempt to develop a measurement scale for perceived expressway congestion, thereby advancing the understanding of intention for holiday self-drive trips from a novel perspective. It also extends the application of Affective Events Theory (AET) and offers actionable insights for managing expressway congestion during peak holiday travel periods
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| Highly cited | No |
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