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Open AccessArticle

A Study of Tourists’ Holiday Rush-Hour Avoidance Travel Behavior Considering Psychographic Segmentation

1,2,3, 1,2, 2,* and 2
1
College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China
2
Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing University of Technology, Beijing 100124, China
3
School of Traffic, Qinghai Nationalities University, Xining 810007, China
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(13), 3755; https://doi.org/10.3390/su11133755
Received: 17 June 2019 / Revised: 3 July 2019 / Accepted: 4 July 2019 / Published: 9 July 2019
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Abstract

Tourists are confronted with congestion caused by concentrated travel during public holidays. In order to guide tourists to make voluntary changes regarding their travel times during holidays, this paper focuses on exploring holiday rush-hour avoidance travel behavior (HRATB) considering psychological factors. First, based on the theory of planned behavior, the effects of psychological factors including attitude, subjective norm, and perceived behavior control on holiday avoidance travel intention and behavior were quantitatively analyzed by the structural equation model. Second, according to those three subjective psychological factors and the three objective factors of age, monthly income, and tourist group, the segmentation method of the latent class model was adopted to explore tourists’ preferences with regard to HRATB. Finally, an empirical analysis was carried out through questionnaire data. The results show that attitude, subjective norm, and perceived behavior control have significant impacts on intention and behavior with regard to holiday avoidance travel. There are significant differences in psychological observation variables such as rush-hour avoidance travel intention, attitude and subjective norm among the four segments of tourists, and cost sensitivity. In addition, this paper puts forward some countermeasures and suggestions for the four types of tourists. Conclusions provide a theoretical basis for formulating travel measures to attract different types of tourists. View Full-Text
Keywords: rush-hour avoidance; holiday travel; psychological factors; segmentation; structural equation model; latent class model rush-hour avoidance; holiday travel; psychological factors; segmentation; structural equation model; latent class model
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Zhu, H.; Guan, H.; Han, Y.; Li, W. A Study of Tourists’ Holiday Rush-Hour Avoidance Travel Behavior Considering Psychographic Segmentation. Sustainability 2019, 11, 3755.

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