Research on the Preferences of College Students Travel Destination Choice Based on SP
Author(s)
Weiwei Zhang , Jia Yang , Yehua Du , Wenjing Xiong ,
Download Full PDF Pages: 01-11 | Views: 352 | Downloads: 107 | DOI: 10.5281/zenodo.5710006
Abstract
Tourist destinations are the center of urban tourism activities, and tourism activities have significant characteristics of remoteness. As an important carrier to communicate tourists from source to destination, traffic will inevitably have an important impact on the development of tourism. Based on the stated preference (SP) method, the experiment design was carried out with Changsha and Zhangjiajie as case sites, and a discrete choice model was constructed to conduct an empirical study on the preferences of high-speed rail(HSR) tourists, among college students, on various elements of tourist destinations. Investigate and study the impact of Changsha's Matthew effect caused by HSR on itself and Zhangjiajie. The final result found that popularity, reputation, cultural attributes, and connection tools have a significant impact on the choice of destinations for college students, while related infrastructure and reception facilities have little effect on tourists' destination preferences. Finally, according to the fitting results obtained by the discrete choice model, the tourism development of Changsha and Zhangjiajie is proposed Strengthen regional cooperation, and expand the tourism source market through internal and external linkages; Strengthen publicity and marketing efforts, and expand the tourism market share along the route.
Keywords
Tourist destination selection preference; High-speed rail(HSR) effects; stated preference(SP) method; Discrete choice model
References
i. Li, H. (2018). A study on the sense of distance in tourist experience. D. Dalian: Dongbei University Of Finance And Economics.
ii. (1973). The Choice of Journey Destination: A Theoretical and Empirical Analysis. The Review of Economics and Statistics, 55(1), 64-72.
iii. Louviere, J. J., & Hensher, D. A. (1983). Using discrete choice models with experimental design data to forecast consumer demand for a unique cultural event. Journal of Consumer Research, 10(3), 348-361.
iv. Hearne, R. R., & Salinas, Z. M. (2002). The use of choice experiments in the analysis of tourist preferences for ecotourism development in Costa Rica. Journal of Environmental Management, 65(2), 153-163.
v. Wang, D., Chen, T., & Lu, l., et al. (2015). Mechanism and HSR effects of spatial structure of regional tourist flow: Case study of Beijing-Shanghai HSR in China. Acta Geographical Sinica,70(2),214-233.
vi. Wang, D. (2014). The Influence of Beijing-Shanghai High-speed Railway on Tourist Flow and Time-space Distribution. Tour. Trib, 29(1),75-82.
vii. Meng, W., & Su, Q. (2009). On the Stratification and Measurement of Residents’ Preferences of Tourist Destinations in the Category of Historic Towns--A Case of Zhouzhuang. Tourism Tribune,24(5),54-60.
viii. Xu, S., & Zhou, M. (2011). The Application of Combined Analysis in the Development and Design of Tourism Products——A Case Study of Tusi Customs Water Street in Xincheng, Laibin, Guangxi. Economic Forum,486(1),124-128.
ix. Bai, Q., Wu, J., Luo, W., et al. (2020). Discrepancy of Tourism Destination Choice Among the Different Income Groups: A Case Study of Beijing, Wuhan and Xi’an. Human Geography,35(05),150-160.
x. Song, H., Lv, X., & Jiang, Y. (2016). The Effects of Characteristics of Tourists on Chinese Outbound Tourism Destination Choice Behavior: An Empirical Study Based on TPB Model .Tourism Tribune,31(02),33-43.
xi. Tang, B., Hui, H., & Zhou, H. (2010). AHP-based Research on Influencing Factors of Tourist Destination Selection. Journal of Southwest University for Nationalities (Humanities and Social Science), 31(05),159-162.
xii. Zhou, L., & Bi, J. (2017). The Influence of Cultural Distance on International Tourism Destination Choices: A Case study of Chinese Inbound Tourism Market. Journal of Zhejiang University(Humanities and Social Sciences),47(04),130-14.
Cite this Article: