Issue |
E3S Web Conf.
Volume 194, 2020
2020 5th International Conference on Advances in Energy and Environment Research (ICAEER 2020)
|
|
---|---|---|
Article Number | 04053 | |
Number of page(s) | 4 | |
Section | Environmental Protection and Pollution Control | |
DOI | https://doi.org/10.1051/e3sconf/202019404053 | |
Published online | 15 October 2020 |
Study on Tourists’ Waste Classification Behavior: An extension of the Theory of Planned Behavior model
School of Tourism & Urban-Rural Planning, Zhejiang Gongshang University, 310018 Hangzhou, China
* Corresponding author: cnwangz@163.com; dxuewang@163.com
Garbage problem is becoming more and more prominent. The most effective solution to the waste problem is waste minimization, and waste classification is the prerequisite and basis for waste minimization. At present, the effectiveness of waste classification in tourist destinations is not satisfactory. It is crucial to improve the level of tourists’ participation in destinations. In this study, we investigated tourists in Shanghai from the perspective of the factors that influence tourists’ waste classification. A total of 249 questionnaires were distributed through the questionnaire method. 236 questionnaires were valid questionnaires. We tested the hypotheses using structural equation modeling. The results of the study showed that waste classification attitude has a significant positive effect on intention, subjective norm has a significant positive effect on attitude toward waste classification, moral norm has a significant positive effect on attitude, and perceived behavioral control is not significantly related to intention. Finally, depending to the analysis of the influence of different factors on tourists’ participation in waste classification in Shanghai. We suggest strategies to increase the level of Shanghai tourists’ waste classification. This is of great theoretical and practical significance in order to accelerate the development of waste separation in Shanghai and improve the urban ecological environment.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.