Issue |
E3S Web Conf.
Volume 251, 2021
2021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)
|
|
---|---|---|
Article Number | 02074 | |
Number of page(s) | 13 | |
Section | Environmental Ecological Analysis and Sustainable Development Research | |
DOI | https://doi.org/10.1051/e3sconf/202125102074 | |
Published online | 15 April 2021 |
Research on the tourism destination image and sustainable development of off-season ecotourism based on tourists’ perception -- A case study of Daoxiang Lake in Beijing
1 Student in Colledge of Resource Environment and Tourism at Capital Normal University, Beijing, China
2 Associate professor in Colledge of Resource Environment and Tourism at Capital Normal University, Beijing, China
a Corresponding author: zhaohx@cnu.edu.cn
b *Corresponding author: catherinelin@yeah.net
In this paper, we study the question of relationship and influence between tourists’ perception and the image of off-season ecotourism destination and sustainable development of tourism, which is based on the web text. Firstly, we analyze the tendency of high-frequency words as tourism perception and customer attitude using the data of network text which is from review websites. Secondly, we study the image perception differences of ecotourism destinations in low and peak seasons through text replacement, perceived category comparison, perceived emotion comparison, and social network and network semantics comparison. Finally, we provide relevant suggestions and opinions on the sustainable development of off-season ecotourism, which is from the aspects of tourism attraction management, tourism publicity and ecological environment protection.
© The Authors, published by EDP Sciences, 2021
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.