Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)

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Research on Tourism Competitiveness Evaluation of the Wanjiang City Belt Based on SPSS Analysis

Authors
WenYan Wang1, JinSheng Fang1, *, XueXia Wu2, Ying Xiong1, Yang Liu1, XinWang Xu1
1The Department of Education, Chizhou Vocational and Technical College, Chizhou, 247000, China
2Chizhou Household Economic Status Check Center, Chizhou, 247000, China
*Corresponding author. Email: 654705019@qq.com
Corresponding Author
JinSheng Fang
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-034-3_105How to use a DOI?
Keywords
SPSS Analysis Method; Tourism Competitiveness; Evaluation; Indication System; Wanjiang Cities
Abstract

According to the connotation and influencing factors of urban tourism competitiveness, the urban tourism competitiveness evaluation system is constructed from the dimensions of resource support, environmental support, economic support, service support and performance development, based on the 2019 data of the 5 cities—Anqing, Chizhou, Tongling, Wuhu and Ma'anshan along Long River in Anhui, using SPSS analysis method for quantitative analysis. The results show that The overall scores of the tourism competitiveness of the 5 cities in descending order are Anqing, Wuhu, Chizhou, Ma'anshan, and Tongling, with scores of 7.052753, 6.12136, 5.382279, 2.921913, and -0.18253, respectively.For improving the contribution of tourism industry to regional economic development, it is proposed to build the concept of integration of the Yangtze River Economic Belt, and enhance the overall competitiveness of tourism in terms of the development of advanced tourism routes, high-quality development with regional characteristics, the creation of smart tourism platforms, and the construction of tourism talent teams.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
23 December 2022
ISBN
978-94-6463-034-3
ISSN
2589-4900
DOI
10.2991/978-94-6463-034-3_105How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - WenYan Wang
AU  - JinSheng Fang
AU  - XueXia Wu
AU  - Ying Xiong
AU  - Yang Liu
AU  - XinWang Xu
PY  - 2022
DA  - 2022/12/23
TI  - Research on Tourism Competitiveness Evaluation of the Wanjiang City Belt Based on SPSS Analysis
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 1024
EP  - 1039
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_105
DO  - 10.2991/978-94-6463-034-3_105
ID  - Wang2022
ER  -