Big Data Promotes the Balanced Development Path of Rural Tourism in Small Areas – An Empirical Study on Dali City Based on K-Means Cluster Analysis
- DOI
- 10.2991/978-94-6463-238-5_70How to use a DOI?
- Keywords
- Rural tourism; The balanced development; Big data; K-Means cluster analysis; Tourist Satisfaction
- Abstract
The balanced development of rural tourism plays an important role in realizing common prosperity for local people. Taking Dali City as an example, this paper studies how big data can promote the balanced development of rural tourism in small areas. Through field research in Dali City, 217 questionnaires were collected, and the analysis found that tourists to Dali City can be divided into the following five categories: traditional elderly tourists; young tourists with high potential for leisure punching in; middle-aged tourists with quality service type; young and middle-aged tourists with high freedom of experience; power middle-aged tourists. According to the characteristics of different groups, this paper puts forward different big data drainage methods, so as to provide ideas for realizing the balanced development of rural tourism in small regions.
- Copyright
- © 2024 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
TY - CONF AU - Wei Sun AU - Yaqiao Zhao PY - 2023 DA - 2023/09/26 TI - Big Data Promotes the Balanced Development Path of Rural Tourism in Small Areas – An Empirical Study on Dali City Based on K-Means Cluster Analysis BT - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023) PB - Atlantis Press SP - 501 EP - 506 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-238-5_70 DO - 10.2991/978-94-6463-238-5_70 ID - Sun2023 ER -