Public Health Research on Night Tourism of Tourist Destinations Based on Big Data: Takes the Ancient City of Lijiang as an Example

Wenjin Chen, Qianwen Kan

2022

Abstract

With the continuous development of China’s tourism industry, the forms of tourism are also gradually diversified, among them, night tourism has become a widely popular way for tourists to travel. Compared with daytime travel, night travel has a more sense of atmosphere, but due to the dim light at night, it is easy to cause problems such as walking on air and stampede due to dense crowds. At the same time, due to the epidemic, night travel also increases the difficulty of managing tourists. Therefore, the study of night tourism helps to understand the trend of tourists’ night tourism, and then maintain the public health of destinations and tourists. This article in the ancient city of Lijiang as the research object, through data crawl software to collect a certain time tourists comments on ctrip comments, and through the emotion analysis and content analysis method to tourists in the ancient city of Lijiang at night travel location preference is analyzed, and by strengthening the management of these sites to the maintenance of the ancient city of Lijiang public health. The study found that: first, through high-frequency word analysis, experience projects, ancient buildings and beautiful scenery can better attract tourists; second, through the emotional analysis of tourists, a strong sense of atmosphere can more resonate with tourists, thus causing tourists to gather.

Paper Citation

in Harvard Style

Chen W. and Kan Q. (2022). Public Health Research on Night Tourism of Tourist Destinations Based on Big Data: Takes the Ancient City of Lijiang as an Example. In Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME; ISBN 978-989-758-636-1, SciTePress, pages 760-765. DOI: 10.5220/0012043700003620

in Bibtex Style

@conference{icemme22,
author={Wenjin Chen and Qianwen Kan},
title={Public Health Research on Night Tourism of Tourist Destinations Based on Big Data: Takes the Ancient City of Lijiang as an Example},
booktitle={Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME},
year={2022},
pages={760-765},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012043700003620},
isbn={978-989-758-636-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME
TI - Public Health Research on Night Tourism of Tourist Destinations Based on Big Data: Takes the Ancient City of Lijiang as an Example
SN - 978-989-758-636-1
AU - Chen W.
AU - Kan Q.
PY - 2022
SP - 760
EP - 765
DO - 10.5220/0012043700003620
PB - SciTePress