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@article{ART002952567},
author={Qi-Wei Jing and Zi-yang Liu and Cheng-Kang Zheng},
title={Liaohe National Park based on big data visualization Visitor Perception Study},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={4},
pages={133-142},
doi={10.9708/jksci.2023.28.04.133}

TY - JOUR
AU - Qi-Wei Jing
AU - Zi-yang Liu
AU - Cheng-Kang Zheng
TI - Liaohe National Park based on big data visualization Visitor Perception Study
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 4
PB - The Korean Society Of Computer And Information
SP - 133
EP - 142
SN - 1598-849X
AB - National parks are one of the important types of protected area management systems established by IUCN and a management model for implementing effective conservation and sustainable use of natural and cultural heritage in countries around the world, and they assume important roles in conservation, scientific research, education, recreation and driving community development. In the context of big data, this study takes China's Liaohe National Park, a typical representative of global coastal wetlands, as a case study, and using Python technology to collect tourists' travelogues and reviews from major OTA websites in China as a source. The text spans from 2015 to 2022 and contains 2998 reviews with 166,588 words in total. The results show that wildlife resources, natural landscape, wetland ecology and the fishing and hunting culture of northern China are fully reflected in the perceptions of visitors to Liaohe National Park; visitors have strong positive feelings toward Liaohe National Park, but there is still much room for improvement in supporting services and facilities, public education and visitor experience and participation.
KW - Big data;Visualization;National Park;Visitor Perception;Tourist Review
DO - 10.9708/jksci.2023.28.04.133
ER -

Qi-Wei Jing, Zi-yang Liu and Cheng-Kang Zheng. (2023). Liaohe National Park based on big data visualization Visitor Perception Study. Journal of The Korea Society of Computer and Information, 28(4), 133-142.

Qi-Wei Jing, Zi-yang Liu and Cheng-Kang Zheng. 2023, "Liaohe National Park based on big data visualization Visitor Perception Study", Journal of The Korea Society of Computer and Information, vol.28, no.4 pp.133-142. Available from: doi:10.9708/jksci.2023.28.04.133

Qi-Wei Jing, Zi-yang Liu, Cheng-Kang Zheng "Liaohe National Park based on big data visualization Visitor Perception Study" Journal of The Korea Society of Computer and Information 28.4 pp.133-142 (2023) : 133.

Qi-Wei Jing, Zi-yang Liu, Cheng-Kang Zheng. Liaohe National Park based on big data visualization Visitor Perception Study. 2023; 28(4), 133-142. Available from: doi:10.9708/jksci.2023.28.04.133

Qi-Wei Jing, Zi-yang Liu and Cheng-Kang Zheng. "Liaohe National Park based on big data visualization Visitor Perception Study" Journal of The Korea Society of Computer and Information 28, no.4 (2023) : 133-142.doi: 10.9708/jksci.2023.28.04.133

Qi-Wei Jing; Zi-yang Liu; Cheng-Kang Zheng. Liaohe National Park based on big data visualization Visitor Perception Study. Journal of The Korea Society of Computer and Information, 28(4), 133-142. doi: 10.9708/jksci.2023.28.04.133

Qi-Wei Jing; Zi-yang Liu; Cheng-Kang Zheng. Liaohe National Park based on big data visualization Visitor Perception Study. Journal of The Korea Society of Computer and Information. 2023; 28(4) 133-142. doi: 10.9708/jksci.2023.28.04.133

Qi-Wei Jing, Zi-yang Liu, Cheng-Kang Zheng. Liaohe National Park based on big data visualization Visitor Perception Study. 2023; 28(4), 133-142. Available from: doi:10.9708/jksci.2023.28.04.133

Qi-Wei Jing, Zi-yang Liu and Cheng-Kang Zheng. "Liaohe National Park based on big data visualization Visitor Perception Study" Journal of The Korea Society of Computer and Information 28, no.4 (2023) : 133-142.doi: 10.9708/jksci.2023.28.04.133