Research Article
Analysis of the Spatial Pattern and Influencing Factors of Tourist Attractions in the Yellow River Tourism Belt
@INPROCEEDINGS{10.4108/eai.8-12-2023.2344687, author={Liang Zhang and Shuangmei Wang and Wujun Xi and Jingchun Zhou}, title={Analysis of the Spatial Pattern and Influencing Factors of Tourist Attractions in the Yellow River Tourism Belt}, proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China}, publisher={EAI}, proceedings_a={MSIEID}, year={2024}, month={4}, keywords={tourism resources geographic information system (gis) spatial analysis influencing factor}, doi={10.4108/eai.8-12-2023.2344687} }- Liang Zhang
Shuangmei Wang
Wujun Xi
Jingchun Zhou
Year: 2024
Analysis of the Spatial Pattern and Influencing Factors of Tourist Attractions in the Yellow River Tourism Belt
MSIEID
EAI
DOI: 10.4108/eai.8-12-2023.2344687
Abstract
In light of the development of China's economy, the tourism industry has flourished throughout the nation, emerging as a pivotal catalyst for economic growth. The tourism sector has firmly established itself as one of the nation's most robust and substantial industries, playing an increasingly vital role in the socioeconomic landscape. This is particularly evident in the case of the Yellow River tourism belt, which boasts a plethora of diverse tourism resources, a wealth of cultural heritage, and a profound cultural legacy. Leveraging a dataset of 1,226 5A and 4A tourist attractions from the Yellow River Tourism Belt, this study utilizes various methodologies, including the average nearest neighbor, geographic concentration index, and kernel density, to explore spatial patterns and underlying factors. The findings of this research reveal a concentrated distribution of tourist attractions within the Yellow River Tourism Belt, with a pronounced concentration observed in the southern areas of the Yellow River. The spatial distribution of scenic spots in the Yellow River tourism belt is related to elevation, traffic and economic factors.