Paper
16 January 2025 Research on the spatial distribution and influencing factors of B&Bs in Liangshan prefecture based on GIS spatial analysis and spatial econometric model
Youbin He, Yanzhen Yang
Author Affiliations +
Proceedings Volume 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024); 134474P (2025) https://doi.org/10.1117/12.3049158
Event: International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 2024, Wuhan, China
Abstract
With the "14th Five-Year Plan" tourism development plan, the distribution of B&B has gradually become essential optimizing tourism spatial layout and promoting regional coordinated development. Based on the POI data and the GIS spatial analysis method, this paper analyzes the spatial distribution and influencing factors of B&Bs in Liangshan Prefecture. The results show that the spatial distribution trend of B&Bs in Liangshan is in the direction of "northeast-southwest", and the distribution of B&Bs has a high degree of aggregation, and the distribution is unbalanced. The spatial distribution of B&Bs showed a significant aggregation pattern, and formed a spatial distribution pattern with Xichang city as the core, Yanyuan County as the secondary core, Huili, Dechang and other places gathering in a small range. At the same time, the paper uses the geographical detector and the geographical weighted regression model to comprehensively analyze the factors affecting the spatial distribution of B&Bs in Liangshan Prefecture from the global scale and local scale. The results show that the spatial distribution of B&Bs is highly positively correlated with the density of scenic spots.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Youbin He and Yanzhen Yang "Research on the spatial distribution and influencing factors of B&Bs in Liangshan prefecture based on GIS spatial analysis and spatial econometric model", Proc. SPIE 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 134474P (16 January 2025); https://doi.org/10.1117/12.3049158
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KEYWORDS
Industry

Roads

Factor analysis

Spatial analysis

Statistical analysis

Geographic information systems

Transportation

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