Evaluation Indicator System and Theoretical Model of Ice-Snow Tourism Destination Suitability Applying Time Series Data--Taking Jilin Province as an Example
Publicado en línea: 08 nov 2023
Recibido: 02 ene 2023
Aceptado: 19 may 2023
DOI: https://doi.org/10.2478/amns.2023.2.01056
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© 2023 Rui He et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
This paper uses time series data to evaluate the suitability of ice-snow tourism destinations in Jilin Province. Firstly, based on the relevant data of snow and ice tourism development in Jilin Province, 5 dimensions, 15 indicators and 20 factors were selected to construct the model, and AHP and entropy method determined the combined weight value of each factor. Then, the evaluation model of the ice-snow tourism destination in Jilin Province was studied by using single-factor niche suitability and comprehensive niche suitability. Finally, the single-factor niche suitability and comprehensive niche suitability of ice-snow tourism destinations in Jilin Province were analyzed, respectively. Changchun has 6 ski resorts, receiving 41% of the total number of tourists in the province. Changchun’s GDP accounts for 50.3% of the province, and the road density reaches 1.182 kilometers/square kilometers. The proportion of grade 1-4 area in Jilin Province is 24.25%, 29.36%, 28.63% and 17.76%, respectively.