Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 8, 2023


Pages


DOI

Article

Evaluation Indicator System and Theoretical Model of Ice-Snow Tourism Destination Suitability Applying Time Series Data--Taking Jilin Province as an Example

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Authors

Rui He Affiliation:
College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun, Jilin, 130118, China.
and Hongyan Liu Affiliation:
College of Economics and Management, Jilin Agricultural University, Changchun, Jilin, 130118, China.


Abstract

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.


Keywords

Time series data, Analytic hierarchy process, Tourism destination suitability, Evaluation index system, Niche suitability, Ice-snow tourism, 68T05


Citation

He, R. & Liu, H. (2023). Evaluation indicator system and theoretical model of ice-snow tourism destination suitability applying time series data--taking jilin province as an example. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01056
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