Evaluation Indicator System and Theoretical Model of Ice-Snow Tourism Destination Suitability Applying Time Series Data--Taking Jilin Province as an Example
Affiliation:
1. 1 College of Chinese Medicinal Materials , Jilin Agricultural University , Changchun , Jilin , , China . 2. 2 College of Economics and Management , Jilin Agricultural University , Changchun , Jilin , , China .
Abstract
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.
Publisher
Walter de Gruyter GmbH
Subject
Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science
Reference17 articles.
1. Li, Y., Zhang, S., Han, J., Zhao, Y., Han, Q., & Wu, L., et al. (2022). A study of the temporal and spatial variations in the suitability of the environment in chinese cities for tourism and in strategies for optimizing the environment. International Journal of Digital Earth, 15. 2. Ilyas, A. M., Zhu, D., Khaskheli, M. A., Elahi, E., & Hassan, M. A. U. (2020). Statistical and qualitative evaluation of multi-sources for hydrological suitability inflood-prone areas of pakistan. Journal of Hydrology, 588(2020), 125117. 3. Ding, M., Xu, Y., & Shi, G. (2021). Real-time wireless sensor network-assisted smart tourism environment suitability assessment for tourism iot. Journal of Sensors(Pt.11), 2021. 4. Pantoja, Gomez, Contreras, Grimau, & Montenegro. (2017). Determination of suitable zones for apitourism using multi-criteria evaluation in geographic information systems: a case study in the o’higgins region, chile. CIENC INVESTIG AGRAR. 5. Du, J., Zhang, Y., Xi, Y., Kong, X., Chang, Z., & Ye, X. (2021). Preliminary construction of evaluation index system and method of regional suitability of straw storage and transportation mode. Bioresources(2).
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