1. Research on Data-Driven Public Service Innovation Practice of Rural Tourism Culture
- Author
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Zhao Huijuan, Meng Qingxuan, and Ma Jinju
- Subjects
ahp model ,power method ,hierarchical analysis algorithm ,driving mechanism ,rural tourism ,01a12 ,Mathematics ,QA1-939 - Abstract
Data-driven approaches gradually accelerate the development of rural tourism, with sound public service becoming an essential requirement for the development of rural tourism culture. This paper first constructs a data-driven AHP model for rural tourism service evaluation based on the optimization process of power methods and hierarchical analysis algorithms. Second, this paper constructs a rural tourism public service driving force evaluation index system with 2 system layers, 8 indicator layers, and 44 measurement layers, as well as a tourist satisfaction evaluation system with 1 target layer, 7 project layers, and 20-factor layers. Next, we conduct a hierarchical analysis of the innovation driving force in rural tourism and cultural public services within the system. Based on the analysis results, we integrate the two evaluation systems to create a comprehensive rural tourism service driving mechanism. Finally, it proposes a strategy for innovation in rural tourism and cultural public service using data-driven approaches. Financial support is a key factor for rural tourism public services at the current stage of development, and special funds for rural tourism development have become the priority indicators to drive rural tourism public services. The average satisfaction value for the 20 factor-level evaluation indicators ranges from 3.85 to 4.22, with a wide variation in their importance. F12 and F2 have significant importance coefficients of 4.38 and 4.34, respectively. The standard deviation values of the satisfaction and importance coefficients fluctuate between 0.32 to 1.76 and 0.47 to 1.24, respectively. This paper emphasizes the importance of the results for innovation in public services in rural tourism.
- Published
- 2024
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