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Research on the application of AVC theory in data analysis of urban affairs and planning method

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Abstract

As a core component of the historical and cultural village, the quantitative evaluation method of the value of tourism resources has become the focus of the tourism planning study. At present, there is a lack of the characteristics of tourism resources in the process of tourism planning. A historical and cultural village tourism value evaluation method based on the theory is needed. In the scope of research, we expand the research object of the theory, and perfect the AVC theory and application research of the tourism resources of historical and cultural villages under the background of rural tourism planning. In depth of study, this paper analyzes the value characteristics of historical and cultural village tourism resources under AVC theory, and discusses the content system of tourism planning, which is a perfect study of the previous AVC theory. Finally, through the combination of theory and practice, we find the elements and influencing factors of tourism resources value, and make a quantitative evaluation of the value characteristics of tourism resources in historical and cultural villages. The study has reference value to quantify the evaluation of the value of historical and cultural village tourism resources and provide the basis for the historical and cultural village tourism planning method.

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Acknowledgements

The content of this paper is based on the National Science & Technology Pillar Program during the 12th 5-year Plan Period (2015BAL01B02), Social Development and Scientific Research Projects in Shaanxi Province (2015SF294), Fundamental Research Funds for the Central Universities (Humanities and Social Sciences) Projects (310841155032) and also on 2014 Subsidy Programs of Science and Technology Funds of Housing and Urban-Rural Development in Shaanxi Province-Soft Science (2014-R80).

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Correspondence to Quanhua Hou.

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Hou, Q., Yang, S., Fang, Y. et al. Research on the application of AVC theory in data analysis of urban affairs and planning method. Cluster Comput 22 (Suppl 3), 5279–5292 (2019). https://doi.org/10.1007/s10586-017-1224-6

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  • DOI: https://doi.org/10.1007/s10586-017-1224-6

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