Rural Retirement Destination Project Recommendation and Project Development Based on Big Data Analysis

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Abstract

With the rapid development of the social economy and the continuous improvement of living standards, people are more concerned about the living conditions of the elderly. As young people are more busy with work, empty-nest families are gradually increasing. Therefore, the traditional home-based pension is not suitable for the old-age of today’s elderly, and with the booming tourism industry, the combination of the elderly’s old-age life and tourism has become a hot spot of current research. This paper firstly reviews related works and literature on tourism and old-age care for the elderly through literature search and web search and studies the rural tourism pension through window analysis, Euclidean distance method, and rasterization method. The target election index is calculated by using the analytic hierarchy process to calculate the index of the tourism pension suitability evaluation.

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Wang, Y., & Lin, H. (2020). Rural Retirement Destination Project Recommendation and Project Development Based on Big Data Analysis. In Lecture Notes in Electrical Engineering (Vol. 675, pp. 157–165). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-5959-4_20

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