Tourism Development and Residents’ Happiness Index Based on Big Data Analysis

Abstract

AbstractWith the advent of the Industry 4.0 era and the advancement of our country’s urbanization process, the flow of information, capital and population in cities will accelerate. The strategic goals of urban planning and construction will increase the competitiveness of the city and increase its attractiveness. Influenced by humanistic concepts, cities have gradually become a complex of life, work and leisure. On the basis of abundant material resources, the growth of spiritual and cultural demand has encouraged the “tourism” of urban residents. Tourism and entertainment have begun to integrate into urban space and industry, which also affects the happiness index of residents. This article mainly adopts the literature reference research method and model setting method, uses big data technology to study tourism development and residents’ happiness index, establishes a mathematical model, uses model setting method to solve, and analyzes tourism development and residents’ happiness index research, and at the same time use historical data to revise the model to improve the accuracy of the evaluation of tourism development and residents’ happiness index. The experimental results show that the model setting method increases the research efficiency of tourism development and residents’ happiness index by 43%, and reduces the rate of false positives and false positives. Finally, by comparing the mechanism analysis of tourism development affecting residents’ happiness and the analysis of urban residents’ happiness index as a tourist destination, it illustrates the influence of big data technology on tourism development and residents’ happiness index research.KeywordsBig dataTourism developmentResidents’ happiness indexLiterature reference research method