Research On The Accurate Supply Of Tourism Public Service Driven By Big Data

In the era of mass tourism,the characteristics of the development of mass consumption and demand quality of China's tourism industry are becoming more and more obvious.The decisive victory to build a well-off society has injected development momentum into the tourism industry.The high-quality and rapid development of tourism cannot be separated from the mature and perfect tourism public service system,but China's tourism public service system has a late start and relatively lagged behind.The impact of new technologies in the new era has caused rapid growth in demand and insufficient effective supply.The contradictions continue to intensify.Faced with opportunities and challenges,how to use new technology tools to resolve the contradiction between supply and demand in China's tourism public service and achieve the governance effect of precise supply has become the purpose of China to deepen the supply-side structural reform and promote the modernization of government governance capabilities.Scholars at home and abroad generally pay attention to the issue of tourism governance,and use case analysis to analyze the relationship among the government,the market,and society in depth,and find the best way to achieve good governance.This article mainlyanalyzes the supply and demand status of tourism public service in China from the aspects of the supply types of tourism public service and the evaluation of the coupling degree between supply and demand systems.This research is supported by the new public service theory,system coupling theory and seamless government theory.Choosing the contradiction between supply and demand as a breach,use the literature research method to divide the type of tourism public service supply in China.Mainly select 2016-2018 China's tourism public service supply and demand data as the research object,try to build an evaluation index system of tourism public service supply and demand system,and use quantitative analysis method to measure the coordination of tourism public service supply and demand in China's 31 provinces.The study found that from 2016 to 2018,China's tourism public service suffered from insufficient supply,unbalanced supply and demand structure,and uneven regional development.This article attempts to use this as a breakthrough,combined with the technical advantages and application practices of Big Data,to analyze the suitability factors for the precise supply of big data-driven tourism public service.In order to ensure the full play of the driving role of big data,try to start from the operation logic and safeguard measures,and build the realization path of the precise supply of big data-driven tourism public service.