Study On Optimization Of Multi-Subject Collaborative Governance Mode Of Tourism In Chenzhou City,Hunan Province Driven By Big Data

With the development of our national economy,although tourism starts late,development is rapid.There are more and more tourism problems and tourism governance has become an inevitable choice for sustainable development of tourism.Nowadays,in the Internet era,because big data is different from traditional data,highlighting its diversity of data types,timeliness of acquisition,efficiency of analysis and other aspects,big data has become a trend.All walks of life are integrating with big data to actively promote industrial transformation and development,while tourism governance is no exception.At present,the use of big data in the tourism industry is often reflected in the analysis and solution of a micro problem.The macro research on the multi-subject collaborative governance mode of tourism with big data is still in its infancy,and there is no mature theoretical and practical path support for the time being.Secondly,Chenzhou City of Hunan Province has achieved remarkable achievements in the rapid development of tourism in recent years.However,in the aspect of tourism governance,there are some outstanding characteristics,such as late start,incomplete governance and single governance subject.Therefore,taking Chenzhou City of Hunan Province as an example,the study of multi-subject collaborative governance model of tourism driven by big data caters to the trend of The Times,and also provides a new perspective and window for tourism governance of tourism destinations :The core technology of big data includes four parts: big data acquisition,big data preprocessing,big data storage and big data analysis and mining.This paper mainly applies big data acquisition,big data pretreatment and big data analysis and mining technology.Firstly,this paper realizes the bulk collection of tourism web page data with the help of web crawler tool and network open API.Secondly,it cleans up the missing data,noise data and inconsistent data,and merges the data from different data sources.In the process of preprocessing,it cleans abnormal data constantly to ensure the accuracy of data analysis results.Finally,through the integrated use of various analysis methods,the paper achieves better visualization of different data analysis,especially the use of trend analysis and semantic engine mining analysis technology.This paper sorts out governance theory knowledge such as governance subject,governance mechanism and governance model in detail,and builds a multi-subject collaborative governance model of tourism driven by big data.It involves the core content of big data and tourism governance,which is mainly composed of three parts:data source layer,data analysis layer and main application layer.First of all,according to the source of the data,the tourism big data is divided into four categories,which are macro statistical data,government policy data,geospatial data and network text data.Secondly,integrated analysis methods such as macro statistics method,policy tool method,geospatial method and semantic analysis method are used to ensure the comprehensiveness of analysis results.Finally,multiple subjects will carry out detailed interpretation and mining according to the tourism problems mapped by the analysis results,and jointly negotiate,supervise and make decisions under the collaborative mechanism,so as to better improve the overall quality of tourism destination tourism.This paper takes Chenzhou City as a case for practice research,through the case of tourism big data acquisition,processing and analysis,it is found that the case of tourism has a short development time,fast growth,backward policy guidance,insufficient market supervision,uncoordinated regional development,lack of living facilities,single type of scenic spots,backward management of scenic spots prominent problems.Secondly,it constructs the realization path of tourism governance in Chenzhou City.According to the tourism problems presented in Chenzhou City,it makes corresponding countermeasures and suggestions to the local government,tourism enterprises,community residents and tourists,so as to promote the sustainable development of regional tourism.