Design And Implementation Of Data Acquisition And Analysis Platform For Tourists' Spatio-temporal Behavior

In recent years,with the development of China's economic level and social progress,people's living standards have generally improved,and tourism has become a new type of leisure in people's leisure.At present,China's tourism industry has entered a new phase of mass development,with increasing travel demand and diversified tourism consumption.Due to factors such as free travel of trolleys on highways during the National Day holiday and May Day,etc.,the number of people who choose to travel on holiday is constantly increasing,and tourist attractions are overcrowded.This resulted in the management personnel being unable to effectively control the distribution of the personnel in the scenic spot,as well as handling the diversion and diversion of the tourists during the peak period and handling the emergency plan.The research of tourists' space behavior is particularly valued by the researchers of tourism geography.Researches on the spatial behavior of tourists have always been valued by researchers of tourism geography.How to efficiently and accurately collect traveler data in scenic spots and analyze hot spots in the space is crucial for researchers in urban space movement.In view of this situation,this paper designs and implements a tourist time-space behavior data acquisition and analysis system,according to business needs to determine the system should have five major functional modules,both system settings module,user location module,survey questionnaire module,data acquisition module and Data analysis module.The system's data acquisition module uses the http protocol to provide an API interface for mobile phone clients to collect user behavior data.For the acquisition of position data,a corresponding filter-correction algorithm was designed to find out the "drift" position point and try to correct it to reduce the interference caused to the normal position point.The data processing module uses the Spring integration Quartz scheduling framework to implement scheduling of data processing tasks for the collected user data in units of research groups and research space.Among them,the analysis of frequently-going hotspot locations in the specified research space combines Canopy and K-means clustering algorithms,which are used in combination to improve the reliability of the analysis results.The system configuration module provided by the back-end management platform can intelligently control the collection frequency of position data,making the data collection work more flexible and efficient.The user location module uses the JavaScript API provided by Gore Maps to achieve the functions of viewing online locations and trajectories of users on the map,providing support for researching the distribution of users in time and space,and facilitating research and management personnel's analysis and decision-making..In addition,the system also provides a questionnaire module with a logical jump function,through which the administrator can design and publish a questionnaire for the user to collect some additional information of the user.The system combines tourism behavior research with the Internet,which has the advantages of low cost and no manual operation.The system adopts a development model with separate front and back ends.The front end uses the popular EasyUI development framework.The back end adopts Java as the development language and uses the enterprise lightweight development framework Spring.The test results show that the system can well complete the data collection and analysis.