Visual Analysis And Planning Of Tourism Routes Based On Multi-source Data

In recent decades,the national economy has developed rapidly,the number of tourism consumers has continued to increase,and the scale of the tourism industry has also increased substantially.However,the current travel products provided by tourism products provided by tourism service providers have the following problems: Tourism routes are similar and severe homogeneity,which has resulted in scenic spots crowded and similar tourist experience,therefore the attractiveness to consumers has declined continually.Tourism route planning mainly relies on staff on-site visits and investigations of scenic spots,which not only requires a lot of investment and time,but also difficult to plan long route across cities and regions.According to problems above,in view of travel service providers,based on multi-source data such as tourism routes,user generated content(UGC),geographic information,etc.,we proposed visual analysis and planning methods of tourism routes,main work content and research results as follows:1)Construct visual analysis model of tourism routes based on multi-source data.The model integrates multi-source data such as tourism routes,UGC and geographic information,then using route visualization,emotional visualization,interactive planning and other methods,to finish the visual analysis and planning task,including route free choice,route analysis,route planning,destination sentiment analysis,etc.2)Towards visual analysis of tourist routes,a visualization method of tourism route based on frequent subgraph mining was proposed.This method integrates multiple technologies such as topic classification,data dimensionality reduction,frequent subgraph mining,data visualization,etc.With the help of dynamic interaction methods such as association and filtering,users are allowed to freely select routes in different dimensions,and mine frequent patterns from the collections.Various indicators of the route are analyzed and compared to find high-quality and innovative tourism routes.3)Towards tourist routes planning,a hierarchical visual analysis method of route planning,a route optimization method based on polar scanning genetic algorithm,and a visual analysis method of destination sentiment based on keywords are proposed.Hierarchical visual analysis method of route planning uses visualization methods to express the route as a clear hierarchical structure,display various information of route planning,and provide interactive function,enabling users to use route analysis,geographic exploration,destination analysis and other means to interact with systems then adjusting and planning a complete travel route.Route optimization method based on polar scanning genetic algorithm can optimize the route,improve the planning quality and reduce the interaction cost.The algorithm is divided into two stages.First,the polar scan is used to obtain the original solution set,and then the genetic algorithm is used to optimize the solutions in the set until convergence.visual analysis method of destination sentiment based on keywords integrates force-guided layout,word cloud and other visualization technologies,expressing tourists' emotional image composition of the tourist destination in the form of keywords,and cooperating with auxiliary views,different scales of multiple dimensions of the destination Analysis is achieved to assist users in destination analysis and route planning decision.Based on the above research,the "Tri Plan tourism routes visual analysis and planning system" was designed and implemented around the route development needs of travel service providers.Case study and user study based on real data verify that the system can support users to freely choose route analysis data,explore potential route patterns in the data,realize comparative analysis of routes and destinations,and achieve complete and detailed travel route plans.