Tourism Route Planning Considering User Preference And Scenic Area Environmental Carrying Capacity

In recent years,the domestic tourism industry continues to develop at a high speed,and tourism has become one of the pillar industries in China.With the rapid growth of tourism demand,there are also many issues worthy of attention.On the one hand,most people can only arrange holidays for centralized tourism.Due to information asymmetry,some scenic spots are overcrowded with huge security risks,while other high-quality scenic spots are unattended for various reasons,resulting in the situation of resource vacancy;on the other hand,with the diversification of access to tourism information,information overload becomes more and more serious.Tourists need to spend a lot of time and energy to get useful information from a large number of tourism-related information,which brings great trouble to users traveling.Therefore,in view of these two problems,this paper considers the users preference information and scenic area environmental carrying capacity information in the process of route planning before the users travel,and uses ant colony algorithm to solve a reasonable and comfortable tour route that meets the users individual's needs.User preferences for each scenic spot type are often obtained by users rating data for each scenic spot type.Actually,the user's scoring data for scenic spots are often incomplete,which leads to the "cold start" problem.Aiming at the missed scoring of scenic spot type,this paper uses improved cosine similarity to solve the users who have similar preferences by adding correlation and similarity influence factors.According to the preference information of similar users,the users missing scoring items are inferred,and the user's complete preferences for scenic spot type are obtained.Considering that the same scenic spot often corresponds to many scenic spot types,this paper proposes a calculation method of scenic spot type preference fusion,and then solves the user preference factors for each scenic spot.In order to avoid overcrowding in scenic spots and even lead to safety accidents,this paper puts forward a calculation method of environmental carrying capacity factors of scenic spots.Firstly,the environmental carrying capacity of each scenic spot is calculated according to the tourist area and various indicators of the scenic spot;the number of tourists is predicted by Baidu index;then,the impact factors of the environmental carrying capacity of the scenic spot are obtained by comparing the predicted number of tourists with the environmental carrying capacity of the scenic spot.Baidu index has real-time characteristics,so the number of tourists predicted by Baidu index is not affected by the slow acquisition of historical data.The environmental carrying capacity factor of scenic spots can better reflect the actual crowding situation of scenic spots,and provide a reference for users to choose safe and comfortable scenic spots.Finally,the user preference factor,scenic area environmental carrying capacity factor and cost factor are added into the process of tourism route planning,and a method of tourism route planning with user experience and cost constraints is proposed.Firstly,the user experience factor is defined to reflect the influence of user preference and scenic area carrying capacity on route selection.Then,a mathematical model with user experience factor and cost factor as objective function is established,so that the route planning problem can be transformed into a multi-objective programming model with tourism experience and cost as objective.Finally,according to the mathematical model using ant colony algorithm to plan tourist routes.Taking some scenic spots above 4A level in Chengdu,Ganzi and Aba as examples,the specific itinerary planning schemes are given for users travel.Compared with the routes without two factors,the routes obtained by this method are more reasonable under the conditions of taking into account users personalized preferences and safety and comfort.