A Multi-Factor Subjective-Objective Fusion Weighting-Based Attraction Popularity Index Monitoring System

Abstract

In view of the current problems of many factors associated with the popularity index of tourist attractions, the difficulty of real-time accurate monitoring and the low degree of informatization, a monitoring system of the popularity index of tourist attractions based on the subjective and objective fusion weighting of multiple factors is proposed. Based on the subjective assignment and objective assignment of the popularity index correlation, the system uses the least squares method to derive the fusion weights and calculates the specific weights of each factor based on the actual measured data of the four major attractions in Nanjing. Meanwhile, a popularity index monitoring system consisting of a detection subsystem and an information processing subsystem is designed. After more than 30 days of experimental verification, the system is stable and reliable, and can significantly improve the informatization and intelligence of the attractions.