Consumer Satisfaction Evaluation System for Route Planning of Urban Tourist Attractions Based on Multiple Data Fusion

Abstract

Abstract To explore consumer feedback on route planning of urban tourist attractions in order to better propose optimization measures. This paper establishes the consumer satisfaction evaluation index system, determines the index weights based on the G1 method, CRITIC method and game theory method, and carries out evaluation calculation through the consumer satisfaction evaluation cloud model. This paper analyzes the satisfaction of consumers of different genders, age groups and incomes on each evaluation index and explores the credibility of this paper’s method by comparing and analyzing it with the satisfaction of online reviews. In terms of travel shopping satisfaction, the cloud droplets have the highest degree of aggregation, between 0.75-0.88 and a lower degree of aggregation, between 0.49-0.75, indicating that consumers are very satisfied. At the same time, the consumer satisfaction analyzed in this paper and the network review data satisfaction as a whole converge; the network review satisfaction and this paper’s analysis of the satisfaction in tourism services are around 84%-86%. The consumer satisfaction evaluation method constructed in this paper has a high degree of feasibility and accuracy.