Exploration of Tourism Development Based on Data Analysis and Multi-Objective Planning

This study aims to construct a multi-objective planning model with the help of computer technology to provide effective strategies for tourism development. The study first applies the multi-objective planning algorithm to construct an efficient multi-objective optimization model by accurately determining the core variables such as revenue data, and at the same time quantifying them as constraints. Further, data analysis techniques are used to introduce a tourist attraction model that integrates semantic features, visual features, facility status indicators, and traffic posture indicators, to deeply mine and analyze the data from multiple locations, and to extend the model to each area with different characteristics for a comprehensive sensitivity analysis. The advantages of this study are outstanding, using multi-objective planning algorithms and data analysis tools to provide a model with high stability and wide applicability for the digital operation of tourism resources, and innovatively revealing the influence mechanism of regional differences on the digital operation of tourism resources.