Portrait positioning and demand analysis of bridge fusion target population based on internet big data

In order to explore and enhance the accuracy and precision of target group positioning for highway bridge tourism, as well as to provide a more personalized and diverse experience of bridge tourism integration, this article will focus on the lack of research and practice in crowd portrait methods within the field of bridge tourism integration. It aims to utilize Internet big data resources, relying on technologies such as data collection, information extraction, classified statistics, and portrait generation to analyze the characteristics of the target population from two dimensions: tourists’ basic needs and expansion needs. Once the characteristics of the target population are defined, their travel demand, consumption demand, and tourism demand will be further analyzed. This analysis will lay a foundation for future functional positioning and format design of bridge tourism projects.