Open Access Paper
12 November 2024 Portrait positioning and demand analysis of bridge fusion target population based on internet big data
Jiawei Gao, Yinan Cheng, Jie Liu, Chao Chen
Author Affiliations +
Proceedings Volume 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) ; 1339540 (2024) https://doi.org/10.1117/12.3049771
Event: International Conference on Optics, Electronics, and Communication Engineering, 2024, Wuhan, China
Abstract
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.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jiawei Gao, Yinan Cheng, Jie Liu, and Chao Chen "Portrait positioning and demand analysis of bridge fusion target population based on internet big data", Proc. SPIE 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) , 1339540 (12 November 2024); https://doi.org/10.1117/12.3049771
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KEYWORDS
Bridges

Internet

Industry

Statistical analysis

Data conversion

Data processing

Data analysis

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