Paper
14 February 2024 Model study of urban tourism itinerary chain based on the background of big data
Hao Yin, HaiYong Shen
Author Affiliations +
Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130183K (2024) https://doi.org/10.1117/12.3024852
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China
Abstract
As China's economy continues to develop and people's living standards continue to improve, travel and tourism has become an important way for the public to relax and relieve the stress of life, and along with the introduction of smart tourism and the rapid development of information technology, new forms of tourism, mainly self-guided tours, have begun to emerge and flourish. This paper examines the optimisation of tourism routes to maximise the needs of contemporary people, taking into account the new contemporary fashions of routes and travel styles throughout history. In addition to planning viable and quality routes, people are provided with the best possible service and experience. This paper is guided by a new combination of research based on the context of big data, combining an in-depth study of computer modelling algorithms based on the creation of urban tourism itinerary chains.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hao Yin and HaiYong Shen "Model study of urban tourism itinerary chain based on the background of big data", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130183K (14 February 2024); https://doi.org/10.1117/12.3024852
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KEYWORDS
Data modeling

Design

Roads

Standards development

Information technology

Transportation

Classification systems

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