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The Optimization of Shenyang’s Urban Public Space and Intelligent Cultural Tourism Based on the Big Data and GIS

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DOI: 10.25236/icfmhss.2025.002

Author(s)

Lu Ying

Corresponding Author

Lu Ying

Abstract

With the rapid development of the digital economy, the combination of landscape optimization of urban public space and smart cultural tourism has become an important way to improve the quality of the city and enhance the attractiveness of tourism[1]. As an important city in Northeast China, Shenyang has rich historical and cultural resources and industrial heritage, and is also actively promoting the construction of real-life 3D data in digital transformation. Based on big data and GIS technology[2], this paper discusses the landscape optimization strategy of Shenyang’s urban public space, and puts forward innovative paths such as data-driven planning methods, dynamic passenger flow management, and digital twin applications based on the development needs of smart cultural tourism, in order to provide theoretical support and practical reference for Shenyang’s urban renewal and cultural tourism industry upgrading.

Keywords

Big Data; GIS; Shenyang; Public Spaces; Landscape Optimization; Smart Cultural Tourism