@article{Li_Wang_2025, title={Analysis of Shenzhen’s Tourism Strategy under the Coupling of Big Data and GIS}, volume={9}, url={http://dx.doi.org/10.22161/ijebm.9.1.4}, DOI={10.22161/ijebm.9.1.4}, abstractNote={<jats:p>The booming development of big data has brought unprecedented opportunities and broad perspectives to the study of tourism resources. By mining and deeply analyzing various data, potentially valuable information can be discovered, providing accurate cognition and clear direction for the development of the tourism industry. Combining geographic information system (GIS) technology can effectively conduct spatial analysis and visual display of tourism resources, which not only helps with destination planning and resource optimization but also provides strong support for the sustainable development of the tourism industry. This article is based on a literature review method, a GIS spatial analysis method, and a SWOT-AHP analysis method and combines multi-source big data (such as Gaode-Map POI data, OSM transportation road network data, etc.) with geographic spatial big data to analyze the current situation and strategies of tourism development in Shenzhen. Finally, based on the analysis results of the spatial distribution of tourism resources, transportation accessibility, SWOT analysis, and strategic quadrilateral, corresponding suggestions are proposed for the high-quality development strategy of tourism in Shenzhen.</jats:p>}, number={1}, journal={International Journal of Engineering, Business and Management}, publisher={AI Publications}, author={Li, Lepei and Wang, Ruei-Yuan}, year={2025}, pages={35–52} }