With the continuous advancement of big data technology, the application scenarios of Point of Interest (POI) data have been steadily expanding. This study focuses on the area within the Second Ring Road of Xi’an. First, a road network map of the study area was generated using AutoCAD and then imported into Depthmap to construct an axial model for spatial syntax analysis. Subsequently, a comparative analysis of key road network indicators was conducted, including global integration, local integration, synergy, and choice. The results indicate that the road network within the Second Ring Road of Xi’an still retains the typical checkerboard layout inherited from the Ming Dynasty, with North-South Street and East-West Street serving as the core structure. Arterial roads exhibit high integration levels, and there is a strong correlation between global integration and local integration, suggesting a relatively complete road network structure. Furthermore, multi-category POI data closely related to daily life were collected from Amap (Gaode Maps), covering catering services, daily life services, science, education, culture, as well as sports and leisure. A visual comparative analysis reveals that the spatial distribution of POI data is generally consistent with road integration: road segments with high POI density correspond to higher integration values. Meanwhile, the development of the northern and southern parts of the study area is relatively unbalanced, with POI data distributed more sparsely in the northern region. Incorporating POI data into road accessibility analysis enhances the visualization of research results and renders the analysis more intuitive and convincing. Ultimately, this study aims to provide valuable references and decision support for the optimization and development of the road network within the Second Ring Road of Xi’an.