Functional Area Recognition and Use-Intensity Analysis Based on Multi-Source Data: A Case Study of Jinan, China

This paper proposes a GIS-based field model for hot-spot extraction based on POI data and analyzes the use intensity of functional areas by using Tencent location data to identify and describe the morphological characteristics and dynamic use intensity of facilities in urban functional areas. Taking the four districts of Jinan City Center as an example, we used the generalized symmetric structure spectrum and digital field-based hierarchical geo-information Tupu to extract facility hot spots. Tencent location data were then applied to quantify differences in the use intensity of functional areas between workday and weekend, as well as between daytime and nighttime. Finally, refined research on functional areas was realized from a dynamic point of view. Results showed that (1) the generalized symmetric structure spectrum and digital field-based hierarchical geo-information Tupu can identify and express the characteristics of the spatial distribution and hierarchical structures of urban facility hot spots at the horizontal and vertical levels, respectively; (2) overall, the distribution of all types of functional areas presents the characteristics of circular structures, which form a spatial pattern of multi-center groups and single/mixed functional areas; (3) aside from residential facilities, green space and square land facilities have the highest use intensity; this finding highlights the tourism characteristics of Jinan. Low-use intensity areas are distributed at the periphery of the four districts, while high-use intensity areas, the functional type of which is mainly business facilities, are mainly distributed around the urban area. These results are helpful to the development strategy of the city's efforts to adapt to economic change and provide a scientific basis for the functional orientation of Jinan City.

Automated summary

This paper proposes a GIS-based method for hot-spot extraction using POI data and analyzes the use intensity of urban functional areas using Tencent location data. The study reveals the morphological characteristics and dynamic use intensity of facilities in urban areas. Results indicate that different types of functional areas have distinct spatial patterns, with high-use intensity areas mainly concentrated around the urban core. This research provides a scientific basis for Jinan City's development strategy and functional orientation.