Recognition of Functional Areas in an Old City Based on POI: A Case Study in Fuzhou, China

作者：Hainan Huang, Jieling Huang, Bingfa Chen, Xuyang Xu, Weijin Li · 发表于：Journal of Urban Planning and Development · 年份：2024 · DOI：10.1061/jupddm.upeng-4593 · 被引用次数：13 · 研究领域：Human Mobility and Location-Based Analysis、Automated Road and Building Extraction、Traffic Prediction and Management Techniques

In the old urban areas in China, due to the lack of comprehensive land use planning in the initial stages, urban functional areas have become complicated and chaotic. The primary objective of this study was to identify and gain a deeper understanding of the functional areas within an old city through the utilization of points of interest (POI). To achieve this, a POI query and filtering method were developed, leveraging the Baidu Map Application Programming Interface (API). Subsequently, a dedicated POI query program was designed to determine the functions of different areas. The effectiveness of the proposed method was demonstrated through an empirical application in the city of Fuzhou, China. Over 1 million POI were initially collected from 40 traffic analysis zones (TAZs) within the old city area of Fuzhou. After rigorous screening, 21,479 POI were identified and retained for further analysis. The following results were obtained: (1) the recognition accuracy of the functional area reaches 91.7%, effectively identifying the type of functional area; (2) the 40 TAZs in the old central districts of Fuzhou are divided into four types of functional areas (commercial, 8 areas; comprehensive, 24 areas; residential, 4 areas; and tourist attraction, 4 areas); (3) the commercial plots in the old city are mainly distributed on both sides of the city’s central axis, which serves as the primary commercial-based main axis responsible for urban transportation; and (4) a high proportion of...