Classification Schemes and Identification Methods for Urban Functional Zone: A Review of Recent Papers

• Published in: Applied sciences Vol. 11; no. 21; p. 9968
• Main Authors: Liu, Baihua, Deng, Yingbin, Li, Miao, Yang, Ji, Liu, Tao
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2021
• Subjects: Classification; classification scheme; Classification schemes; Data processing; Identification; identification method; Identification methods; Land use; Neighborhoods; Optimization; Remote sensing; Resource allocation; Reviews; Semantics; Social networks; Urban areas; urban functional zone; Urban planning; Urban structures; Urban studies; Urbanization
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app11219968

Urbanization is accelerating due to economic and societal development. The accurate identification of urban functional zones is significant for urban structure optimization, urban planning, and resource allocation. This paper reviews the scholarly literature on urban functional zone identification. Based on the retrieval results of databases, we analyzed the overview and current status. The identification methods and classification schemes are summarized from the existing research. The following results were obtained: (1) point of interest (POI) data are widely used for functional zone identification; (2) the block is the most common unit for functional zone identification; (3) cluster analysis is the main approach for urban functional zone identification; (4) most of the classification schemes are based on the dominant land use and characteristics of data sources. We predict future trends of urban functional zone identification based on the reviewed literature. Our findings are expected to be valuable for urban studies.