REFINED IDENTIFICATION AND FUNCTIONAL SUCCESSION ANALYSIS OF URBAN LAND USE TYPES BASED ON MULTI-SOURCE DATA

Yan-sui LIU, Shu-zhen JIN, Wei WANG, Shi-han ZHANG, Yan-xin XUE

HUMAN GEOGRAPHY ›› 2026, Vol. 41 ›› Issue (1) : 1-11, 33.

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HUMAN GEOGRAPHY ›› 2026, Vol. 41 ›› Issue (1) : 1-11, 33. DOI: 10.13959/j.issn.1003-2398.2026.01.001
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REFINED IDENTIFICATION AND FUNCTIONAL SUCCESSION ANALYSIS OF URBAN LAND USE TYPES BASED ON MULTI-SOURCE DATA

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Abstract

This study takes the central urban area of Zhengzhou City as its research object, integrating remote sensing imagery, POI data, and OSM road network data. It employs kernel density functions and precise identification rules to accurately classify land use functional types, combining various spatial statistical methods and location entropy analysis to explore the aggregation and diffusion characteristics of urban functional land use and the patterns of functional succession from 2012 to 2022. The research findings indicate: 1) The evolution of land use types exhibits significant differentiation and hybridization characteristics. 2) There is a lack of synchrony between functional spatial expansion and construction land expansion. 3) The restructuring of functional spaces exhibits differentiated patterns of aggregation and dispersion. 4) The evolution of dominant functions reflects a parallel trend toward specialization and diversification.

Key words

urban land use / refined identification / functional evolution / multi-source data / Zhengzhou city

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Yan-sui LIU , Shu-zhen JIN , Wei WANG , et al . REFINED IDENTIFICATION AND FUNCTIONAL SUCCESSION ANALYSIS OF URBAN LAND USE TYPES BASED ON MULTI-SOURCE DATA[J]. HUMAN GEOGRAPHY. 2026, 41(1): 1-11, 33 https://doi.org/10.13959/j.issn.1003-2398.2026.01.001

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