Identification of Urban Functional Zones Considering Point of Interest Differences: A Case Study of Nanjing City

ABSTRACT Identification of urban functional zones is of paramount significance to urban planning and construction. Point of Interest (POI) data, a type of geospatial data widely employed in recent years for urban functional zone identification, are often used in urban functional zone identification. However, the variability among different types of POIs is often not explored in existing research. This paper explores a novel approach for identifying urban functional zones that reflects the differential roles of various POIs. This approach involves identifying core POIs that represent significant features within a region and constructing spatial co‐location combinations based on these core POIs to identify urban functional zones. The experimental results demonstrate that this method achieves an accuracy of 90.57% in identifying urban functional zones in Nanjing, outperforming methods that do not consider POI differentiation under similar conditions. By considering and analyzing the differential roles of various POIs in the identification process, this study offers a new perspective for research on urban functional zone identification.

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Publication Details

Journal
Transactions in GIS
Published
2025-05-01
DOI
https://doi.org/10.1111/tgis.70066
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification of Urban Functional Zones Considering Point of Interest Differences: A Case Study of Nanjing City

Mengfan Guan, Yunpeng Zhang, A‐Xing Zhu, Tong Gao et al.
Transactions in GIS
Human Mobility and Location-Based Analysis
article

Identification of Urban Functional Zones Considering Point of Interest Differences: A Case Study of Nanjing City

Mengfan Guan, Yunpeng Zhang, A‐Xing Zhu, Tong Gao, Yan Sun
article en

Abstract

ABSTRACT Identification of urban functional zones is of paramount significance to urban planning and construction. Point of Interest (POI) data, a type of geospatial data widely employed in recent years for urban functional zone identification, are often used in urban functional zone identification. However, the variability among different types of POIs is often not explored in existing research. This paper explores a novel approach for identifying urban functional zones that reflects the differential roles of various POIs. This approach involves identifying core POIs that represent significant features within a region and constructing spatial co‐location combinations based on these core POIs to identify urban functional zones. The experimental results demonstrate that this method achieves an accuracy of 90.57% in identifying urban functional zones in Nanjing, outperforming methods that do not consider POI differentiation under similar conditions. By considering and analyzing the differential roles of various POIs in the identification process, this study offers a new perspective for research on urban functional zone identification.

Transactions in GISVol. 29(3)
Nanjing Tech University (CN), University of Wisconsin–Madison (US), Nanjing University of Finance and Economics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 87%
Human Mobility and Location-Based Analysis
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Identification of Urban Functional Zones Considering Point of Interest Differences: A Case Study of Nanjing City — Mengfan Guan, Yunpeng Zhang, et al. · Transactions in GIS (2025) | TGRS Research Map | TGRS