A POI Data-based Study of Identification and Distribution Characteristics of Urban Functional Districts

doi:10.11873/j.issn.1004-0323.2022.6.1482

Remote Sensing Technology and Application

2022, Vol. 37

Issue (6): 1482-1491 DOI: 10.11873/j.issn.1004-0323.2022.6.1482

A POI Data-based Study of Identification and Distribution Characteristics of Urban Functional Districts

Na Li(

),Kaiping Wu(

)

School of Economics and Management，Tianjin Chengjian University，Tianjin 300384，China

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Abstract

The central urban area of Tianjin is taken as the research object. Based on the abundant OSM road network data and POI big data， functional area identification is carried out at the fine scale. The road space generated by OSM road network data is used to divide the central urban area of Tianjin into 1960 research units. The density distribution and functional area distribution characteristics are analyzed by combining the POI data with weight assignment. The research results show that：（1） In the distribution of urban function density， except for the concentrated distribution of industrial functions in the periphery of the central city， the distribution of other urban functions shows the characteristics of gradual dispersion from the center to the periphery；（2） In a single functional area， commercial areas and public management and public service areas account for a relatively large proportion， while the other four single functional areas account for a small proportion；（3） Among the mixed functional areas， the mixed functional area mainly composed of business-public management and public services has the largest proportion；（4） Comparing the recognition results of functional areas with the Amap， it is found that the accuracy of the recognition results of urban functional areas is relatively high.

Key words: POI big data Urban functional area Distribution characteristics OSM road network data

Received: 22 July 2021 Published: 15 February 2023

ZTFLH:

TU984

Corresponding Authors: Kaiping Wu E-mail: llnn49@126.com;17865593885@163.com

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Cite this article:

Na Li,Kaiping Wu. A POI Data-based Study of Identification and Distribution Characteristics of Urban Functional Districts. Remote Sensing Technology and Application, 2022, 37(6): 1482-1491.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2022.6.1482 OR http://www.rsta.ac.cn/EN/Y2022/V37/I6/1482

Fig. 1 Schematic diagram of the study area

Table 1 POI data collection results in the central urban area of Tianjin

Fig. 2 Flow chart of urban functional area identification

Table 2 The POI weight was reclassified in the central city of Tianjin

Fig.3 Decision flow chart of the functional area

Fig. 4 Functional density distribution diagram of the central urban area of Tianjin

Fig.5 A Single Ribbon

Fig.6 Specific distribution of mixed function zones

Fig.7 Area identification comparison results

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