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Vol. 34, No. 8(3), S&M3042

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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 34, Number 12(1) (2022)
Copyright(C) MYU K.K.
pp. 4339-4353
S&M3114 Research Paper of Special Issue
https://doi.org/10.18494/SAM4089
Published in advance: November 24, 2022
Published: December 7, 2022

Comparative Study on Functional Mixing Degree of Urban Land Use Based on Multi-source Data—Case Study of Zhuhai City, China [PDF]

Junrong Li, Peng Guo, Yanling Sun, Zifei Liu, Qiyi Chen, Ying Zhang, and Jie Liu

(Received August 21, 2022; Accepted October 3, 2022)

Keywords: mixed degree of urban functions, POIs, taxi GPS, mobile phone signaling data, Zhuhai

With increasing urbanization, the compact use of urban land has attracted increasing attention. The mixing degree of urban land use is an important way to realize intensive and efficient land use. In this study, three types of geographic spatiotemporal data, namely, point of interest (POI) data, taxi GPS data, and mobile phone signaling data, were used to identify and analyze the spatiotemporal differentiation characteristics of the functional mixing degree of urban land use in Zhuhai, China. We used correlation and regression analyses to demonstrate the rationality of using the three types of geographic spatiotemporal data in combination to evaluate the degree of functional mixing. We showed that the results obtained using the three types of geographic spatiotemporal data have different emphases, and their combined use can improve the accuracy of research results. On the whole, the functional mixing degree of land use in the study area was generally low and the spatial distribution varied, gradually decreasing away from the center of the old central city in the east of Zhuhai City to the central city in the west of Doumen District.

Corresponding author: Peng Guo, Yanling Sun


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Cite this article
Junrong Li, Peng Guo, Yanling Sun, Zifei Liu, Qiyi Chen, Ying Zhang, and Jie Liu, Comparative Study on Functional Mixing Degree of Urban Land Use Based on Multi-source Data—Case Study of Zhuhai City, China, Sens. Mater., Vol. 34, No. 12, 2022, p. 4339-4353.



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