Delineating the Urban Areas of a Cross-Boundary City with Open-Access Data: Guangzhou–Foshan, South China

Pengfei Ban, Wei Zhan, Qifeng Yuan and Xiaojian Li
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Pengfei Ban: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Wei Zhan: School of Geography, South China Normal University, Guangzhou 510640, China
Qifeng Yuan: School of Architecture, South China University of Technology, Guangzhou 510006, China
Xiaojian Li: Architecture and Urban Planning Design Institute, Shandong Jianzhu University, Ji’nan 250014, China

Sustainability, 2021, vol. 13, issue 5, 1-17

Abstract: Cities defined mainly from the administrative aspect can create impact and problems especially in the case of China. However, only a few researchers from China have attempted to identify urban areas from the morphology dimension. In addition, previous studies have been mostly based on the national and regional scales or a single prefecture city and have completely ignored cross-boundary cities. Defining urban areas on the basis of a single data type also has limitations. To address these problems, this study integrates point of interest and nighttime light data, applies the breaking point analysis method to determine the physical geographic scope of the Guangzhou–Foshan cross-border city, and then compares this city with Beijing and Shanghai. Results show that Guangzhou–Foshan comprises one core urban area and six suburban counties, among which the core urban area extends across the administrative boundaries of Guangzhou and Foshan. The urban area and average urban radius of Guangzhou–Foshan are larger than those of Beijing and Shanghai, and this finding contradicts the city size measurements based on the administrative division system of China and those published on traditional official statistical yearbooks. In terms of urban density value, Shanghai has the steepest profile followed by Guangzhou–Foshan and Beijing, and the profile line of Guangzhou–Foshan has a bimodal shape.

Keywords: urban area; point of interest; nighttime light data; cross-boundary city (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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