Identifying China’s polycentric cities and evaluating the urban centre development level using Luojia-1A night-time light data

Studying the structure of polycentric cities can promote a better understanding of urban development and contribute to urban planning. In this study, we identified polycentric cities in China and evaluated the urban centre development level of polycentric cities from new data and method. We used Luo...
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Autor*in:	Zhiwei Yang [verfasserIn] Yingbiao Chen [verfasserIn] Zihao Zheng [verfasserIn] Zhifeng Wu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	natural city night-time light data luojia-1a urban centre polycentric city

Übergeordnetes Werk:	In: Annals of GIS - Taylor & Francis Group, 2021, (2022), 0, Seite 11
Übergeordnetes Werk:	year:2022 ; number:0 ; pages:11

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1080/19475683.2022.2026472

Katalog-ID:	DOAJ047804106

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callnumber-first	G - Geography, Anthropology, Recreation
author	Zhiwei Yang
spellingShingle	Zhiwei Yang misc GA1-1776 misc natural city misc night-time light data misc luojia-1a misc urban centre misc polycentric city misc Mathematical geography. Cartography Identifying China’s polycentric cities and evaluating the urban centre development level using Luojia-1A night-time light data
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topic	misc GA1-1776 misc natural city misc night-time light data misc luojia-1a misc urban centre misc polycentric city misc Mathematical geography. Cartography
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title	Identifying China’s polycentric cities and evaluating the urban centre development level using Luojia-1A night-time light data
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title_full	Identifying China’s polycentric cities and evaluating the urban centre development level using Luojia-1A night-time light data
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title_sort	identifying china’s polycentric cities and evaluating the urban centre development level using luojia-1a night-time light data
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title_auth	Identifying China’s polycentric cities and evaluating the urban centre development level using Luojia-1A night-time light data
abstract	Studying the structure of polycentric cities can promote a better understanding of urban development and contribute to urban planning. In this study, we identified polycentric cities in China and evaluated the urban centre development level of polycentric cities from new data and method. We used Luojia-1A night-time light (NTL) data, combined with the concept of natural cities (NCs), to identify urban centres and thus identify polycentric cities in China. In addition, we used the urban centre development index (UCDI) to quantify the urban centre development level (UCDL) that represents the overall urban centre development level within a polycentric city. The polycentric cities in China are characterized by the spatial distribution pattern of a larger number in the east and fewer in the west. There are a large number of polycentric cities in eastern China, and the closer to the coastal areas, the more polycentric cities there are. The distribution of UCDL in China’s polycentric cities is characterized by significant spatial heterogeneity. UCDLs are generally smaller in polycentric cities in western China. In addition, polycentric cities in northeastern China have smaller UCDL. Polycentric cities with high UCDL are concentrated in the central and coastal regions of China.
abstractGer	Studying the structure of polycentric cities can promote a better understanding of urban development and contribute to urban planning. In this study, we identified polycentric cities in China and evaluated the urban centre development level of polycentric cities from new data and method. We used Luojia-1A night-time light (NTL) data, combined with the concept of natural cities (NCs), to identify urban centres and thus identify polycentric cities in China. In addition, we used the urban centre development index (UCDI) to quantify the urban centre development level (UCDL) that represents the overall urban centre development level within a polycentric city. The polycentric cities in China are characterized by the spatial distribution pattern of a larger number in the east and fewer in the west. There are a large number of polycentric cities in eastern China, and the closer to the coastal areas, the more polycentric cities there are. The distribution of UCDL in China’s polycentric cities is characterized by significant spatial heterogeneity. UCDLs are generally smaller in polycentric cities in western China. In addition, polycentric cities in northeastern China have smaller UCDL. Polycentric cities with high UCDL are concentrated in the central and coastal regions of China.
abstract_unstemmed	Studying the structure of polycentric cities can promote a better understanding of urban development and contribute to urban planning. In this study, we identified polycentric cities in China and evaluated the urban centre development level of polycentric cities from new data and method. We used Luojia-1A night-time light (NTL) data, combined with the concept of natural cities (NCs), to identify urban centres and thus identify polycentric cities in China. In addition, we used the urban centre development index (UCDI) to quantify the urban centre development level (UCDL) that represents the overall urban centre development level within a polycentric city. The polycentric cities in China are characterized by the spatial distribution pattern of a larger number in the east and fewer in the west. There are a large number of polycentric cities in eastern China, and the closer to the coastal areas, the more polycentric cities there are. The distribution of UCDL in China’s polycentric cities is characterized by significant spatial heterogeneity. UCDLs are generally smaller in polycentric cities in western China. In addition, polycentric cities in northeastern China have smaller UCDL. Polycentric cities with high UCDL are concentrated in the central and coastal regions of China.
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title_short	Identifying China’s polycentric cities and evaluating the urban centre development level using Luojia-1A night-time light data
url	https://doi.org/10.1080/19475683.2022.2026472 https://doaj.org/article/019414e1b3934ca6903878ca108f53a2 http://dx.doi.org/10.1080/19475683.2022.2026472 https://doaj.org/toc/1947-5683 https://doaj.org/toc/1947-5691
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Identifying China’s polycentric cities and evaluating the urban centre development level using Luojia-1A night-time light data

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