基于罗家- 1a夜间灯光数据的中国多中心城市识别与城市中心发展水平评价

IF 2.7 Q1 GEOGRAPHY
Zhiwei Yang, Yingbiao Chen, Zihao Zheng, Zhi-feng Wu
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引用次数: 5

摘要

研究多中心城市的结构有助于更好地理解城市发展,有助于城市规划。在本研究中,我们对中国多中心城市进行了识别,并从新的数据和方法对多中心城市的城市中心发展水平进行了评价。我们使用珞家1a夜间灯光(NTL)数据,结合自然城市(NCs)的概念,来识别城市中心,从而识别中国的多中心城市。此外,我们使用城市中心发展指数(UCDI)来量化城市中心发展水平(UCDL),该水平代表了多中心城市的整体城市中心发展水平。中国多中心城市具有东多西少的空间分布格局。中国东部有大量的多中心城市,越靠近沿海地区,多中心城市越多。中国多中心城市UCDL分布具有显著的空间异质性。在中国西部的多中心城市,ucdl通常规模较小。此外,东北多中心城市的UCDL较小。高UCDL的多中心城市主要集中在中国中部和沿海地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
Annals of GIS
Annals of GIS Multiple-
CiteScore
8.30
自引率
2.00%
发文量
31
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