Journal of Resources and Ecology ›› 2022, Vol. 13 ›› Issue (2): 238-246.DOI: 10.5814/j.issn.1674-764x.2022.02.007

• Urban Ecosystem • Previous Articles     Next Articles

A Spatial Analysis of Urban Color Harmony in Five Global Metropolises

CHEN Naige1,2(), XU Xiaofan1,2, TAN Minghong1,3,*(), WANG Xianming4   

  1. 1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    3. International College, University of Chinese Academy of Sciences, Beijing 100049, China
    4. Natural Resources and Planning Bureau of Heze, Heze, Shandong 274000, China
  • Received:2021-07-16 Accepted:2021-10-08 Online:2022-03-30 Published:2022-03-09
  • Contact: TAN Minghong
  • About author:CHEN Naige, E-mail: chenng.19s@igsnrr.ac.cn
  • Supported by:
    The Strategic Priority Research Program of Chinese Academy of Sciences(XDA20040400)

Abstract:

Harmonious urban color can reduce urban light pollution, relieve the urban heat island effect, improve the living quality and form a distinctive style. However, due to the manifold architectural styles, urban color in metropolises typically becomes complicated, which may destroy the color harmony of metropolises. Up to now, there has not been enough research on the quantitative expression of the degree of color harmony, and the research on comparing the urban color characteristics of different metropolises is also relatively insufficient. This paper firstly developed a method to quantitatively measure the degrees of color harmony (DCHs) of five metropolises in 2020: London, Tokyo, Chicago, Paris, and Beijing, by writing a Python program and using the Sentinel-2A remote sensing data. GIS buffers were then used to analyze the spatial distribution of the DCHs within each metropolis. In addition, 20 typical samples were selected to analyze the differences of the DCHs between residential and industrial areas. The results showed that: (1) The values of the DCHs of London and Tokyo were the highest, followed by Chicago and Paris, while Beijing was the lowest. (2) The values of the DCHs were increasing from the inside out in Chicago, Paris, and London, while those in Beijing and Tokyo were decreasing. (3) The values of the DCHs in industrial areas were much lower than in residential areas. Based on the above results, policy implications are provided for color management of these metropolises. Lastly, this study may provide a method for the rapid analysis the DCHs for other metropolises.

Key words: spatial analysis, urban color harmony, global metropolis, cityscape