Defining urban boundaries by characteristic scales. (June 2022)

• Record Type: Journal Article
• Authors: Chen, Yanguang; Wang, Jiejing; Long, Yuqing; Zhang, Xiaohu; Li, Xiaosong
• Is Part Of: Computers, environment and urban systems. Volume 94(2022)
• Publication Date: 2022-06
• Subjects: Urban boundary -- Urban form -- Characteristic scale -- Distance decay law -- Chinese cities; City planning -- Data processing -- Periodicals; Regional planning -- Data processing -- Periodicals; 303.4834
• DOI: 10.1016/j.compenvurbsys.2022.101799
• Languages: English
• ISSNs: 0198-9715

Abstract

Abstract: Defining an objective boundary for a city is a difficult problem, which remains to be solved by an effective method. Recent years, new methods for identifying urban boundary have been developed by means of spatial search techniques (e.g. CCA). However, the new algorithms are involved with another problem, that is, how to determine the characteristic radius of spatial search. This paper proposes new approaches to looking for the most advisable spatial searching radius for determining urban boundary. We found that the relationships between the spatial searching radius and the corresponding number of clusters take on an exponential function. In the exponential model, the scale parameter just represents the characteristic length that we can use to define the most objective urban boundary objectively. Two sets of China's cities are employed to test this method, and the results lend support to the judgment that the characteristic parameter can well serve for the spatial searching radius. The research may be revealing for making urban spatial analysis in methodology and implementing identification of urban boundaries in practice. Highlights: We propose new approaches to looking for the most advisable spatial searching radius for determining urban boundary The relationships between the spatial searching radius and the number of clusters take on an exponential function. The scale parameter of the exponential function represents the characteristic length. Using the characteristic length, we can use to define the most objective urban boundary. Two sets of China's cities are employed to test this method, and the results lend support to our judgment.