Fast Identification of Urban Sprawl Based on K-Means Clustering with Population Density and Local Spatial Entropy

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Journal:Sustainability

Key Words:urban sprawl; K-means clustering; Floating Catchment Area (FCA); local spatial entropy; population d

Abstract:As urban sprawl is proven to jeopardize the sustainability system of cities, the identification of urban sprawl is essential for urban studies. Compared with previous related studies which tend to utilize more and more complicated variables to recognize urban sprawl while still retaining an element of uncertainty, this paper instead proposes a simplified model to identify urban sprawl patterns. This is a working theory which is based on a diagram interpretation of the classic urban spatial structure patterns of the Chicago School. The method used in our study is K-means clustering with gridded

Indexed by:Journal paper

Discipline:Engineering

Document Type:J

Number of Words:6000

Translation or Not:no

Date of Publication:2018-07-31

Included Journals:SSCI、SCI

Date of Publication:2018-07-31