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- W4293259036 abstract "Many studies have attempted to categorize growing and shrinking cities primarily through population and economic indicators. However, previous approaches may have oversimplified the characteristics of city categories, such as growing or shrinking cities. Therefore, this study proposes a classification matrix based on the interaction between population and economic activity indicators to describe the characteristics of growing or shrinking cities adequately. The authors applied the matrix to categorize 228 administrative districts in South Korea, taking into account the distinct characteristics of the categorized growth and shrinkage patterns. The results show that these patterns can be subdivided into eight types of growing or shrinking cities, depending on which indicator between population or economic activity change is more predominant. The authors found that cities with declined population and increased economic activity could give rise to growth patterns. These findings suggest that the classification matrix can provide researchers and policymakers with a sophisticated analytical frame for diagnosing and classifying urban change, which can contribute to the enactment of appropriate urban and regional policies. • We propose a new classification matrix for growing and shrinking cities. • The matrix considers the interaction between population and economic activities. • Types like smartly growing cities and mitigative shrinking cities are identified. • The findings suggest that the matrix can contribute to appropriate urban policies." @default.
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- W4293259036 date "2022-09-01" @default.
- W4293259036 modified "2023-09-29" @default.
- W4293259036 title "Proposing the classification matrix for growing and shrinking cities: A case study of 228 districts in South Korea" @default.
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- W4293259036 doi "https://doi.org/10.1016/j.habitatint.2022.102644" @default.
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