Shrinking cities on the globe: Evidence from LandScan 2000–2019

Xiangfeng Meng, Zhidian Jiang, Xinyu Wang and Ying Long
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Xiangfeng Meng: School of Architecture, 422699Tsinghua University, Beijing, China
Zhidian Jiang: School of Architecture, 12442Tsinghua University, China; College of Architecture and Urban Planning, 12476Tongji University, Beijing, China
Xinyu Wang: School of Architecture, 12442Tsinghua University, Beijing, China

Environment and Planning A, 2021, vol. 53, issue 6, 1244-1248

Abstract: Shrinking cities have spread across the globe in recent decades, characterizing significant population loss, economic decline, and decay in spatial quality. To maintain global economic prosperity in the context of urban shrinkage and support decision making in the direction, it is necessary to accurately identify shrinking cities on a global scale. We utilize redefined natural city boundaries and the LandScan dataset to identify and map shrinking cities experiencing population loss on the globe. As a result, we have identified 5004 shrinking cities worldwide, with a total area of 126,930 km 2 during 2000–2019. The ratio of which in number and in area is 27% and 22%, respectively. The shrinking cities are clustered and mainly located in Europe, Eastern Asia, and northeastern United States. There are 41 countries with more than 20 shrinking cities on the globe. The number of shrinking cities in China reached 679, which is the most. Among the 41 countries, the median value of the natural cities’ shrinking ratios of Iraq, Iran, Austria, South Africa, Russia, Georgia, and Belarus is >50%, indicating that the urban population loss in these countries is relatively serious. Our findings can be used to inform decision makers and urban planners to adjust the “growth-oriented†planning paradigm and adopt precise strategies, to form a healthier urban development.

Keywords: Shrinking city; LandScan dataset; natural city; globe (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:53:y:2021:i:6:p:1244-1248

DOI: 10.1177/0308518X211006118

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