Assessing Urban Vulnerability to Emergencies: A Spatiotemporal Approach Using K-Means Clustering
Today, urban areas across the world are increasingly vulnerable to emergencies due to expanding populations and the impact of climate change. This paper presents a data-driven method for assessing the susceptibility of urban regions to emergencies, using publicly available data and a clustering-base...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
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| Series: | Land |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-445X/13/11/1744 |
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