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Resilience assessment of metro stations against rainstorm disaster based on cloud model: a case study in Chongqing, China
Extremely heavy rainfall has posed a significant hazard to urban growth as the most common and disaster-prone natural calamity. Due to its unique geographical location, the metro system is more vulnerable to waterlogging caused by rainstorm disaster. Research on resilience to natural disasters has a...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9786533/ https://www.ncbi.nlm.nih.gov/pubmed/36589619 http://dx.doi.org/10.1007/s11069-022-05765-2 |