Multisource data-driven resilience assessment and optimization of metro station public spaces: a case study of Suzhou metro
With the continuous expansion of the underground public space network, metro public spaces are increasingly confronted with challenges like extreme weather events and sudden surges in passenger flow. Existing research lacks a resilience evaluation model based on multisource data, making it difficult...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Taylor & Francis Group
2025-12-01
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| Серія: | Journal of Asian Architecture and Building Engineering |
| Предмети: | |
| Онлайн доступ: | http://dx.doi.org/10.1080/13467581.2025.2608446 |
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