A novel probabilistic method for assessing the seismic resilience of subway systems across four dimensions
Bibliographic Data
| ID | 22027070 |
|---|---|
| Authors | Jun Song (0009-0001-2425-924X, Beijing University of Technology), Huiquan Miao (0000-0001-5722-1857, Beijing University of Technology, corresponding author), Zilan Zhong (0000-0001-7589-9143, Beijing University of Technology), Mi Zhao (0000-0002-7358-5885, Beijing University of Technology), Xiuli Du (0000-0003-2523-3575, Beijing University of Technology) |
| Year | 2025 |
| Volume | 131 |
| Pages | 105898 |
| Publication date | 2025-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Disaster Risk Reduction (JOURNAL) |
| Journal identifiers | ISSN: 2212-4209 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijdrr.2025.105898 |
| OpenAlex | W4415909287 |
| Language | EN |
| References cited | 51 |
Beijing · Population · Probabilistic logic · Disaster Management and Resilience · Evacuation and Crowd Dynamics · Infrastructure Resilience and Vulnerability Analysis
Framework for analytical quantification of disaster resilience
A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities
Resilience and Stability of Ecological Systems
Resilience modeling and improvement of metro systems considering statistical behaviors of passenger mobility
| Highly cited | No |
|---|