Prioritizing simulation-based stress tests to assess the resilience of transport systems: a computation-free methodology
Abstract This paper introduces a computation-free method for evaluating and prioritizing simulation-based stress tests for resilience assessment of transport systems. It enables infrastructure managers to efficiently screen and rank stress tests, optimizing the selection process to maximize insights...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-04-01
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| Series: | Journal of Infrastructure Preservation and Resilience |
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| Online Access: | https://doi.org/10.1186/s43065-025-00128-0 |
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| _version_ | 1849699200364707840 |
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| author | Hossein Nasrazadani Maria Nogal Bryan T. Adey Stergios A. Mitoulis |
| author_facet | Hossein Nasrazadani Maria Nogal Bryan T. Adey Stergios A. Mitoulis |
| author_sort | Hossein Nasrazadani |
| collection | DOAJ |
| description | Abstract This paper introduces a computation-free method for evaluating and prioritizing simulation-based stress tests for resilience assessment of transport systems. It enables infrastructure managers to efficiently screen and rank stress tests, optimizing the selection process to maximize insights into system resilience while minimizing computational demands. Stress tests have been proven to be a practical tool for understanding and mitigating the impact of disruptive events, yet conducting all possible tests using simulations, particularly for complex systems including plausible scenarios to account for climate change and other stressors, is computationally impractical, thus discouraging their use in practice. To address this, the paper suggests a methodology to estimate the impact of stress tests on risks at no computation cost and rank them accordingly to be selected for more detailed assessment. It uses the results of an initial risk assessment and, through a novel implementation of importance sampling and Bootstrapping resampling, selects subsets of the initial results to mimic specific stress test conditions, estimating their impact on risks. The methodology was validated through application to a Swiss road network facing flooding, demonstrating its practical effectiveness in identifying stress tests with significant potential impact on risks, hence having higher priority for more detailed assessment. In the presented case study, the proposed method enabled instant screening of 80 stress test scenarios, saving approximately 56 weeks of computation. |
| format | Article |
| id | doaj-art-3df0540c788e448383b7b2bea5cc26f2 |
| institution | DOAJ |
| issn | 2662-2521 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Infrastructure Preservation and Resilience |
| spelling | doaj-art-3df0540c788e448383b7b2bea5cc26f22025-08-20T03:18:41ZengSpringerOpenJournal of Infrastructure Preservation and Resilience2662-25212025-04-016112310.1186/s43065-025-00128-0Prioritizing simulation-based stress tests to assess the resilience of transport systems: a computation-free methodologyHossein Nasrazadani0Maria Nogal1Bryan T. Adey2Stergios A. Mitoulis3ETH ZurichTU DelftETH ZurichUniversity of BirminghamAbstract This paper introduces a computation-free method for evaluating and prioritizing simulation-based stress tests for resilience assessment of transport systems. It enables infrastructure managers to efficiently screen and rank stress tests, optimizing the selection process to maximize insights into system resilience while minimizing computational demands. Stress tests have been proven to be a practical tool for understanding and mitigating the impact of disruptive events, yet conducting all possible tests using simulations, particularly for complex systems including plausible scenarios to account for climate change and other stressors, is computationally impractical, thus discouraging their use in practice. To address this, the paper suggests a methodology to estimate the impact of stress tests on risks at no computation cost and rank them accordingly to be selected for more detailed assessment. It uses the results of an initial risk assessment and, through a novel implementation of importance sampling and Bootstrapping resampling, selects subsets of the initial results to mimic specific stress test conditions, estimating their impact on risks. The methodology was validated through application to a Swiss road network facing flooding, demonstrating its practical effectiveness in identifying stress tests with significant potential impact on risks, hence having higher priority for more detailed assessment. In the presented case study, the proposed method enabled instant screening of 80 stress test scenarios, saving approximately 56 weeks of computation.https://doi.org/10.1186/s43065-025-00128-0ResilienceStress TestBootstrappingImportance samplingTransportation SystemsClimate Change |
| spellingShingle | Hossein Nasrazadani Maria Nogal Bryan T. Adey Stergios A. Mitoulis Prioritizing simulation-based stress tests to assess the resilience of transport systems: a computation-free methodology Journal of Infrastructure Preservation and Resilience Resilience Stress Test Bootstrapping Importance sampling Transportation Systems Climate Change |
| title | Prioritizing simulation-based stress tests to assess the resilience of transport systems: a computation-free methodology |
| title_full | Prioritizing simulation-based stress tests to assess the resilience of transport systems: a computation-free methodology |
| title_fullStr | Prioritizing simulation-based stress tests to assess the resilience of transport systems: a computation-free methodology |
| title_full_unstemmed | Prioritizing simulation-based stress tests to assess the resilience of transport systems: a computation-free methodology |
| title_short | Prioritizing simulation-based stress tests to assess the resilience of transport systems: a computation-free methodology |
| title_sort | prioritizing simulation based stress tests to assess the resilience of transport systems a computation free methodology |
| topic | Resilience Stress Test Bootstrapping Importance sampling Transportation Systems Climate Change |
| url | https://doi.org/10.1186/s43065-025-00128-0 |
| work_keys_str_mv | AT hosseinnasrazadani prioritizingsimulationbasedstressteststoassesstheresilienceoftransportsystemsacomputationfreemethodology AT marianogal prioritizingsimulationbasedstressteststoassesstheresilienceoftransportsystemsacomputationfreemethodology AT bryantadey prioritizingsimulationbasedstressteststoassesstheresilienceoftransportsystemsacomputationfreemethodology AT stergiosamitoulis prioritizingsimulationbasedstressteststoassesstheresilienceoftransportsystemsacomputationfreemethodology |