Framework for modeling interdependencies between households, businesses, and infrastructure system, and their response to disruptions—application
| Autor: | Mateusz Iwo Dubaniowski, Hans Rudolf Heinimann |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Input–output model
media_common.quotation_subject Complex networks 0211 other engineering and technologies Urban model 02 engineering and technology Urban area Industrial and Manufacturing Engineering Infrastructure resilience Infrastructure modeling Input-output model Disruption modeling Safety Risk Reliability and Quality Resilience (network) Set (psychology) media_common 021110 strategic defence & security studies geography 021103 operations research geography.geographical_feature_category Complex network Interdependence Workflow Key factors Risk analysis (engineering) Business |
| Zdroj: | Reliability Engineering & System Safety, 212 |
| ISSN: | 0951-8320 |
| Popis: | Understanding the impact of disruptions to infrastructure systems, households, and businesses is critical to assess resilience of urban systems. However, modeling these complex interdependent systems and applying these models to real-world areas and disruption scenarios is challenging. To address these challenges, we present a workflow for application of a framework for modeling interdependencies between households, businesses, and infrastructure systems, and their impact on disruptions. Furthermore, we identify challenges in applying this framework to an area of Singapore and analyze the resulting cost of 8 disruption scenarios using metrics that we described. Our results showed and confirmed that our model and the devised metrics can be used to assess resilience of systems. In particular, they showed that the multi-system failures have the largest impact on urban areas, and that disruptions affect small vulnerable areas disproportionately. Moreover, they revealed that disruptions to utility systems were costlier than to easily reconfigurable businesses or transportation networks. We also identified and outlined key factors influencing application of the framework to an urban area. We identified some areas for future research focused on investigating a larger set of urban areas and systems. Reliability Engineering & System Safety, 212 ISSN:0951-8320 |
| Databáze: | OpenAIRE |
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