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Article: A physics-based framework for analyzing the resilience of interdependent civil infrastructure systems: a climatic extreme event case in Hong Kong

TitleA physics-based framework for analyzing the resilience of interdependent civil infrastructure systems: a climatic extreme event case in Hong Kong
Authors
KeywordsResilience
Infrastructure systems
Physics-based
Interdependency
Climatic hazards
Issue Date2019
PublisherElsevier BV. The Journal's web site is located at http://www.journals.elsevier.com/sustainable-cities-and-society/
Citation
Sustainable Cities and Society, 2019, v. 47, article no. 101485 How to Cite?
AbstractOperationalizing resilience concepts and principles, in particular when interdependency is considered, remains a major challenge for the sustainable development of urban infrastructures and future cities. From theoretical perspective, not only does it call for sector-specific infrastructure asset management knowledge, traditional risk-based disaster analysis and emergency management techniques, but it also demands quality data and stakeholders’ competency to holistically integrate the information and analyze the data. To address these limitations, this research provides a physics-based synthesis framework for interdependent civil infrastructure system resilience analysis. The framework consists of four major components: (i) setting resilience analysis boundary through the prescribed criteria; (ii) establishing an infrastructure resilience management lifecycle; (iii) defining the physics-based modeling of infrastructure system functions; and (iv) designing the interfaces between interdependent infrastructure systems. The feasibility and applicability of the proposed framework are tested through a case study involving two interconnected infrastructure systems (i.e. stormwater drainage system and road transport system) located in Hong Kong. It incorporates relevant infrastructure information by using the ArcGIS platform which is integrated with the physics-based vulnerability analysis methods from the two distinct knowledge domains. Cascading effects of adverse events propagating through the two infrastructures are delineated using an empirical nominal damage function.
Persistent Identifierhttp://hdl.handle.net/10722/276071
ISSN
2019 Impact Factor: 5.268
2015 SCImago Journal Rankings: 0.804
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYang, Y-
dc.contributor.authorNg, ST-
dc.contributor.authorZhou, S-
dc.contributor.authorXu, FJ-
dc.contributor.authorLi, H-
dc.date.accessioned2019-09-10T02:55:22Z-
dc.date.available2019-09-10T02:55:22Z-
dc.date.issued2019-
dc.identifier.citationSustainable Cities and Society, 2019, v. 47, article no. 101485-
dc.identifier.issn2210-6707-
dc.identifier.urihttp://hdl.handle.net/10722/276071-
dc.description.abstractOperationalizing resilience concepts and principles, in particular when interdependency is considered, remains a major challenge for the sustainable development of urban infrastructures and future cities. From theoretical perspective, not only does it call for sector-specific infrastructure asset management knowledge, traditional risk-based disaster analysis and emergency management techniques, but it also demands quality data and stakeholders’ competency to holistically integrate the information and analyze the data. To address these limitations, this research provides a physics-based synthesis framework for interdependent civil infrastructure system resilience analysis. The framework consists of four major components: (i) setting resilience analysis boundary through the prescribed criteria; (ii) establishing an infrastructure resilience management lifecycle; (iii) defining the physics-based modeling of infrastructure system functions; and (iv) designing the interfaces between interdependent infrastructure systems. The feasibility and applicability of the proposed framework are tested through a case study involving two interconnected infrastructure systems (i.e. stormwater drainage system and road transport system) located in Hong Kong. It incorporates relevant infrastructure information by using the ArcGIS platform which is integrated with the physics-based vulnerability analysis methods from the two distinct knowledge domains. Cascading effects of adverse events propagating through the two infrastructures are delineated using an empirical nominal damage function.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.journals.elsevier.com/sustainable-cities-and-society/-
dc.relation.ispartofSustainable Cities and Society-
dc.subjectResilience-
dc.subjectInfrastructure systems-
dc.subjectPhysics-based-
dc.subjectInterdependency-
dc.subjectClimatic hazards-
dc.titleA physics-based framework for analyzing the resilience of interdependent civil infrastructure systems: a climatic extreme event case in Hong Kong-
dc.typeArticle-
dc.identifier.emailNg, ST: tstng@hku.hk-
dc.identifier.emailZhou, S: shenghua@connect.hku.hk-
dc.identifier.emailXu, FJ: frankxu@hkucc.hku.hk-
dc.identifier.authorityNg, ST=rp00158-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.scs.2019.101485-
dc.identifier.scopuseid_2-s2.0-85062148943-
dc.identifier.hkuros303360-
dc.identifier.volume47-
dc.identifier.spagearticle no. 101485-
dc.identifier.epagearticle no. 101485-
dc.identifier.isiWOS:000471280400038-
dc.publisher.placeNetherlands-

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