File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Physics-based resilience assessment of interdependent civil infrastructure systems with condition-varying components: a case with stormwater drainage system and road transport system

TitlePhysics-based resilience assessment of interdependent civil infrastructure systems with condition-varying components: a case with stormwater drainage system and road transport system
Authors
KeywordsResilience
Physics-based
Component condition modeling
Interdependency
Infrastructure systems
Issue Date2020
PublisherElsevier BV. The Journal's web site is located at http://www.journals.elsevier.com/sustainable-cities-and-society/
Citation
Sustainable Cities and Society, 2020, v. 54, p. article no. 101886 How to Cite?
AbstractDespite an abundance of frameworks and toolkits for assessing resilience performance of interdependent infrastructure systems in recent years, they are generally underpinned by the topological-based approaches with limited consideration on commodities being flowed and supplied to consumers through the entire system. Besides, previous studies on resilience assessment have failed to consider the pre-event component condition of infrastructure systems by implicitly regarding the condition of components as pristine without any deterioration. These could lead to undermine the accuracy of resilience assessment results. To fill these research gaps, the paper synthetically assesses the resilience performance of interdependent infrastructure systems with the condition-varying components leveraging the physics-based approaches to delineate the intricate operating scheme of each infrastructure system. A case study strives to investigate the pre-event resilience performance of interdependent stormwater drainage system and road transport system in Hong Kong against heavy rainfall. The results show that the component deterioration in the stormwater drainage system could cause incremental amount of inundated rainwater in certain manholes and thus lead to substantial degradation in traffic performance in the vicinity when compared to the scenario without considering the pre-event component condition. Simultaneously, certain intersections of the network as well as the spatially subordinated small-scaled network do not seem to be affected while the traffic performance could even be advanced at those intersections. This phenomenon explains the heterogeneity of spatial and temporal traffic patterns within the same network. The results should help guide decision-makers identifying the vulnerabilities, planning pre-event mitigation strategies, and prioritizing recovery resources actions in case hazards occur.
Persistent Identifierhttp://hdl.handle.net/10722/286192
ISSN
2023 Impact Factor: 10.5
2023 SCImago Journal Rankings: 2.545
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.accessioned2020-08-31T07:00:27Z-
dc.date.available2020-08-31T07:00:27Z-
dc.date.issued2020-
dc.identifier.citationSustainable Cities and Society, 2020, v. 54, p. article no. 101886-
dc.identifier.issn2210-6707-
dc.identifier.urihttp://hdl.handle.net/10722/286192-
dc.description.abstractDespite an abundance of frameworks and toolkits for assessing resilience performance of interdependent infrastructure systems in recent years, they are generally underpinned by the topological-based approaches with limited consideration on commodities being flowed and supplied to consumers through the entire system. Besides, previous studies on resilience assessment have failed to consider the pre-event component condition of infrastructure systems by implicitly regarding the condition of components as pristine without any deterioration. These could lead to undermine the accuracy of resilience assessment results. To fill these research gaps, the paper synthetically assesses the resilience performance of interdependent infrastructure systems with the condition-varying components leveraging the physics-based approaches to delineate the intricate operating scheme of each infrastructure system. A case study strives to investigate the pre-event resilience performance of interdependent stormwater drainage system and road transport system in Hong Kong against heavy rainfall. The results show that the component deterioration in the stormwater drainage system could cause incremental amount of inundated rainwater in certain manholes and thus lead to substantial degradation in traffic performance in the vicinity when compared to the scenario without considering the pre-event component condition. Simultaneously, certain intersections of the network as well as the spatially subordinated small-scaled network do not seem to be affected while the traffic performance could even be advanced at those intersections. This phenomenon explains the heterogeneity of spatial and temporal traffic patterns within the same network. The results should help guide decision-makers identifying the vulnerabilities, planning pre-event mitigation strategies, and prioritizing recovery resources actions in case hazards occur.-
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.subjectPhysics-based-
dc.subjectComponent condition modeling-
dc.subjectInterdependency-
dc.subjectInfrastructure systems-
dc.titlePhysics-based resilience assessment of interdependent civil infrastructure systems with condition-varying components: a case with stormwater drainage system and road transport system-
dc.typeArticle-
dc.identifier.emailNg, ST: tstng@hku.hk-
dc.identifier.emailXu, FJ: frankxu@hku.hk-
dc.identifier.authorityNg, ST=rp00158-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.scs.2019.101886-
dc.identifier.scopuseid_2-s2.0-85074432882-
dc.identifier.hkuros313458-
dc.identifier.volume54-
dc.identifier.spagearticle no. 101886-
dc.identifier.epagearticle no. 101886-
dc.identifier.isiWOS:000545577700020-
dc.publisher.placeNetherlands-
dc.identifier.issnl2210-6707-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats