000018591 001__ 18591
000018591 005__ 20170118182229.0
000018591 04107 $$aeng
000018591 046__ $$k2017-01-09
000018591 100__ $$aGhosh, Siddhartha
000018591 24500 $$aAssessment of Post-Disaster Community Infrastructure Services Demand Using Bayesian Networks

000018591 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000018591 260__ $$b
000018591 506__ $$arestricted
000018591 520__ $$2eng$$aIn this study a Bayesian Probabilistic Network (BPN) is presented to assess the community demand for the services provided by civil infrastructure systems during the absorption phase after a major earthquake. The post-disaster evaluation of the demand is a key component for assessing resilience in the compositional demand/supply resilience framework. The performance of the building stock is used as proxy for community infrastructure services demand. The damage states of the different building types, obtained through the hazard and fragility modules of the BPN, are associated with a change in service demand. The BPN is used to model the case of the electric power demand in Nepal after the 2015 Gorkha earthquake. Preliminary results are shown. BPNs have various advantages, including updatability with evidence. The probabilities can be traced through the different nodes. They are however computationally expensive and the required computational effort grows quickly with the number of nodes. The presented BPN can be adapted and used for other cities, infrastructure systems and seismic hazard conditions, and refined by implementing additional random variables that further characterize the fragility of the building stock.

000018591 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000018591 653__ $$aresilience; Nepal; BPN; vulnerability, civil infrastructure system

000018591 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000018591 720__ $$aGhosh, Siddhartha$$iSteentoft, Aike$$iGrauvogl, Benedikt$$iDidier, Max$$iStojadinovic, Bozidar
000018591 8560_ $$ffischerc@itam.cas.cz
000018591 8564_ $$s1204871$$uhttps://invenio.itam.cas.cz/record/18591/files/1772.pdf$$yOriginal version of the author's contribution as presented on USB, paper 1772.
000018591 962__ $$r16048
000018591 980__ $$aPAPER