TY - GEN
T1 - Spatio-temporal socio-technical risk analysis methodology
T2 - 2017 International Topical Meeting on Probabilistic Safety Assessment and Analysis, PSA 2017
AU - Bui, Ha
AU - Pence, Justin
AU - Mohaghegh, Zahra
AU - Reihani, Seyed
AU - Kee, Ernie
N1 - Funding Information:
This material is based upon work supported by the National Science Foundation under Grant No. 1535167. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. We would also like to show our gratitude to the South Texas Project Nuclear Operating Company (STPNOC) for sharing plant data and information. The authors appreciate the industry expertise in fire protection that Fatma Yilmaz and Dave Wiegand at STPNOC offered. The authors also thank all members of the Socio-Technical Risk Analysis (SoTeRiA) Laboratory (http://soteria.npre.illinois.edu/) for their feedback, and especially support that PhD Candidate, Tatsuya Sakurahara provided.
Funding Information:
This material is based upon work supported by the National Science Foundation under Grant No. 1535167. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. We would also like to show our gratitude to the South Texas Project Nuclear Operating Company (STPNOC) for sharing plant data and information. The authors appreciate the industry expertise in fire protection that Fatma Yilmaz and Dave Wiegand at STPNOC offered. The authors also thank all members of the Socio-Technical Risk Analysis (SoTeRiA) Laboratory (http://soteria.npre.Illinois.edu/) for their feedback, and especially support that PhD Candidate, Tatsuya Sakurahara provided.
Publisher Copyright:
© 2017 by American Nuclear Society. All rights reserved.
PY - 2017
Y1 - 2017
N2 - This paper reports on the status of on-going research regarding the development of a Spatio-Temporal Socio-Technical Risk Analysis (ST-SoTeRiA) methodology for Emergency Response (ER) modeling. ST-SoTeRiA is an approach to explicitly incorporate spatial and temporal dimensions, while connected with Probabilistic Risk Assessment (PRA) logic, into the simulation of socio-technical failure mechanisms. The probabilities required for executing PRA are estimated by running a spatiotemporal platform that integrates deterministic simulation methods with probabilistic techniques. In this paper, a case study for fire ER demonstrates one of the building blocks of the ST-SoTeRiA methodology in which Agent-Based Modeling (ABM) technique is combined with physical hazard progression simulation in a shared Geographic Information System (GIS)-based spatial platform, as an input to PRA scenarios. A multi-method coupling between physical progression models and human response models in a spatio-temporal platform is essential to: (i) better characterize dynamic behaviors in ER, given location-specific hazards, (ii) better account for uncertainty, and (iii) better inform decision making in ER contexts.
AB - This paper reports on the status of on-going research regarding the development of a Spatio-Temporal Socio-Technical Risk Analysis (ST-SoTeRiA) methodology for Emergency Response (ER) modeling. ST-SoTeRiA is an approach to explicitly incorporate spatial and temporal dimensions, while connected with Probabilistic Risk Assessment (PRA) logic, into the simulation of socio-technical failure mechanisms. The probabilities required for executing PRA are estimated by running a spatiotemporal platform that integrates deterministic simulation methods with probabilistic techniques. In this paper, a case study for fire ER demonstrates one of the building blocks of the ST-SoTeRiA methodology in which Agent-Based Modeling (ABM) technique is combined with physical hazard progression simulation in a shared Geographic Information System (GIS)-based spatial platform, as an input to PRA scenarios. A multi-method coupling between physical progression models and human response models in a spatio-temporal platform is essential to: (i) better characterize dynamic behaviors in ER, given location-specific hazards, (ii) better account for uncertainty, and (iii) better inform decision making in ER contexts.
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M3 - Conference contribution
AN - SCOPUS:85047800165
T3 - International Topical Meeting on Probabilistic Safety Assessment and Analysis, PSA 2017
SP - 949
EP - 958
BT - International Topical Meeting on Probabilistic Safety Assessment and Analysis, PSA 2017
PB - American Nuclear Society
Y2 - 24 September 2017 through 28 September 2017
ER -