@inproceedings{e6fa5ec78ab14192881e3a3fd387ca31,
title = "Risk-informed emergency response via spatio-temporal socio-technical risk analysis",
abstract = "Catastrophic events have made it clear that integrating physical and social causes of failure into a cohesive modeling framework is critical in order to prevent the undesirable consequences of large-scale complex technological accidents. This paper reports on the status of on-going research to develop (1) a theoretical socio-technical causal framework to explicitly incorporate underlying failure mechanisms into Emergency Response (ER) modeling, (2) a methodological technique to create a Spatio-Temporal Socio-Technical Risk Analysis (ST-SoTeRiA) in order to operationalize and quantify the theoretical framework, and (3) a multi-faceted decision making methodology to utilize ST-SoTeRiA for risk-informed ER applications. This research is the first to explicitly incorporate spatial dimensions into socio-technical risk analysis, while being connected with Probabilistic Risk Assessment (PRA) logic.",
author = "J. Pence and Z. Mohaghegh and E. Kee",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor & Francis Group, London.; 25th European Safety and Reliability Conference, ESREL 2015 ; Conference date: 07-09-2015 Through 10-09-2015",
year = "2015",
doi = "10.1201/b19094-574",
language = "English (US)",
isbn = "9781138028791",
series = "Safety and Reliability of Complex Engineered Systems - Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015",
publisher = "CRC Press/Balkema",
pages = "4375--4383",
editor = "Luca Podofillini and Bruno Sudret and Bo{\v z}idar Stojadinovi{\'c} and Enrico Zio and Wolfgang Kr{\"o}ger",
booktitle = "Safety and Reliability of Complex Engineered Systems - Proceedings of the 25th European Safety and Reliability Conference, ESREL 2015",
}