Petri-net based evaluation of emergency response actions for preventing domino effects triggered by fire

Zhou, Jianfeng; Reniers, Genserik

doi:10.1016/j.jlp.2017.12.001

Cited by 37 publications

(22 citation statements)

References 29 publications

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“…As one would expect, the described perspective evaluates a primary understanding of SIRE. The perspective forces us to take into consideration three issues [8,79]:…”

Section: Sire In Emergency Service Perspectivementioning

confidence: 99%

Risk-Based Approach for Informing Sustainable Infrastructure Resilience Enhancement and Potential Resilience Implication in Terms of Emergency Service Perspective

Gromek¹,

Sobolewski²

2020

Sustainability

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Infrastructure resilience ascribes into the United Nations’ agenda for sustainable development. The more information supporting infrastructure resilience enhancement, the higher chance that it will be done objectively and effectively, and especially in a sustainable way. In spite of many different approaches and data sources, there is a lack of information that respects the emergency service point of view. The main research objective is to investigate factors determining sustainable infrastructure resilience enhancement that reflects direct protection of the most important values (human life and health) by connecting multiple variants of infrastructural resilience corresponding with the voice of emergency service and based on real data risk assessment. The methodology consists in formulation of a reference model for informing sustainable infrastructure resilience enhancement, risk assessment for infrastructure safety in terms of emergency service perspective and risk-based rationalization of the enhancement manners. The model stems from urban resilience and city resilience. Its components are physical resilience, structure and setting resilience, organizational resilience, economic resilience and legal resilience. These elements are related to hazards’ character, operational specification and resource requirements, operationalizing the model in terms of emergency conditions. For risk rationalization purpose, 1,255,826 events which occurred in 2015–2019 are analysed. Nearly 70% of the summary value of infrastructural risk is related to residential buildings and other categories of objects (garages, auto repair shops, monuments of material culture, objects of natural environment, hydro-technical objects, military objects, ex-territorial objects and others). Sustainable-related manners are specified notably for abovementioned buildings and objects. Deepening the analysis of cognitive limitations gives ideas for further research.

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“…As one would expect, the described perspective evaluates a primary understanding of SIRE. The perspective forces us to take into consideration three issues [8,79]:…”

Section: Sire In Emergency Service Perspectivementioning

confidence: 99%

Risk-Based Approach for Informing Sustainable Infrastructure Resilience Enhancement and Potential Resilience Implication in Terms of Emergency Service Perspective

Gromek¹,

Sobolewski²

2020

Sustainability

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“…The second limitation is that some researches ignore the processional nature of emergency management improvement, which is usually reflected in the fact that the researches are usually limited to one-time measures to improve the emergency response level. For example, Zhou et al [22] proposed a timed colored hybrid Petri net (TCHPN) method to evaluate different emergency response actions based on their efficiency in preventing or delaying the propagation of domino effects. Ke et al [23] established an evaluation model of the emergency capability of earth-rock cofferdam construction.…”

Section: Literature Reviewmentioning

confidence: 99%

The Evaluation of Building Fire Emergency Response Capability Based on the CMM

Guo

Sheng

Shang

2019

IJERPH

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The construction of smart cities is a theme of urban development, and building fires greatly threaten public safety and urban environmental governance, in which fire emergency management is one of the key factors. However, most studies on the evaluation of emergency response capacity ignore the process of improvement, as well as the intelligence and practicality of the results. The evaluation system of building fire emergency response capability maturity (FE-CMM) was innovatively proposed based on the capability maturity model (CMM), including the evaluation index, evaluation grade, evaluation method, and evaluation process. At the same time, a plug-in for evaluating fire emergency response capability was developed based on the building information modeling (BIM) platform. Finally, an empirical study was carried out in combination with the case of a district fire center. The research demonstrates that the evaluation system can effectively judge the maturity of fire emergency response capability, and the established plug-in can preliminarily realize the intelligent evaluation of building fire emergency response capability, which improves the practice and intelligence of the fire emergency response capability evaluation system when fully considering the process of improvement. It has guiding significance for ex ante control and refined management of building fires, thus providing support for urban public safety and environmental governance.

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“…To the best of our knowledge, few works have used stochastic models to characterize domino effects caused by VCEs. The authors of [40] use timed colored hybrid Petri nets (TCHPNs) to model response actions to flammable liquid tank fires. The focus is on comparing different emergency strategies to avoid the domino effects, and not on evaluating the consequences.…”

Section: Related Workmentioning

confidence: 99%

Stochastic modeling and analysis of vapor cloud explosions domino effects in chemical plants

Sierra¹,

Montecchi

Mura

2019

J Braz Comput Soc

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Because of the substances they process and the conditions of operation, chemical plants are systems prone to the occurrence of undesirable and potentially dangerous events. Major accidents may occur when a triggering event produces a cascading accident that propagates to other units, a scenario known as domino effect. Assessing the probability of experiencing a domino effect and estimating the magnitude of its consequences is a complex task, as it depends on the nature of the substances being processed, the operating conditions, the failure proneness of equipment units, the execution of preventive maintenance activities, and of course the plant layout. In this work, we propose a stochastic modeling methodology to perform a probabilistic analysis of the likelihood of domino effects caused by propagating vapor cloud explosions. Our methodology combines mathematical models of the physical characteristics of the explosion, with stochastic state-based models representing the actual propagation among equipment units and the effect of maintenance activities. Altogether, the models allow predicting the likelihood of major events occurrence and the associated costs. A case study is analyzed, where various layouts of atmospheric gasoline tanks are assessed in terms of the predicted consequences of domino effects occurrence. The results of the analyses show that our approach can provide precious insights to support decision-making for safety and cost management.

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Petri-net based evaluation of emergency response actions for preventing domino effects triggered by fire

Cited by 37 publications

References 29 publications

Risk-Based Approach for Informing Sustainable Infrastructure Resilience Enhancement and Potential Resilience Implication in Terms of Emergency Service Perspective

Risk-Based Approach for Informing Sustainable Infrastructure Resilience Enhancement and Potential Resilience Implication in Terms of Emergency Service Perspective

The Evaluation of Building Fire Emergency Response Capability Based on the CMM

Stochastic modeling and analysis of vapor cloud explosions domino effects in chemical plants

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