Development of approaches to emergency management in conditions of limited energy supply of the zone of their localization

2021 ◽  
pp. 3-9
Author(s):  
Natalia Deyneko
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Emergency Response ◽  
Energy Supply ◽  
Emergency Situation ◽  
Control Measures ◽  
Special Equipment ◽  
Logical Model ◽  
Limited Energy ◽  
Response Measures

The solution of the problem of developing approaches to the management of the emergency prevention process in the conditions of limited energy supply of emergency response measures is considered. Within the framework of solving the problem, the process of emergency management in the conditions of limited energy supply is analyzed and the scheme of managerial influence on the process of spreading the emergency situation in the conditions of limited energy supply is developed. A structural and logical model of emergency management in conditions of limited energy supply has been developed. Developed a structural and logical model of emergency management in conditions of limited energy supply, which consists of twelve units. These are monitoring of the situation, identification of risks, notification and evacuation of people, search and identification of the danger of emergence and spread of emergency in conditions of limited energy supply, decision-making on the use of special equipment for electricity generation, preparatory measures, information control measures. measures in case of spread of danger, localization of sources of spread of danger, decision-making on recovery without quarantine regime in the region of hostilities, impact on the situation, analysis of the effectiveness of preventive measures and emergency prevention measures. The location of the units on six hierarchical levels, connected by logical connections, provides information on the state of the region in conditions of limited energy supply through the elements of the monitoring system and impact on the region through the system of performers, providing a continuous management process to minimize the consequences of emergency. The obtained results allow, using innovative information and technical methods of emergency prevention of such nature, to further form a modern method of emergency response in conditions of limited energy supply of emergency response measures, supplementing the above methods with an effective crisis management system. Key words: emergency situation, structural-logical model, conditions of limited energy supply.

A Grid-Aware Emergency Response Model (G-AERM) for Disaster Management

2012 ◽  
pp. 252-267
Author(s):  
Eleana Asimakopoulou ◽  
Chimay J Anumba ◽  
Dino Bouchlaghem
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Natural Disasters ◽  
Disaster Management ◽  
Emergency Response ◽  
Response Model ◽  
Timely Manner ◽  
Current Information ◽  
Information And Communication ◽  
Emergency Response Model

The emergency management community is working toward developments associated with the reduction of losses in lives, property and the environment caused by natural disasters. However, several limitations with the particular collaborative nature of current Information and Communication Technology (ICT) in use have been reported. In particular, how emergency management stakeholders within an ICT environment can bring together all their resources in a collaborative and timely manner so as to improve the effectiveness and efficiency of emergency response tasks. With this in mind, the authors describe the Grid-Aware Emergency Response Model (G-AERM) to make the best of functionality offered by emerging ICT to support intelligence in decision making toward a more effective and efficient emergency response management.

A Grid-Aware Emergency Response Model (G-AERM) for Disaster Management

2010 ◽  
Vol 1 (3) ◽  
pp. 40-55
Author(s):  
Eleana Asimakopoulou ◽  
Chimay J Anumba ◽  
Dino Bouchlaghem
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Information And Communication Technology ◽  
Emergency Response ◽  
Communication Technology ◽  
Response Model ◽  
Timely Manner ◽  
Information And Communication ◽  
Effectiveness And Efficiency ◽  
Emergency Response Model

The emergency management community is working toward developments associated with the reduction of losses in lives, property and the environment caused by natural disasters. However, several limitations with the particular collaborative nature of current Information and Communication Technology (ICT) in use have been reported. In particular, how emergency management stakeholders within an ICT environment can bring together all their resources in a collaborative and timely manner so as to improve the effectiveness and efficiency of emergency response tasks. With this in mind, the authors describe the Grid-Aware Emergency Response Model (G-AERM) to make the best of functionality offered by emerging ICT to support intelligence in decision making toward a more effective and efficient emergency response management.

Uncovering the Real Recovery Challenge: What Emergency Management Must Do

2019 ◽  
Vol 16 (3) ◽  
Author(s):  
Robert McCreight ◽  
Wayne Harrop
Keyword(s):  
Emergency Management ◽  
Emergency Response ◽  
Policy Governance ◽  
Community Recovery ◽  
Crisis Events ◽  
Debris Removal ◽  
The Usa ◽  
Response Measures ◽  
The Uk ◽  
Post Disaster

Abstract Despite decades of genuine experience derived from major disasters, emergency exercises and expert reviews of crisis events in reports and after action summaries it seems we know far less about post disaster restoration and recovery than we should. This shortfall presents several challenges to public policy, governance and the practice of emergency management as the specific steps, requirements, connections, issues and interdependencies in resurrecting a severely damaged city goes far beyond cleanup and routine debris removal tasks. Approaches towards restoration and recovery differ between the USA and the UK but there is equal regard for deriving as much insight as possible from post disaster imperatives by deliberately exercising what is seldom examined – the raw details and demands of city and community recovery. One suggested avenue is to expand future emergency exercises by focusing on how better to understand and execute the variety of restoration and recovery activies needed and devote less energy to traditional emergency response measures. This would invite testing emergency management leaders and experts with demanding 'maximum of maximum' scenarios to analyze the depth, challenges and complexity involved.

scholarly journals Understanding the Collaborative Process and Its Effects on Perceived Outcomes during Emergency Response in China: From Perspectives of Local Government Sectors

2021 ◽  
Vol 13 (14) ◽  
pp. 7605
Author(s):  
Pan Tang ◽  
Shiqi Shao ◽  
Dapeng Zhou ◽  
Huihua Hu
Keyword(s):  
Decision Making ◽  
Local Government ◽  
Emergency Management ◽  
Emergency Response ◽  
Resource Sharing ◽  
Joint Implementation ◽  
Trust Building ◽  
Collaborative Process ◽  
Joint Decision ◽  
Perceived Outcomes

In contemporary China, the rapidly urbanized cities are exposed to a broad range of natural and human-made emergencies, such as COVID-19. Responding to emergencies successfully requires widespread participation of local government sectors that engages in diversified collaboration behaviors across organizational boundaries for achieving sustainability. However, the multi-organizational collaborative process is highly dynamic and complex, as well as its outcomes are uncertain underlying the emergency response network. Examining characteristics of the collaborative process and exploring how collaborative behaviors local governmental sectors engaging in the impact their perceived outcomes is essential to understand how disastrous situations are addressed by collaborative efforts in emergency management. This research investigates diversified collaborative behaviors in emergency response and then examines this using a multi-dimensional model consisting of joint decision making, joint implementation, compromised autonomy, resource sharing, and trust building. We surveyed 148 local governments and their affiliated sectors in China in-depth understanding how collaborative processes contribute to perceived outcomes from perspectives of participating sectors in the context of a centralized political-administrative system. A structural equation model (SEM) is employed to encode multiple dimensions of the collaborative process, perceived outcomes, as well as their relationships. The empirical finding indicates that joint decision making and implementation positively affect the perceived outcomes significantly. The empirical results indicate that joint decision making and joint implementation affect perceived outcomes significantly. Instead, resource sharing and trust building do not affect the outcomes positively as expected. Additionally, compromised autonomy negatively affects the collaborative outcomes. We also discuss the institutional advantages for achieving successful outcomes in emergency management in China by reducing the degree of compromised autonomy. Our findings provide insight that can improve efforts to build and maintain a collaborative process to respond to emergencies.

scholarly journals Collaborative Planning and Shared Decision Making in Biosecurity Emergency Management

Proceedings ◽  
2020 ◽  
Vol 36 (1) ◽  
pp. 60
Author(s):  
Perry ◽  
Laws
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Shared Decision Making ◽  
Emergency Response ◽  
Collaborative Planning ◽  
Shared Decision ◽  
Robust Planning ◽  
Decision Making Processes

Robust planning and decision making processes are essential to manage biosecurity risks,particularly in emergency response situations that are highly complex, often contentious and canchange rapidly [...]

scholarly journals Mental models in nuclear emergency management

2020 ◽  
Vol 55 ◽  
pp. S157-S162 ◽  
Author(s):  
N. Zeleznik ◽  
L. Benighaus ◽  
D. Mitrakos ◽  
V. Tafili ◽  
T. Duranova ◽  
...  
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Mental Models ◽  
Emergency Preparedness ◽  
Slovak Republic ◽  
Emergency Situation ◽  
Lay People ◽  
Emergency Preparedness And Response ◽  
Nuclear Emergency

This paper reports on the research of mental models of uncertainties management in an emergency situation which was carried out in the framework of the European CONFIDENCE (COping with uNcertainties For Improved modelling and DEcision making in Nuclear emergenCiEs) Project. The methodology included the mapping of mental models among several emergency preparedness and response experts and then performing interviews based on structured protocol with lay people in five countries: Germany, Greece, Slovak Republic, Slovenia and Spain. The aim of these investigations was to trace the concepts and understandings of emergency preparedness and response and to identify possible gaps between experts and lay people. The article presents the main results of this research and suggestions for the improvement of EP & R planning.

Emergency management decision-making during severe weather

2006 ◽  
Author(s):  
Leigh A. Baumgart ◽  
Ellen J. Bass ◽  
Brenda Philips ◽  
Kevin Kloesel
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
Severe Weather ◽  
Management Decision ◽  
Management Decision Making

IMPLEMENTATIONS EMERGENCY RESPONSE SYSTEM IN CASE OF ACCIDENTS AND EMERGENCY SITUATIONS (ERA-GLONASS) FOR CARS AND TRUCKS IN UZBEKISTAN

2020 ◽  
Author(s):  
Akmal Rustamov
Keyword(s):  
Emergency Response ◽  
Call Center ◽  
Emergency Services ◽  
Main Idea ◽  
Emergency Situation ◽  
High Mountain ◽  
Additional Information ◽  
Emergency Situations ◽  
Emergency Response System ◽  
Response System

The paper addresses the problem of increasing transportation safety due to usage of new possibilities provided by modern technologies. The proposed approach extends such systems as ERA-GLONASS and eCall via service network composition enabling not only transmitting additional information but also information fusion for defining required emergency means as well as planning for a whole emergency response operation. The main idea of the approach is to model the cyber physical human system components by sets of services representing them. The services are provided with the capability of self- contextualization to autonomously adapt their behaviors to the context of the car-driver system. The approach is illustrated via an accident emergency situation response scenario. “ERA-GLONASS” is the Russian state emergency response system for accidents, aimed at improving road safety and reducing the death rate from accidents by reducing the time for warning emergency services. In fact, this is a partially copied European e Call system with some differences in the data being transmitted and partly backward compatible with the European parent. The principle of the system is quite simple and logical: in the event of an accident, the module built into the car in fully automatic mode and without human intervention determines the severity of the accident, determines the vehicle’s location via GLONASS or GPS, establishes connection with the system infrastructure and in accordance with the protocol, transfers the necessary data on the accident (a certain distress signal). Having received the distress signal, the employee of the call center of the system operator should call the on-board device and find out what happened. If no one answers, send the received data to Sistema-112 and send it to the exact coordinates of the team of rescuers and doctors, and the last one to arrive at the place is given 20 minutes. And all this, I repeat, without the participation of a person: even if people caught in an accident will not be able to independently call emergency services, the data on the accident will still be transferred. In this work intended to add some information about applying system project in Uzbek Roads especially mountain regions like “Kamchik” pass. The Kamchik Pass is a high mountain pass at an elevation of 2.306 m above the sea level, located in the Qurama Mountains in eastern Uzbekistan and its length is about 88km.The road to reach the pass is asphalted, but there are rough sections where the asphalt has disappeared. It’s called A373. The old road over the pass was by passed by a tunnel built in 1999. On the horizon, the snow-capped peaks of the Fan Mountains come into view. The pass is located in the Fergana Valley between the Tashkent and Namangan Regions.

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