|A Procedural Construction Method for Interactive Map Symbols Used for Disasters and Emergency Response.||
The experiment was conducted using the Wenchuan earthquake as a case study, and the results demonstrate a powerful capacity of the produced interactive map symbols, which will contribute to the improvement of the mapping efficiency and representation capability of disasters and emergency response.
|A risk assessment tool for improving safety standards and emergency management in Italian onshore wind farms||
No clear information about the planning of the experiment.
|A service oriented architecture for decision support systems in environmental crisis management||
It is developed as an implementation specification by the Open GIS Consortium to foster data interoperability and exchange between different systems.•Early planning and scenario development•Real-time monitoring•Decision- support in the event of a real forest fire incident.•Real time data flows are defined for operational vehicles management
|A Simulation Tool for Examining the Effect of Communications on Disaster Response in the Oil and Gas Industry.||
Simulation developmentTwo main simulation entities were defined: 1) site and 2) communication link.Modelling of VHF, Microwave, VHF, and VSAT technologiesScenario Developmentemergency scenario involves a hypothetical industrial oil and gas production company with offshore and onshore facilities was designedThe scenario begins when an emergency occurs on an offshore site and requires evacuation
|A survey of the practice of nurses' skills in Wenchuan earthquake disaster sites: implications for disaster training.||
Before developing the questionnaire, two focus groups were conducted,each with eight nurses who had participated in the rescue operation following the Wenchuan earthquake disaster. With input from the focus groups, reviewed research literature and the training experience of TMMU, a list of 19 basic nursing skills which were considered to be useful at the disaster site was drawn up.
|A virtual reality based fire training simulator integrated with fire dynamics data||
Fire training system structure:Fire training and evaluation logicFire environment resourcesInterface devices between human and computerFirat training simulator
|Agent-oriented modeling and development of a system for crisis management.||
A full MAS development has been carried out as basis for the validation of the pattern.In order to validate the organization, the paper presents its modeling and development with the Ingenias methodology, conforming the corresponding MAS. This development follows a model-driven approach, which allows a smooth transition from the specification to the code, and a low-cost testing of the system with different settingsThe MAS has been tested with 600 agents representing 200 citizens, showing its performance.The first test is called General Test, and its purposes are to check (1) that the closest citizen with medical capabilities is asked to come for helping a citizen that asks for help, and (2) that the new affected location is updated in the map of the official services.The second test, called Only One Comes Test, is aimed at checking that each affected citizen is only assisted by one citizen with medical capability.The goal of the third test, called One By One Test, is to check that each citizen with medical capabilities is not simultaneously asked to attend several citizens.
|An emergency logistics response system for natural disasters.||
The simulation model was run for 300 replications (years) with a length of one year each, equivalent to 1064 hurricanes. Since thiswas a terminating simulation, nowarm-up period and steady-state analyses were required.
|An expert system for an emergency response management in Networked Safe Service Systems||
three CI systems: one chemical plant, three hospitals, and a city transportation system.
|An optimization approach for ambulance location and the districting of the response segments on highways||
For simulation on case study 1: The procedures to calculate the transient period (warm up) and the simulation run length are described in detail in Iannoni and Morabito
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