scholarly journals Supporting Collaborative Preparation of Emergency Plans

Proceedings ◽  
2018 ◽  
Vol 2 (19) ◽  
pp. 1254 ◽  
Author(s):  
Nelson Baloian ◽  
Jonathan Frez ◽  
José A. Pino ◽  
Gustavo Zurita
Keyword(s):  
Decision Making ◽  
Geographical Information ◽  
Northern Chile ◽  
Partial Knowledge ◽  
Emergency Plans ◽  
Case Simulation ◽  
Emergency Scenarios ◽  
A Site ◽  
Collaborative Decision ◽  
Gathering Data

Effective preparedness for reacting in case of a severe emergency requires that many experts with various backgrounds evaluate the possible scenarios and come up with a single, unified plan which considers all opinions. This is a typical collaborative decision-making scenario, characterized by a process cycle involving modelling the process, defining the objectives of the decision outcome, gathering data, generating options and evaluating them according to the defined objectives. This is a decision-making scenario which requires the participation of various experts, who must evaluate and compare many scenarios. Each expert will have a partial knowledge about where people may be at the time of the emergency and how they will react. In emergency scenarios the geographical information often plays a significant importance, since plans need to consider the geography of the terrain from which the population should be evacuated, the safe areas where the population should be taken to, the ways connecting evacuations, and how the rescue teams can reach the places where the emergency occurred. This work presents a tool that can help a group of experts with various types of expertise, generate, visualize and compare the outcomes of various hypotheses. The paper also presents a real case simulation in the event of a tsunami following an earthquake at a site in northern Chile and the possibilities of evacuating people to safer zones.

scholarly journals Technology Support for Collaborative Preparation of Emergency Plans

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 5040
Author(s):  
Nelson Baloian ◽  
Jonathan Frez ◽  
Jose A. Pino ◽  
Sergio Peñafiel ◽  
Gustavo Zurita ◽  
...  
Keyword(s):  
Geographical Information ◽  
Technology Support ◽  
Computer Tool ◽  
Emergency Plans ◽  
Grave Emergency ◽  
Diverse Backgrounds ◽  
Group Members ◽  
Case Simulation ◽  
Collaborative Decision ◽  
Gathering Data

Preparing a plan for reaction to a grave emergency is a significant first stage in disaster management. A group of experts can do such preparation. Best results are obtained with group members having diverse backgrounds and access to different relevant data. The output of this stage should be a plan as comprehensive as possible, taking into account various perspectives. The group can organize itself as a collaborative decision-making team with a process cycle involving modeling the process, defining the objectives of the decision outcome, gathering data, generating options and evaluating them according to the defined objectives. The meeting participants may have their own evidences concerning people’s location at the beginning of the emergency and assumptions about people’s reactions once it occurs. Geographical information is typically crucial for the plan, because the plan must be based on the location of the safe areas, the distances to move people, the connecting roads or other evacuation links, the ease of movement of the rescue personnel, and other geography-based considerations. The paper deals with this scenario and it introduces a computer tool intended to support the experts to prepare the plan by incorporating the various viewpoints and data. The group participants should be able to generate, visualize and compare the outcomes of their contributions. The proposal is complemented with an example of use: it is a real case simulation in the event of a tsunami following an earthquake at a certain urban location.

DATABASE DESIGN FOR E-GOVERNANCE APPLICATION: A FRAMEWORK FOR THE MANAGEMENT INFORMATION SYSTEMS OF THE VIETNAM COMMITTEE FOR ETHNIC MINORITY AFFAIRS

2017 ◽  
Author(s):  
Nguyen Viet Hung ◽  
Phan Van Hung ◽  
Be Trung Anh
Keyword(s):  
Decision Making ◽  
Information System ◽  
Ethnic Minority ◽  
Ethnic Minorities ◽  
Good Governance ◽  
Local Governance ◽  
Geographical Information ◽  
Base System ◽  
Challenges And Opportunities ◽  
Competency Based

Data mode “good governance” developed in the last century for process of sustainable base system, providing basic information and on-line services, supports the development, challenges and opportunities in the context of globalization and integration. In this paper I discuss a framework for the design of e-Local Governance (eLG) that integrates Information System (IS), Geographical Information System (GIS) and Atlas with focus on ethnic minorities in Vietnam. The design framework is based on various classifications such categories as sex, age, ethnic group, education background and income. The database system is built to enhance the Committee for Ethnic Minority Affairs (CEMA) capabilities in the planning and decision making process by providing the authorities with data, internet GIS, internet communication and some ecological economic models to disseminate results to the ethnic minorities. The unique feature of the CEMADATA using GIS is that it helps users not only to improve the public services and to provide information and encourage ethnic minorities to participate in decision making processes, but also to support the competency-based training for IT staff

Multi-Criteria Decision Making for Vulnerability Mapping of Flood Hazard: A Case Study of Pune City

2019 ◽  
Vol 2 (1) ◽  
pp. 41-52
Author(s):  
Nitin Mundhe
Keyword(s):  
Decision Making ◽  
Flood Hazard ◽  
Geographical Information ◽  
Multi Criteria Decision Making ◽  
Flood Hazards ◽  
Very High Frequency ◽  
Flood Vulnerability ◽  
Natural Risk ◽  
The Town

Floods are natural risk with a very high frequency, which causes to environmental, social, economic and human losses. The floods in the town happen mainly due to human made activities about the blockage of natural drainage, haphazard construction of roads, building, and high rainfall intensity. Detailed maps showing flood vulnerability areas are helpful in management of flood hazards. Therefore, present research focused on identifying flood vulnerability zones in the Pune City using multi-criteria decision-making approach in Geographical Information System (GIS) and inputs from remotely sensed imageries. Other input data considered for preparing base maps are census details, City maps, and fieldworks. The Pune City classified in to four flood vulnerability classes essential for flood risk management. About 5 per cent area shows high vulnerability for floods in localities namely Wakdewadi, some part of the Shivajinagar, Sangamwadi, Aundh, and Baner with high risk.

scholarly journals Multiobjective Optimization Model for Collaborative En-Route and Slot Allocation

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Shangwen Yang ◽  
Jingting Zhang ◽  
Ping Chen ◽  
Yongjie Yan
Keyword(s):  
Decision Making ◽  
Traffic Control ◽  
Programming Model ◽  
Numerical Test ◽  
Simulated Data ◽  
Slot Allocation ◽  
Collaborative Decision Making ◽  
Average Delay ◽  
Flight Delay ◽  
Collaborative Decision

To allocate the en-routes and slots resource to the flights with collaborative decision-making, a multiobjective 0-1 integer programming model was proposed. According to different demands from air traffic control departments, airlines, and passengers, efficiency, equity, and effectiveness principles of collaborative decision-making were considered. With the aim to minimize the total flight delay costs, the total number of turning points, and average delay time of passengers, the effectiveness constraints were achieved. The algorithm was designed to solve the model on the basis of the objective method, and Lingo11 and MatlabR2007b were applied in numerical tests. To test how well the model works in real world, a numerical test was performed based on the simulated data of a civil en-route. Test results show that, compared with the traditional strategy of first come first served, the model gains better effect. The superiority of the model was verified.

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