scholarly journals TORCIA - A Decision-support Collaborative Platform for Emergency Management

2015 ◽  
Author(s):  
Chiara Francalanci ◽  
Paolo Giacomazzi
Keyword(s):  
Decision Support ◽  
Emergency Management ◽  
Collaborative Platform

A Distributed Scenario-Based Decision Support System for Robust Decision-Making in Complex Situations

2013 ◽  
pp. 213-231
Author(s):  
Tina Comes ◽  
Niek Wijngaards ◽  
Michael Hiete ◽  
Claudine Conrado ◽  
Frank Schultmann
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Emergency Management ◽  
Distributed System ◽  
Support System ◽  
Irrelevant Information ◽  
Informed Decision Making ◽  
Processing Information ◽  
Flexible Adaptation

Decision-making in emergency management is a challenging task as the consequences of decisions are considerable, the threatened systems are complex and information is often uncertain. This paper presents a distributed system facilitating better-informed decision-making in strategic emergency management. The construction of scenarios provides a rationale for collecting, organising, and processing information. The set of scenarios captures the uncertainty of the situation and its developments. The relevance of scenarios is ensured by gearing the scenario construction to assessing alternatives, thus avoiding time-consuming processing of irrelevant information. The scenarios are constructed in a distributed setting allowing for a flexible adaptation of reasoning (principles and processes) to both the problem at hand and the information available. This approach ensures that each decision can be founded on a coherent set of scenarios. The theoretical framework is demonstrated in a distributed decision support system by orchestrating experts into workflows tailored to each specific decision.

Sustainable Infrastructure Project Planning

2011 ◽  
pp. 95-110
Author(s):  
Omar Mohd Faizal ◽  
Bambang Trigunarsyah ◽  
Johnny Wong
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Data Communication ◽  
Team Members ◽  
Infrastructure Project ◽  
Collaborative Platform

Most infrastructure project developments are complex in nature, particularly in the planning phase. During this stage, many vague alternatives are tabled - from the strategic to operational level. Human judgement and decision making are characterised by biases, errors and the use of heuristics. These factors are intangible and hard to measure because they are subjective and qualitative in nature. The problem with human judgement becomes more complex when a group of people are involved. The variety of different stakeholders may cause conflict due to differences in personal judgements. Hence, the available alternatives increase the complexities of the decision making process. Therefore, it is desirable to find ways of enhancing the efficiency of decision making to avoid misunderstandings and conflict within organisations. As a result, numerous attempts have been made to solve problems in this area by leveraging technologies such as decision support systems. However, most construction project management decision support systems only concentrate on model development and neglect fundamentals of computing such as requirement engineering, data communication, data management and human centred computing. Thus, decision support systems are complicated and are less efficient in supporting the decision making of project team members. It is desirable for decision support systems to be simpler, to provide a better collaborative platform, to allow for efficient data manipulation, and to adequately reflect user needs. In this chapter, a framework for a more desirable decision support system environment is presented. Some key issues related to decision support system implementation are also described.

Decision Models and Group Decision Support Systems for Emergency Management and City Resilience

2021 ◽  
pp. 723-740
Author(s):  
Yumei Chen ◽  
Xiaoyi Zhao ◽  
Eliot Rich ◽  
Luis Felipe Luna-Reyes
Keyword(s):  
Decision Support ◽  
Emergency Management ◽  
Decision Support Systems ◽  
Group Decision ◽  
Support Systems ◽  
Group Decision Support ◽  
Group Decision Support Systems ◽  
Decision Models ◽  
Graduate Course ◽  
Coastal Cities

This paper introduces the concept of Group Decision Support Systems (GDSS) as a tool to support emergency management and resilience in coastal cities. As an illustration of the potential value of GDSS, we discuss the use of the Pointe Claire teaching case. Participants in the exercise work in groups to approach the case using four different computer-supported decision models to explore and recommend policies for emergency mitigation and city resilience. The case, as well as the decision models, can be a valuable GDSS tool, particularly in the mitigation stages of the emergency management cycle. We present preliminary results from the use of the case, models and a simulation environment in a graduate course. We finish the paper by presenting our experience as a framework for building more efficient and secure emergency management systems through the use of GDSS.

A Participatory Approach to Designing Decision Support Systems in Emergency Management

2014 ◽  
Vol 6 (1) ◽  
pp. 60-80 ◽  
Author(s):  
Pietro Baroni ◽  
Daniela Fogli ◽  
Massimiliano Giacomin ◽  
Giovanni Guida ◽  
Loredana Parasiliti Provenza ◽  
...  
Keyword(s):  
Decision Support ◽  
Emergency Management ◽  
Decision Support Systems ◽  
Participatory Design ◽  
Support Systems ◽  
Participatory Approach ◽  
Work Environments ◽  
System Evaluation ◽  
Health Related ◽  
Pandemic Flu

This article presents a participatory design approach to Decision Support Systems, which is specifically built to face the socio-technical gap that often impedes DSS acceptability by end-users in real work environments. The approach has been experimented in two case studies in the field of health-related emergencies, namely earthquake and pandemic flu. The application of the approach and the results obtained are described with specific focus on the phases of requirement analysis and system evaluation.

A Distributed Scenario-Based Decision Support System for Robust Decision-Making in Complex Situations

2011 ◽  
Vol 3 (4) ◽  
pp. 17-35 ◽  
Author(s):  
Tina Comes ◽  
Niek Wijngaards ◽  
Michael Hiete ◽  
Claudine Conrado ◽  
Frank Schultmann
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Emergency Management ◽  
Support System ◽  
Irrelevant Information ◽  
Informed Decision Making ◽  
Processing Information ◽  
Flexible Adaptation ◽  
Distributed Decision

Decision-making in emergency management is a challenging task as the consequences of decisions are considerable, the threatened systems are complex and information is often uncertain. This paper presents a distributed system facilitating better-informed decision-making in strategic emergency management. The construction of scenarios provides a rationale for collecting, organising, and processing information. The set of scenarios captures the uncertainty of the situation and its developments. The relevance of scenarios is ensured by gearing the scenario construction to assessing alternatives, thus avoiding time-consuming processing of irrelevant information. The scenarios are constructed in a distributed setting allowing for a flexible adaptation of reasoning (principles and processes) to both the problem at hand and the information available. This approach ensures that each decision can be founded on a coherent set of scenarios. The theoretical framework is demonstrated in a distributed decision support system by orchestrating experts into workflows tailored to each specific decision.

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