Integrating values and risk perceptions into a decision support system

2010 ◽  
Vol 19 (1) ◽  
pp. 123 ◽  
Author(s):  
Barbara J. Morehouse ◽  
Sara O'Brien ◽  
Gary Christopherson ◽  
Peter Johnson

One of the thorniest challenges to effective wildland fire management is integration of public perceptions and values into science-based adaptive management. One promising alternative is incorporation of public values into place-based decision support technologies that are accessible to lay citizens as well as to fire-management experts. A survey of individuals, including residents, fire and fuels managers, volunteer firefighters, and others living in or near four mountain areas of the US Southwest, identified a set of personal values and perceptions about wildland fire risk that could be spatially represented in a geographic information science-based decision support system designed for wildland fire strategic planning efforts. We define values, in this context, as phenomena that are not necessarily quantifiable but that strongly attract and connect individuals for whatever reasons to particular areas. Inclusion of this type of information into interactive decision tools for fire management may contribute to improved understanding and finer-scale spatial visualisation of public perceptions of fire risk. The integration of such factors in decision support tools offers opportunities for improving interactions between managers and the public involved in strategic planning processes for fire management.

2011 ◽  
Vol 2011 ◽  
pp. 1-14 ◽  
Author(s):  
Erin K. Noonan-Wright ◽  
Tonja S. Opperman ◽  
Mark A. Finney ◽  
G. Thomas Zimmerman ◽  
Robert C. Seli ◽  
...  

A new decision support tool, the Wildland Fire Decision Support System (WFDSS) has been developed to support risk-informed decision-making for individual fires in the United States. WFDSS accesses national weather data and forecasts, fire behavior prediction, economic assessment, smoke management assessment, and landscape databases to efficiently formulate and apply information to the decision making process. Risk-informed decision-making is becoming increasingly important as a means of improving fire management and offers substantial opportunities to benefit natural and community resource protection, management response effectiveness, firefighter resource use and exposure, and, possibly, suppression costs. This paper reviews the development, structure, and function of WFDSS, and how it contributes to increased flexibility and agility in decision making, leading to improved fire management program effectiveness.


2020 ◽  
Vol 118 (2) ◽  
pp. 154-171 ◽  
Author(s):  
Peter Noble ◽  
Travis B Paveglio

Abstract Abstract The increasing complexity of wildland fire management highlights the importance of sound decision making. Numerous fire management decision support systems (FMDSS) are designed to enhance science and technology delivery or assist fire managers with decision-making tasks. However, few scientific efforts have explored the adoption and use of FMDSS by fire managers. This research couples existing decision support system research and in-depth interviews with US Forest Service fire managers to explore perspectives surrounding the Wildland Fire Decision Support System (WFDSS). Results indicate that fire managers appreciate many WFDSS components but view it primarily as a means to document fire management decisions. They describe on-the-ground actions that can be disconnected with decisions developed in WFDSS, which they attribute to the timeliness of WFDSS outputs, the complexity of the WFDSS design, and how it was introduced to managers. We conclude by discussing how FMDSS development could address concerns raised by managers.


FLORESTA ◽  
2004 ◽  
Vol 34 (2) ◽  
Author(s):  
Flavio Deppe ◽  
Eduardo Vedor De Paula ◽  
Jackson Vosgerau ◽  
Alexandre Guetter

O FIRESIG representa um sistema de suporte a tomada de decisão para o combate a incêndios no Estado do Paraná. O FIRESIG atende as demandas específicas de atividades de monitoramento, prevenção e combate a incêndios. Os usuários institucionais do FIRESIG se referem ao Instituto Ambiental do Paraná (IAP) e a Coordenadoria Estadual de Defesa Civil do Paraná. O FIRESIG oferece ferramentas para: (i) entrada de dados de focos de calor, índice de vegetação e índice de risco de incêndio, (ii) espacialização, visualização e análise de focos de calor, (iii) identificação de recursos e infra-estrutura disponível para combate aos incêndios, (iv) atualização da base de dados dos recursos disponíveis para o combate aos incêndios, (v) determinação de melhores rotas de acesso aos incêndios. A utilização do FIRESIG reduz o tempo de resposta para o combate aos incêndios e auxilia a montagem de estratégias de combate. O FIRESIG é caracterizado como um sistema de suporte a tomada de decisão, robusto e de baixo custo para combate aos incêndios. Além do mais pode ser adaptado para ser utilizado em outros tipos de desastres ambientais. FIRESIG – DECISION SUPPORT SYSTEM FOR FIRE FIGHT IN PARANÁ Abstract The FIRESIG represents a decision support system for fire fight in the Paraná State. The FIRESIG meets specific demands for monitoring, prevention and fire fight. The system’s users are the Paraná Environmental Institute and the Paraná Civil Defense Coordination. The FIRESIG offers several tools for: (i) hot spots, vegetation index and fire risk index data input, (ii) mapping, visualization and hot spots analysis, (iii) identification of available resources and infrastructure for fire fight, (iv) data base update, (v) determination of firefight best routes. The use of FIRESIG reduces fire fight response time and helps the fire fight strategy definition. The FIRESIG can be considered as robust and a low price fire fight system. Additionally, the system can be adapted for use as a decision support system for other environmental disasters.


1997 ◽  
Vol 20 (1) ◽  
pp. 35-51 ◽  
Author(s):  
Suzanne D. Pinson ◽  
Jorge Anacleto Louçã ◽  
Pavlos Moraitis

2004 ◽  
Vol 12 (2) ◽  
pp. 91-117 ◽  
Author(s):  
Miltiadis A. Stamatopoulos ◽  
Konstantinos G. Zografos ◽  
Amedeo R. Odoni

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