Exploring the use of economic evaluation in Australian wildland fire management decision-making

2014 ◽  
Vol 23 (4) ◽  
pp. 555 ◽  
Author(s):  
Helena Clayton ◽  
Melinda R. Mylek ◽  
Jacki Schirmer ◽  
Geoffrey J. Cary ◽  
Stephen R. Dovers

Wildland fire managers make daily decisions about ways to allocate scarce resources to meet policy objectives. Making these decisions has become more challenging as the frequency and size of fires increase, as does associated risk to assets and costs of management. There is growing interest in using economic evaluation to inform resource allocation decisions, but little work has examined the economic evaluation needs of wildland fire managers, their current use of economic information and the factors that aid or hinder use. This study examined these issues through a survey of Australian wildland fire managers in fire management and policy roles. We found that despite strong interest in economic evaluation, managers have limited familiarity with most evaluation methods or use of the information derived. Several actions can improve the use and usefulness of economic evaluation for wildland fire managers: first, building capacity of managers to both commission and use economic information; second, integrating analysis of market and non-market benefits and costs as part of economic evaluation and third, better integrating economic evaluation with the broader context of decision-making processes.

2002 ◽  
Vol 37 (1-3) ◽  
pp. 185-198 ◽  
Author(s):  
B.S Lee ◽  
M.E Alexander ◽  
B.C Hawkes ◽  
T.J Lynham ◽  
B.J Stocks ◽  
...  

2017 ◽  
Vol 26 (7) ◽  
pp. 562 ◽  
Author(s):  
Matthew P. Thompson ◽  
Francisco Rodríguez y Silva ◽  
David E. Calkin ◽  
Michael S. Hand

Characterising the impacts of wildland fire and fire suppression is critical information for fire management decision-making. Here, we focus on decisions related to the rare larger and longer-duration fire events, where the scope and scale of decision-making can be far broader than initial response efforts, and where determining and demonstrating efficiency of strategies and actions can be particularly troublesome. We organise our review around key decision factors such as context, complexity, alternatives, consequences and uncertainty, and for illustration contrast fire management in Andalusia, Spain, and Montana, USA. Two of the largest knowledge gaps relate to quantifying fire impacts to ecosystem services, and modelling relationships between fire management activities and avoided damages. The relative magnitude of these and other concerns varies with the complexity of the socioecological context in which fire management decisions are made. To conclude our review, we examine topics for future research, including expanded use of the economics toolkit to better characterise the productivity and effectiveness of suppression actions, integration of ecosystem modelling with economic principles, and stronger adoption of risk and decision analysis within fire management decision-making.


2017 ◽  
Vol 26 (7) ◽  
pp. 551 ◽  
Author(s):  
Christopher J. Dunn ◽  
David E. Calkin ◽  
Matthew P. Thompson

Wildfire’s economic, ecological and social impacts are on the rise, fostering the realisation that business-as-usual fire management in the United States is not sustainable. Current response strategies may be inefficient and contributing to unnecessary responder exposure to hazardous conditions, but significant knowledge gaps constrain clear and comprehensive descriptions of how changes in response strategies and tactics may improve outcomes. As such, we convened a special session at an international wildfire conference to synthesise ongoing research focused on obtaining a better understanding of wildfire response decisions and actions. This special issue provides a collection of research that builds on those discussions. Four papers focus on strategic planning and decision making, three papers on use and effectiveness of suppression resources and two papers on allocation and movement of suppression resources. Here we summarise some of the key findings from these papers in the context of risk-informed decision making. This collection illustrates the value of a risk management framework for improving wildfire response safety and effectiveness, for enhancing fire management decision making and for ushering in a new fire management paradigm.


2017 ◽  
Vol 2017 (2) ◽  
pp. 191-195
Author(s):  
Татьяна Карлова ◽  
Tatyana Karlova ◽  
Александр Бекмешов ◽  
Aleksandr Bekmeshov ◽  
Марианна Михайлова ◽  
...  

Author(s):  
Makhsad Isabayev Bakhodirovich ◽  

In this scientific article, international and national legislation on citizens decision-making processes has been investigated, to what extent is the importance of public control in the process of political decision-making, the implementation of citizens' participation in local government directly by itself or through elected representatives (political institutions). Also, practical proposals aimed at increasing the participation of public structures in decision-making were made.


Author(s):  
Orhan Kaya ◽  
Halil Ceylan ◽  
Sunghwan Kim ◽  
Danny Waid ◽  
Brian P. Moore

In their pavement management decision-making processes, U.S. state highway agencies are required to develop performance-based approaches by the Moving Ahead for Progress in the 21st Century (MAP-21) federal transportation legislation. One of the performance-based approaches to facilitate pavement management decision-making processes is the use of remaining service life (RSL) models. In this study, a detailed step-by-step methodology for the development of pavement performance and RSL prediction models for flexible and composite (asphalt concrete [AC] over jointed plain concrete pavement [JPCP]) pavement systems in Iowa is described. To develop such RSL models, pavement performance models based on statistics and artificial intelligence (AI) techniques were initially developed. While statistically defined pavement performance models were found to be accurate in predicting pavement performance at project level, AI-based pavement performance models were found to be successful in predicting pavement performance in network level analysis. Network level pavement performance models using both statistics and AI-based approaches were also developed to evaluate the relative success of these two models for network level pavement performance modeling. As part of this study, in the development of pavement RSL prediction models, automation tools for future pavement performance predictions were developed and used along with the threshold limits for various pavement performance indicators specified by the Federal Highway Administration. These RSL models will help engineers in decision-making processes at both network and project levels and for different types of pavement management business decisions.


2004 ◽  
Vol 28 (1) ◽  
pp. 73
Author(s):  
Donna M Anderson

Data from a questionnaire administered to senior managers in the New England Area Health Service (NEAHS) was used to examine gender differences in decision-making processes. The study found that female managers were more likely to report that they included staff in decision-making processes. The small size of the population restricted the statistical analysis; more meaningful findings may result if the study were to be repeated using a larger population of senior managers.


Author(s):  
Jenna Tyler ◽  
Abdul-Akeem Sadiq ◽  
Douglas S. Noonan ◽  
Rebecca M. Entress

AbstractTo reduce flood losses, floodplain managers make decisions on how to effectively manage their community’s flood risks. While there is a growing body of research that examines how individuals and households make decisions to manage their flood risks, far less attention has been directed at understanding the decision-making processes for flood management at the community level. This study aimed to narrow this research gap by examining floodplain managers’ perceptions of the quality of their community’s flood management decision-making processes. Data gathered from interviews with 200 floodplain managers in the United States indicate that most floodplain managers perceive their community’s flood management decision-making processes to be good. The results also indicate that communities participating in the Federal Emergency Management Agency’s Community Rating System, as well as communities with a higher level of concern for flooding and a lower poverty rate, are significantly more likely to report better flood management decision-making processes.


Sign in / Sign up

Export Citation Format

Share Document