Modeling Community Recovery from Earthquakes

2006 ◽  
Vol 22 (2) ◽  
pp. 439-458 ◽  
Author(s):  
Scott B. Miles ◽  
Stephanie E. Chang
Keyword(s):  
Decision Support ◽  
Focus Group ◽  
Conceptual Model ◽  
Model Development ◽  
Puget Sound ◽  
Software Systems ◽  
Computer Simulation Model ◽  
Community Recovery ◽  
Support Tools ◽  
Recovery Models

This paper sets out the foundations for developing robust models of community recovery from earthquake disasters. Models that anticipate post-disaster trajectories are complementary to loss estimation models that predict damage and loss. Such models can serve as important decision support tools for increasing community resilience and reducing disaster vulnerability. The paper first presents a comprehensive conceptual model of recovery. The conceptual model enumerates important relationships between a community's households, businesses, lifeline networks, and neighborhoods. The conceptual model can be operationalized to create a numerical model of recovery. To demonstrate this, we present a prototype computer simulation model and graphical user interface. As the model is intended for decision support, it is important to involve potential users in model development. We conducted a focus group involving Puget Sound, Washington, area disaster management practitioners to elicit local insight about community recovery and model development needs, using the prototype as stimulus. Important focus group issues included potential model inputs, useful recovery indicators, potential uses of recovery models, and suitable types of software systems.

scholarly journals Conceptual model development for landscape management in the mountains of the Indian Himalayan region: an approach for sustainable socio-ecological development

2010 ◽  
Vol 18 ◽  
pp. 1-19 ◽  
Author(s):  
Sunil Nautiyal ◽  
Kottapalli S. Rado ◽  
Harald Kaechele ◽  
Peter M. Zander
Keyword(s):  
Conceptual Model ◽  
Socioeconomic Development ◽  
Model Development ◽  
Landscape Management ◽  
Field Work ◽  
Himalayan Region ◽  
Programming Approach ◽  
Original Research ◽  
Complex Environments ◽  
Support Tools

This study aims at presenting a conceptual model for landscape management in the Himalayan region of India, using quantitative/mathematical approach. Keeping in view the requirement, (based on fifteen years empirical field work in the Himalayan region and as well as literature survey) the MODAM (Multiple Objectives Decision Support Tools for Landscape Management) model along with linear programming approach was adopted with a view to presenting additional methodological perspectives on interdisciplinary landscape research. The work has stemmed out from the original research contribution, which tries to integrate interdisciplinary research planning with landscape management related research in the Himalayan region. This biodiversity hotspot has relatively high complexity in terms of sustainable socioeconomic development vis a vis conservation and management of the resources. The concepts and insights presented in this article will provide the basis for a discussion, on decision-making issues among multidisciplinary experts with regard to sustainable socioecological development within complex environments.

scholarly journals Conceptual model development for landscape management in the mountains of the Indian Himalayan region: an approach for sustainable socio-ecological development

2010 ◽  
Vol 18 ◽  
pp. 1-19 ◽  
Author(s):  
Sunil Nautiyal ◽  
Kottapalli S. Rado ◽  
Harald Kaechele ◽  
Peter M. Zander
Keyword(s):  
Conceptual Model ◽  
Socioeconomic Development ◽  
Model Development ◽  
Landscape Management ◽  
Field Work ◽  
Himalayan Region ◽  
Programming Approach ◽  
Original Research ◽  
Complex Environments ◽  
Support Tools

This study aims at presenting a conceptual model for landscape management in the Himalayan region of India, using quantitative/mathematical approach. Keeping in view the requirement, (based on fifteen years empirical field work in the Himalayan region and as well as literature survey) the MODAM (Multiple Objectives Decision Support Tools for Landscape Management) model along with linear programming approach was adopted with a view to presenting additional methodological perspectives on interdisciplinary landscape research. The work has stemmed out from the original research contribution, which tries to integrate interdisciplinary research planning with landscape management related research in the Himalayan region. This biodiversity hotspot has relatively high complexity in terms of sustainable socioeconomic development vis a vis conservation and management of the resources. The concepts and insights presented in this article will provide the basis for a discussion, on decision-making issues among multidisciplinary experts with regard to sustainable socioecological development within complex environments.

scholarly journals Identifying Potential for Decision Support Tools through Farm Systems Typology Analysis Coupled with WParticipatory Research: A Case for Smallholder Farmers in Myanmar

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 516
Author(s):  
So Pyay Thar ◽  
Thiagarajah Ramilan ◽  
Robert J. Farquharson ◽  
Deli Chen
Keyword(s):  
Decision Support ◽  
Focus Group ◽  
Participatory Research ◽  
Smallholder Farmers ◽  
Decision Support Tools ◽  
Focus Group Discussions ◽  
Group Discussions ◽  
Support Tools ◽  
Farm Systems ◽  
Typology Analysis

Decision Support Tools (DSTs) in agriculture have been widely developed but have not been well accepted by smallholder farmers. One reason for the limited use is that the tools do not account for the complexity of heterogeneous smallholder farming systems. Identifying farm typologies has facilitated technology transfer to target groups of farmers. Accounting for heterogeneity in farm systems can help in designing and deploying DSTs to address farmer needs. Typology analysis was applied to a 600-household survey dataset to identify different farm system types. Qualitative participatory research was used to assess the potential deployment of DSTs for fertilizer management. Six types of farm systems were identified with distinct characteristics in the study area of central Myanmar. Participatory research through focus group discussions with 34 participants from the six different farm types validated the farm typologies and found that farmers from one type considered that DSTs could be useful in gaining more information and knowledge. An important finding was that DSTs providing prescriptive advice were inconsistent with what many farmers want. Farmers indicated that discussion groups are a preferred learning-based approach rather than a prescriptive tool. Farmers preferred video clips and infographics integrated into existing familiar digital platforms. This study identifies heterogeneity within a large farm sample and develops a deeper understanding of fertilizer decisions as well as knowledge and intentions related to the use of DSTs or apps via follow-up focus group discussions. Incorporating a participatory research framework with typology identification can have a beneficial role in direct interactions with smallholders that may increase their acceptability of DSTs. This study has generated valuable information about farmer types and serves as a starting point for developing a framework for discussion support systems that may better relate to the needs of farmers.

Decision Support Tools For Assessing Petroleum Upstream Investments

2020 ◽  
pp. 323
Author(s):  
Nour Elislam Djedaa ◽  
Abderrezak Moulay Lakhdar
Keyword(s):  
Decision Support ◽  
Decision Support Tools ◽  
Support Tools

Elicitation of expert knowledge to develop decision support tools for use in water demand management planning

2007 ◽  
Vol 7 (5-6) ◽  
pp. 53-60
Author(s):  
D. Inman ◽  
D. Simidchiev ◽  
P. Jeffrey
Keyword(s):  
Decision Support ◽  
Water Demand ◽  
Expert Knowledge ◽  
Demand Management ◽  
Decision Processes ◽  
Conservation Strategy ◽  
Influence Diagrams ◽  
Decision Support Tools ◽  
Water Demand Management ◽  
Support Tools

This paper examines the use of influence diagrams (IDs) in water demand management (WDM) strategy planning with the specific objective of exploring how IDs can be used in developing computer-based decision support tools (DSTs) to complement and support existing WDM decision processes. We report the results of an expert consultation carried out in collaboration with water industry specialists in Sofia, Bulgaria. The elicited information is presented as influence diagrams and the discussion looks at their usefulness in WDM strategy design and the specification of suitable modelling techniques. The paper concludes that IDs themselves are useful in developing model structures for use in evidence-based reasoning models such as Bayesian Networks, and this is in keeping with the objectives set out in the introduction of integrating DSTs into existing decision processes. The paper will be of interest to modellers, decision-makers and scientists involved in designing tools to support resource conservation strategy implementation.

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