scholarly journals Evaluation of Effective Parameters in Disaster Risk Reduction Plans with Multi Criteria Decision Making Method: An Analysis on Selected Country Samples

2021 ◽  
Author(s):  
Şenay YILDIRIM ◽  
Burcu ERTAŞ DENİZ
Keyword(s):  
Decision Making ◽  
New Zealand ◽  
Risk Reduction ◽  
Disaster Preparedness ◽  
Disaster Risk ◽  
Risk Identification ◽  
Multi Criteria Decision Making ◽  
Effective Parameters ◽  
Response And Recovery ◽  
Hierarchy Process

Abstract This study includes an approach that addresses how the criteria included in the national Risk Reduction Plans (DRR) of countries are measured quantitatively. Within the scope of the study, disaster management systems and DRR plans of countries with high disaster risk such as Japan, Turkey, Philippines and New Zealand were examined. The main criteria that make up the content of the DRR plans were determined. Risk Identification, Risk Reduction, Response and Recovery, Economic Disaster Risk Management, Disaster Preparedness, Governance and Compliance with Policies and Plans are selected as main criteria. 36 important components completing the main criteria were selected as sub-criteria. Then, all these criteria were weighted using multi-criteria decision-making process called the "Analytical Hierarchy Process". After the experts evaluated the existence of the main criteria and sub-criteria weighted with the AHP, country performance rankings were made for these four countries. As a result of the analysis, Japan was determined as the country with the best DRR plan and implementation, while our country ranked 2nd, New Zealand 3rd and Philippines 4th.

Disaster Informatics

2011 ◽  
pp. 80-94 ◽  
Author(s):  
Jishnu Subedi
Keyword(s):  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Information Dissemination ◽  
Disaster Risk ◽  
Risk Identification ◽  
Vital Role ◽  
Lack Of Information ◽  
Information And Communication ◽  
Response And Recovery ◽  
Effective Use

From risk identification to emergency response and recovery, information plays a vital role and the effective use of information is instrumental to reduce the impact of disasters. With the advancement of information and communication technology in the last few decades, lack of information is no longer a major issue for disaster risk reduction. The major issue, rather, is managing the information, translating it into a comprehensive knowledge for decision making and disseminating it to the communities at risk for action. The advancement of technology and reach of communication tools at a grassroots level have created an opportunity to increase effectiveness of disaster risk management with the optimum use of disaster informatics. This chapter presents an overview of disaster informatics, a conceptual framework for information management for disaster risk reduction, a review of existing approaches of information dissemination through the Internet and a review of the combined potential of Internet with tools which are widely available at grassroots levels.

scholarly journals From disaster relief to disaster risk reduction: a consideration of the evolving international relief mechanism

2008 ◽  
Vol 4 (2) ◽  
Author(s):  
Dewald Van Niekerk
Keyword(s):  
Risk Reduction ◽  
Disaster Preparedness ◽  
Disaster Risk Reduction ◽  
Disaster Relief ◽  
Development Assistance ◽  
Disaster Risk ◽  
Development Aid ◽  
Early Years ◽  
Gradual Shift ◽  
International Policies

Disaster risk reduction is an ever-growing concept and finds its application within various disciplines. This article investigates the development of disaster risk reduction and some of the most important aspects which shaped it. The early years of international disaster relief are discussed and it is shown how a change in this system was necessitated by a variety of factors and international disasters, which exposed its weakness. The article argues that disaster relief and development aid were inextricably linked and it is this linkage which provided a catalyst for questioning the manner in which relief, and development assistance, were provided. The later emphasis on disaster preparedness and management is discussed, and international policies and mechanisms, which contributed to a gradual shift in focus towards disaster risk reduction, enjoy attention. The article concludes that solutions to disaster risks lie within a rigorous trans- disciplinary focus.

scholarly journals SITE SUITABILITY ANALYSIS FOR INDUSTRIES USING GIS AND MULTI CRITERIA DECISION MAKING

2018 ◽  
Vol IV-5 ◽  
pp. 447-454 ◽  
Author(s):  
◽  
S. Saran ◽  
K. V. Ramana
Keyword(s):  
Decision Making ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Arable Land ◽  
Multi Criteria Decision Making ◽  
Suitability Analysis ◽  
Policy Makers ◽  
The People ◽  
Manufacturing Sectors ◽  
Hierarchy Process

<p><strong>Abstract.</strong> Developing countries have to be very cautious in utilizing the land as they affect the food security, cause damage to environment and an ecological imbalance might be created in the process of establishing industries to raise the standard of living of the people from poverty. India, as a developing nation with sufficient amount of arable land at present is producing surplus food which is sufficient for all the population, in the recent decades loosing productive agricultural land without proper scientific solution for industries. This is a major concern because it causes not only food scarcity but dependency on the other nations even though we have lot of industries. We need to maintain a balance between Agriculture and manufacturing sectors to have smooth run of the country’s economy. The purpose of the study is to assess the land use changes in the areas for recent years which have potential for industrial establishment through land suitability analysis (LSA) to emphasize both agriculture and industries with sustainable development. Geographic information Systems (GIS) and Multi Criteria Decision Making (MCDM) are combined to distinctly identify the suitable zones for industries. Six criteria in Analytical hierarchy Process (AHP) and nine criteria in Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are evaluated by spatial analysis using ArcGIS software. Considerable amount of productive agricultural land is diverted to non agricultural purposes during last 12 years i.e., from 2004&amp;ndash;2016, which is at first taken for industrial establishment. Results obtained by the methodology we followed have given considerable accuracy by cross checking the previously established industries with suitability regions. Thus GIS and MCDM can assist the policy makers and planning officials to get a better overview with the resources they possess to carry forward with less damage to environment and agricultural land.</p>

THE INTEGRATION OF ANALYTICAL HIERARCHY PROCESS AND DATA ENVELOPMENT ANALYSIS IN A MULTI-CRITERIA DECISION-MAKING PROBLEM

2006 ◽  
Vol 05 (02) ◽  
pp. 263-276 ◽  
Author(s):  
NORITA AHMAD ◽  
DANIEL BERG ◽  
GENE R. SIMONS
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Analytical Hierarchy Process ◽  
Data Envelopment ◽  
Multi Criteria Decision Making ◽  
Analysis Model ◽  
Decision Tool ◽  
Manufacturing Enterprises ◽  
Decision Making Problem ◽  
Hierarchy Process

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.

Some Conflicting Results in the Analytic Hierarchy Process

2019 ◽  
Vol 18 (02) ◽  
pp. 465-486 ◽  
Author(s):  
Ardalan Bafahm ◽  
Minghe Sun
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Decision Makers ◽  
Unexpected Result ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Preference Relations ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

The analytic hierarchy process (AHP) has been believed to be one of the most pragmatic and widely accepted methods for multi-criteria decision making. However, there have been various criticisms of this method within the last four decades. In this study, the results of AHP contradicting common expectations are examined for both the distributive and ideal modes. Specifically, conflicting priorities, conflicting decisions, and conflicting preference relations are investigated. A decision-making scenario is used throughout the paper and an illustrative example constructed from the decision-making scenario is provided to demonstrate each of the conflicting results recommended by AHP. With a parametric formulation of each unexpected result, the possibility of unexpected results of AHP is generalized irrespective of applying the distributive or ideal mode. The logic and causes of these contradictions are also analyzed. This study shows that AHP is not always reliable, and could lead the decision makers towards incorrect decisions.

Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection

2013 ◽  
pp. 26-44 ◽  
Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multi Criteria Decision Making ◽  
Linguistic Variables ◽  
Analytic Hierarchy ◽  
Multi Attribute Decision Making ◽  
Electronic Parts ◽  
Hierarchy Process

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.

Active Learning and Disaster Risk Reduction

2018 ◽  
pp. 166-189
Author(s):  
LaMesha Lashal Craft
Keyword(s):  
Social Media ◽  
United Nations ◽  
Risk Reduction ◽  
Disaster Preparedness ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Media Technology ◽  
Resilient Communities ◽  
The United Nations ◽  
Social Media Technology

The author provides a robust discussion of an ethnographic case study to facilitate creative thinking about how to use communications and social media technology to build resilience and improve citizen disaster preparedness through a “Be Ready” trivia campaign. This research can inform strategies to achieve several of the United Nations Sustainable Development Goals (SDGs) as well as the United Nations Office for Disaster Risk Reduction's Sendai Framework for Disaster Risk Reduction (SFDRR). Future research directions include a new community resilience index that measures citizens' use of communications and social media technology. Implications for social change include raising the level of public awareness and facilitating a means to improve personal responsibility for disaster preparedness through low cost education programs. This could improve efforts by government and non-government organizations to improve disaster risk reduction; increase access to information and communication technology; increase disaster emergency planning and response; and build resilient communities.

Relocalisation for degrowth and disaster risk reduction

2020 ◽  
Vol 29 (6) ◽  
pp. 877-891
Author(s):  
Oluwadunsin Moromoke Ajulo ◽  
Jason von Meding ◽  
Patrick Tang
Keyword(s):  
New Zealand ◽  
Economic System ◽  
Risk Reduction ◽  
Disaster Risk Reduction ◽  
Wealth Distribution ◽  
Disaster Risk ◽  
Bottom Up ◽  
Content Type ◽  
Vulnerability Reduction ◽  
Local Initiatives

PurposeVulnerability is understood as susceptibility to hazards born out of the complex interaction within the system scales. The current global economic system focuses on persistent growth and a top-down approach to wealth distribution, which not only puts a strain on the Earth's resources but also on communities by increasing vulnerability. Localised economy, on the other hand, uses a bottom-up approach to wealth distribution, whereby local resources are harnessed for sustainability of the local economy. Localising economies facilitate degrowth by shifting our focus to the quality of economies and the redefinition of growth and prosperity. The purpose of this study is to highlight the potentials of localisation and degrowth for vulnerability reduction.Design/methodology/approachIn this study, the authors conducted a case study of the Lyttelton community in New Zealand, their local initiatives and how these efforts have been used to build capacities and reduce vulnerabilities in the community. Data were sourced from both primary and secondary sources. Primary data were sourced through observation of the day-to-day running of the community and interviews with community members, while secondary data were sourced from existing literature on the community and related concepts.FindingsLyttelton community provides a good example of a community where bottom-up initiatives are particularly felt, and there is very limited dependence on the conventional economic system to solve their problems. The study shows that degrowth initiatives within the community have gained momentum because initiators see the value in their coming together as a community and doing what is right for themselves and the environment. Furthermore, localisation fosters innovation, personal growth and development and care for the environment.Originality/valueThis paper contributes to the existing knowledge by discussing some local initiatives that serve an underlying purpose for degrowth based on a study carried out in Lyttelton, New Zealand. The study findings established that there is need for more focus on sensitisation about the risks of growth mania and the potential for degrowth in bringing about actual prosperity, for saving the environment and disaster risk reduction. Also, the encouragement of local production and existing institutions like the timebank, which give members access to the needed resources and skills contribute to vulnerability reduction.

scholarly journals A consumer-based textile quality scoring model using multi-criteria decision making

2019 ◽  
Vol 14 ◽  
pp. 155892501985477
Author(s):  
Romain Benkirane ◽  
Sébastien Thomassey ◽  
Ludovic Koehl ◽  
Anne Perwuelz
Keyword(s):  
Decision Making ◽  
Quality Criteria ◽  
Quality Score ◽  
Ranking Method ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Requirements Specifications ◽  
Textile Testing ◽  
Fuzzy Techniques ◽  
Hierarchy Process

In the clothing industry, the understanding of the quality is a major issue to well meet the customer needs. The dilemma that faces manufacturers is to find the balance between good quality and “overquality,” what the quality criteria are, and how to target requirements specifications. The aim of this study was to propose a multi-attribute ranking method of products. Ranking is based on an overall quality score. The quality score, here called consumer-based quality, is computed via the combination of textile testing and consumer perception to deterioration. Such a perception has been surveyed, and damage that can lead to end of life has been investigated. Collected data have been translated into a consumer sensitivity using multi-criteria decision making and fuzzy techniques. The fuzzy analytic hierarchy process has been used. Five damage categories have been weighted. A selection of appropriate tests according to standards has been completed to test the product resistance to the damage. The tests results have been computed with the consumer sensitivity to obtain the consumer-based quality score. Finally, the ranking method is applied on T-shirts, and a single score ranking is made possible and objectively depict perceived quality.

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