Assessment of the soil protection function of forest ecosystems using GIS-based Multi-Criteria Decision Analysis: A case study in Adıyaman, Turkey

Komplexe Entscheidungssituationen, wie sie beispielsweise im Notfall- und Sanierungsmanagement nach einem kerntechnischen Störfall auftreten, erfordern eine Berücksichtigung technischer, ökonomischer, ökologischer, sozio-psychologischer und politischer Aspekte. Ansätze der Mehrzielentscheidungsunterstützung ermöglichen eine aggregierte Betrachtung verschiedener Aspekte, das Miteinbeziehen der subjektiven Präferenzen der Entscheidungsträger und tragen zu mehr Transparenz und Nachvollziehbarkeit von Entscheidungsprozessen bei. Dieser Beitrag befasst sich schwerpunktmäßig mit der Betrachtung von Unsicherheiten in solchen Entscheidungsprozessen. Zur Modellierung, Fortpflanzung und Visualisierung von Unsicherheiten wird ein Monte-Carlo-Ansatz vorgestellt und beispielhaft auf Daten eines fiktiven nuklearen Unfallszenarios angewendet. Generell ist der Ansatz jedoch auf allgemeine komplexe Entscheidungssituationen erweiterbar, insbesondere auf den Bereich sonstiger industrieller Notfälle. Eine interessante Fragestellung besteht weiterhin in der Untersuchung der Auswirkungen industrieller Notfälle auf die gesamte Wertschöpfungskette. Der erste Teil des Aufsatzes wurde bereits in Der Betriebswirt 1/2011 veröffentlicht, der letzte Teil folgt in Ausgabe 3/2011. Complex decision situations, such as in nuclear emergency and remediation management, require the consideration of technical, economic, ecological, socio-psychological and political aspects. Approaches for Multi-Criteria Decision Analysis (MCDA) help to take into account various incommensurable aspects and subjective preferences of the decision makers and thus contribute to transparency and traceability of decision processes. This paper focuses on the handling of uncertainties in such decision processes. Monte Carlo approaches can be used to model, propagate and finally visualise the uncertainties, as a case study on a hypothetical radiological accident scenario illustrates. In general, the presented approach can be adopted for any complex decision situation, especially for industrial emergencies. Further research would be necessary for the analysis of their consequences for entire supply chains. Keywords: risiko und notfallmanagement unter unsicherheit

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Comprehensive Assessment of Water Sensitive Urban Design Practices based on Multi-criteria Decision Analysis via a Case Study of the University of Melbourne, Australia

Water ◽

10.3390/w12102885 ◽

2020 ◽

Vol 12 (10) ◽

pp. 2885

Author(s):

Hanxiang Xiong ◽

Yafei Sun ◽

Xingwei Ren

Keyword(s):

Decision Analysis ◽

Urban Design ◽

Comprehensive Assessment ◽

Multi Criteria Decision Analysis ◽

Water Sensitive Urban Design ◽

Final Score ◽

Green Stormwater Infrastructure ◽

A Site ◽

The University

Water sensitive urban design (WSUD), as a typical green stormwater infrastructure (GSI), contains various facilities to decrease the urbanization impacts and enhance the values of amenity, ecosystem, and livability in Australia. Although WSUD has developed over 30 years, existing studies for WSUD performances have sometimes ignored its economic and social benefits, and there is still a lack of an integrated framework to optimize the GSI combinations based on various criteria in a site. This paper aims to utilize “score-rank-select” strategy to comprehensively assess WSUD combination scenarios from functional, economic, social, and environmental aspects, by taking the University of Melbourne (Parkville campus) as a case study. In detail, multi-criteria decision analysis (MCDA) was used for weight determination and scenario comparison. The results showed that scenario 4 with 52% green WSUD facilities had the highest assessment score (0.771) among the five scenarios, while the final score (0.758) of scenario 5 was lower than scenario 4 although its green facility proportion reached 69%. The trade-off relation between the proportion of grey and green WSUD facilities was further demonstrated. Additionally, this paper strongly recommends that the MCDA-based comprehensive assessment framework described here can be generally promoted for the water sector to solve the decision-making problems. The use of such a framework can further promote sustainable development by helping water managers to make informed and inclusive decisions involving a variety of factors.

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Holistic multi-criteria decision analysis evaluation of sustainable electric generation portfolios: New England case study

Applied Energy ◽

10.1016/j.apenergy.2019.03.019 ◽

2019 ◽

Vol 242 ◽

pp. 655-673 ◽

Cited By ~ 7

Author(s):

Destenie Nock ◽

Erin Baker

Keyword(s):

Decision Analysis ◽

New England ◽

Multi Criteria Decision Analysis ◽

Electric Generation

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GIS-MULTI CRITERIA DECISION ANALYSIS FOR LAND ALLOCATION IN CONFLICTING PURPOSE Case Study: Adjoining Area of D’Aguilar National Park, Brisbane, Australia

MAJALAH ILMIAH GLOBE ◽

10.24895/mig.2021.23-1.1255 ◽

2021 ◽

Vol 23 (1) ◽

pp. 53

Author(s):

Muhamad Iqbal Januadi Putra

Keyword(s):

Decision Making ◽

Decision Analysis ◽

National Park ◽

Land Area ◽

Conservation Area ◽

Multi Criteria Decision Analysis ◽

Land Use Conflict ◽

Adjoining Area ◽

Landscape Value

<p>While there are much research has been conducted to apply the Multi-Criteria Decision Analysis (MCDA) and Geographic Information System (GIS) method to determine the suitability area for a particular purpose, only limited research has tried to examine the different approach to apply this method for the conflicting purpose. One area that has the potential to experience land use conflict in the future is the adjoining area of D’Aguilar National Park, Brisbane, Australia, due to the presence of biodiversity landscape value that needs to be protected. The objective of this paper is to allocate an area for each both residential development and conservation area in the adjoining area of D’Aguilar National Park. This research covers the method of GIS in processing the MCDA to develop the model which has many factors to support the decision making, including for the conflicting purpose. Moreover, the method also used GIS-fuzzy MCDA or widely known as GIS-Fuzzy MCDA (GIS-FMCDA). The result of this research shows that allocating the conflicting land area is quite different from the non-conflicting one. Applying MCDA for the conflicting purpose requires different decision making to show which area would be optimal to allocate.</p>

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