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Sustainability, Resilience and Risk Assessments Enabled by Multiple Criteria Decision Analysis (MCDA)

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (26 March 2023) | Viewed by 9947

Special Issue Editors


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Guest Editor
Decision Engineering for SustaInability and REsilience (DESIRE) Laboratory, Leiden University College (LUC-Office 4.22), Faculty of Governance and Global Affairs, Leiden University, Anna van Buerenplein 301, 2595 DG The Hague, The Netherlands
Interests: sustainability; resilience; risk assessments; multiple criteria decision analysis; decision support systems; life cycle-based evaluations; statistical analysis

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Guest Editor
Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznań, Poland
Interests: multiple criteria decision analysis; decision support systems; multiple objective optimization; data envelopment analysis; group decision and negotiation

Special Issue Information

Dear Colleagues,

Multiple criteria evaluation involving numerous pertinent and (sometimes) conflicting factors is the core of sustainability, resilience, and risk assessments. The same is true for the preferences of the stakeholders involved in these complex processes. Multiple Criteria Decision Analysis (MCDA) is an excellent methodology to aid them because it offers the tools to deal with these assessments’ complexities. MCDA aids decision makers in problem structuring, preference elicitation and modeling, and problem-solving by providing the requested decision recommendations (e.g., ranking, sorting, choice).

This Special Issue (SI) aims to gather contributions that show how MCDA can be used to facilitate decision-making processes in sustainability, resilience, and risk assessments.

Without being exhaustive, the topics of primary interest for the SI include:

  • The process of MCDA methods selection and/or preferences’ elicitation;
  • The steps followed to develop the MCDA;
  • How MCDA terminology and concepts are operationalized in the application domains, for example, when eliciting preference information or constructing a decision recommendation;
  • How decision support systems (DSSs) can inform rapidly changing decision-making contexts;
  • The solutions adopted to solve difficulties encountered in the decision-making process, for example, during problem structuring and/or model development;
  • Inclusion of multiple stakeholders and consensus-building;
  • Uncertainty management;
  • Interactions between criteria.

Particular preference will be given to articles dealing with:

  • One or more Sustainable Development Goals (SDGs);
  • Life cycle-based evaluations;
  • Strategies to assess and/or manage the disruptions caused by COVID-19;
  • Technology management;
  • Policy-making support.

Each contribution must show a clear link with one or more application areas, namely sustainability, resilience, and risk assessments. 

Dr. Marco Cinelli
Dr. Miłosz Kadziński
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Multiple criteria decision analysis
  • MCDA
  • MCDM
  • Sustainability
  • Resilience
  • Risk assessment
  • Decision making
  • Technology management
  • Decision support
  • Remediation

Published Papers (3 papers)

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Research

29 pages, 1720 KiB  
Article
A Framework to Navigate Eco-Labels in the Textile and Clothing Industry
by Paula Ziyeh and Marco Cinelli
Sustainability 2023, 15(19), 14170; https://doi.org/10.3390/su151914170 - 25 Sep 2023
Cited by 2 | Viewed by 3542
Abstract
Considering the increasing demand for more sustainable products across many industries, eco-labels are a useful tool for communicating the sustainability-related performance of a product to the eco-conscious consumer. However, the abundance of different eco-labels and a lack of harmonization concerning their assessment methods [...] Read more.
Considering the increasing demand for more sustainable products across many industries, eco-labels are a useful tool for communicating the sustainability-related performance of a product to the eco-conscious consumer. However, the abundance of different eco-labels and a lack of harmonization concerning their assessment methods can hamper their effectiveness. To address these shortcomings, this paper considers the methods employed by eco-labels in the textile and clothing industry to assess the sustainability-based performance of products. Using a sample of 10 eco-labels from the Ecolabel Index, a new framework for classifying eco-labels based on their assessment methods is developed. The framework includes two categories of label assignments ((i) binary and (ii) different levels of performance) and six types of assessment methods. These types are characterized according to the decision support features employed by the labels, such as lists of mandatory criteria, minimum (average) scores, percentage scores, and the weighting of sub-categories. The proposed framework shows the benefits of cascading decision science notions in the eco-labeling domain. It provides a harmonized vocabulary of components (i.e., a roadmap) to perform a consistent and traceable advancement of eco-labels. Consequently, it can be expanded at present to allow for the classification of other eco-labels in the textile and clothing industry and beyond. Full article
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15 pages, 997 KiB  
Article
A Novel AHP-PRISM Risk Assessment Method—An Empirical Case Study in a Nuclear Power Plant
by Ferenc Bognár and Petra Benedek
Sustainability 2022, 14(17), 11023; https://doi.org/10.3390/su141711023 - 3 Sep 2022
Cited by 12 | Viewed by 2070
Abstract
Risk assessment methods are a continuously developing field in research and practice. Multi-Criteria Decision-Making (MCDM) methods, like AHP (Analytic Hierarchy Process), have a significant role in traditional risk assessment development. The PRISM (Partial Risk Map) methodology is a novel risk assessment method aiming [...] Read more.
Risk assessment methods are a continuously developing field in research and practice. Multi-Criteria Decision-Making (MCDM) methods, like AHP (Analytic Hierarchy Process), have a significant role in traditional risk assessment development. The PRISM (Partial Risk Map) methodology is a novel risk assessment method aiming at safety and reliability-sensitive operational fields. Since the PRISM method initially applies deterministic evaluation scales just like many traditional risk assessment techniques, this research focuses on developing the PRISM method by combining it with AHP. Thus, the new AHP-PRISM method can create more sensitive rankings than the original method, and the consistency of the expert group can also be tested after the assessment. By applying the consistency test, the reliability of the assessment can be described, which is necessary for a safety culture environment. Based on a real-life case study in a nuclear power plant (NPP), the new AHP-PRISM method is tested. Full article
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23 pages, 3135 KiB  
Article
Towards the 2030 Agenda: Measuring the Progress of the European Union Countries through the SDGs Achievement Index
by Lucia Rocchi, Elena Ricciolini, Gianluca Massei, Luisa Paolotti and Antonio Boggia
Sustainability 2022, 14(6), 3563; https://doi.org/10.3390/su14063563 - 17 Mar 2022
Cited by 12 | Viewed by 3193
Abstract
The 2030 Agenda and Sustainable Development Goals were adopted by the United Nations in 2015 as a universal call to action to end poverty, protect the planet, and ensure that by 2030 all people enjoy peace and prosperity. The success or failure in [...] Read more.
The 2030 Agenda and Sustainable Development Goals were adopted by the United Nations in 2015 as a universal call to action to end poverty, protect the planet, and ensure that by 2030 all people enjoy peace and prosperity. The success or failure in their implementation largely depends on the national implementation effort, measured within wide and compound indicator frameworks. Due to such complexity, providing a simple but comprehensive view on the progress to achieve the SDGs is a priority. Moreover, the measure of the progress allows the consistency among the different dimensions of sustainable development to be assessed. The purpose of this work is to evaluate the results accomplished by European Union Countries in achieving SDGs. In particular, the paper proposed the SDGs achievement index (SDG-AI), a multicriteria-based index, including six different dimensions and applied to EU countries. The SDG-AI allows the differences across the EU countries to be highlighted, and also assesses the contribution of the different dimensions to the final result. The use of such an index will also be useful to understand the effect of the pandemic on the development. Full article
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