Data Analysis and Data Envelopment Analysis in Municipal Solid Waste Management
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 599
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the characterization of efficiency and sustainability of Municipal Solid Waste (MSW) Management. The current state of MSW Management varies from regions lacking this utility to others with a measured service with regulations in place to increase its recycling and reuse rate. The trend is moving towards having more MSW under management, at rates increasing particularly in developing countries; and away from landfilling towards waste prevention and recycling.
Scientific research works dealing with data-based sustainable management strategies for Municipal Solid Waste (MSW) are welcome. We are especially seeking sustainable and innovative solutions that minimize the waste generated and ensure correct management of the waste, valuing the environment and society in line with the sustainable development and circular economy criteria.
We also encourage research works that analyze the quality of the data and its availability through open data, as well as efforts for publishing new up-to-date datasets on this area. Due to the complexity of the socio-demographic variables, degree of urbanization, product packaging, and MSW technologies and management, it is highly relevant to capture all relevant data in this domain. Tools such as Exploratory Data Analytics (EDA) are key to have a more precise picture of MSW management, whereas Data Envelopment Analysis (DEA), a non-parametric tool, helps scoring MSW management systems comparing peers. Research works that make use of these techniques, and in general any data-based analysis, to implement best practices and strategies in case studies, exploring its effectiveness and impact on waste reduction and, thus, the environment, are also welcome.
Authors should clearly identify the gap of knowledge and novelty of their work as well as highlight the main relevance of the research outcomes.
Prof. Dr. Guillermo López Taboada
Guest Editor
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Keywords
- Exploratory Data Analytics (EDA)
- Data Envelopment Analysis (DEA)
- Sustainable CDW management
- Efficient CDW management
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