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Related Experiment Videos

How model-based systems analysis can be improved for waste management planning.

Ola Eriksson1, Mattias Olofsson, Tomas Ekvall

  • 1Industrial Ecology, Dept. of Chemical Technology and Engineering, Royal Institute of Technology (KTH), Osquars backe 7, S-100 44 Stockholm, Sweden.

Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA
|February 28, 2004
PubMed
Summary

Waste management models aid decision-makers in handling complex waste issues cost-effectively and sustainably. This study examines why these models are underutilized in Sweden and how to increase their adoption for better waste planning.

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Area of Science:

  • Environmental Science
  • Operations Research
  • Public Policy

Background:

  • Waste management models have been developed globally since the 1960s to support decision-makers.
  • These models offer benefits in managing complexity, uncertainty, and diverse goals in waste handling.
  • Despite successful Swedish projects since the 1990s, current demand for these models in national waste planning is low.

Purpose of the Study:

  • To analyze the reasons behind the underutilization of waste management models in Swedish planning.
  • To identify strategies for enhancing the application of these models to meet decision-makers' needs.
  • To improve the integration of waste management models into practical planning processes.

Main Methods:

  • Case studies of waste management models MIMES/Waste and ORWARE in Jönköping municipality.

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  • Follow-up study to analyze model implementation and decision-maker engagement.
  • Qualitative analysis of factors influencing model adoption and utility.

    • Main Results:

    • Waste management models offer significant advantages in complexity and uncertainty management.
    • Despite proven benefits, there's a disconnect between model capabilities and current planning practices in Sweden.
    • Specific case studies reveal barriers to model integration and suggest areas for improvement.

    Conclusions:

    • The adoption of waste management models in Sweden is hindered by factors not fully addressed by current research.
    • Improvements are needed to align model functionalities and outputs with the practical requirements of waste management decision-makers.
    • Increased model utilization can lead to more cost-efficient and environmentally sound waste management strategies.