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Related Experiment Video

Updated: Jul 7, 2026

The Effect of Construction and Demolition Waste Plastic Fractions on Wood-Polymer Composite Properties
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Subregion districting analysis for municipal solid waste collection privatization.

Hung-Yueh Lin1, Jehng-Jung Kao

  • 1Department and Graduate Institute of Environmental Engineering and Management, Chaoyang University of Technology, Taichung, Taiwan, Republic of China.

Journal of the Air & Waste Management Association (1995)
|February 2, 2008
PubMed
Summary

This study introduces an optimization model for dividing municipal solid waste (MSW) collection areas into subregions. The model ensures efficient routes and fair competition by considering road networks and proximity.

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Area of Science:

  • Operations Research
  • Environmental Management
  • Urban Planning

Background:

  • Privatizing municipal solid waste (MSW) collection can enhance service quality and reduce costs.
  • Manual districting of MSW collection areas often results in inefficient routes and unequal subregions.
  • Current manual methods lack objective criteria for creating optimal and fair subregion plans.

Purpose of the Study:

  • To develop a systematic approach for dividing municipal solid waste (MSW) collection areas into optimal subregions.
  • To address the limitations of manual districting by incorporating key performance factors.
  • To ensure fair competition and operational efficiency in privatized waste collection services.

Main Methods:

  • A mixed-integer optimization model was developed for MSW subregion districting.
  • The model incorporates factors including compactness, road network integrity, collection cost, and regional proximity.
  • The model's applicability was demonstrated through two case studies.

Main Results:

  • The optimization model successfully generated districting plans for MSW collection areas.
  • The generated plans exhibited improved road network integrity compared to manual methods.
  • The model ensured good regional proximity, facilitating efficient waste collection operations.

Conclusions:

  • The proposed mixed-integer optimization model provides an effective solution for MSW subregion districting.
  • This approach overcomes the drawbacks of manual planning, leading to more efficient and equitable waste collection.
  • The model supports fair competition and improved service delivery in privatized waste management systems.