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Waste Management and Recycling

A Waste Management and Recycling use case for urban areas aiming at optimizing waste collection routes and schedules to improve efficiency, reduce emissions, and increase recycling rates. This scenario involves analyzing various context attributes to design and implement effective waste management strategies.

Goal 11 Goal 12

Decision makers

  • City Planners
  • Waste Management Companies
  • Environmental Protection Agencies

Objectives

To optimize waste collection routes and schedules to improve efficiency, reduce emissions, and increase recycling rates

Interactive application

(none)

Data attributes

Context

The situation decision makers are in when they have to make a decision can be described by the following attributes:

  1. PopulationDensity: Numerical integer (people per square kilometer)
  2. AreaType: Categorical (Residential, Commercial, Industrial, MixedUse)
  3. WasteGenerationRate: Numerical integer (kilograms per capita per day)
  4. RecyclingParticipationRate: Categorical (Low, Medium, High)
  5. ExistingWasteCollectionFrequency: Categorical (Daily, BiWeekly, Weekly, Fortnightly)
  6. Season: Categorical (Spring, Summer, Fall, Winter)
  7. DayOfWeek: Categorical (Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday)
  8. TrafficCondition: Categorical (Low, Medium, High)
  9. WasteSeparationPolicy: Categorical (None, Voluntary, Mandatory)
  10. PublicAwarenessLevel: Categorical (Low, Medium, High)

Actions

Decision makers can take the following actions:

  1. AdjustedCollectionFrequency: Categorical (Daily, BiWeekly, Weekly, Fortnightly) - Adjusting the frequency of waste collection based on waste generation rates and area type.
  2. RouteOptimization: Categorical (NotApplied, Basic, Advanced) - Implementing route optimization algorithms to reduce travel distance and time.
  3. RecyclingIncentives: Categorical (None, Low, Medium, High) - Offering incentives to increase recycling participation rates among residents and businesses.
  4. WasteSeparationEnforcement: Categorical (None, Soft, Strict) - Enforcing waste separation policies to improve recycling efficiency.
  5. EducationCampaigns: Categorical (None, Online, PublicEvents, Comprehensive) - Conducting public education campaigns to raise awareness about waste management and recycling.

Outcomes

Decision makers are evaluated on the following outcomes:

  1. CollectionEfficiency: Categorical (Low, Medium, High) - Efficiency of waste collection operations, considering factors like completion time and coverage. (Maximize)
  2. RecyclingRate: Numerical integer (percentage of waste recycled) (Maximize)
  3. EmissionsReduction: Numerical integer (percentage reduction in emissions compared to baseline) (Maximize)
  4. Cost: Numerical integer (calculated based on action attributes, operational costs, and potential savings, measured in thousands of dollars) (Minimize)

Data

(none)

Code

(none)

References

(none)

Discussion

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