Estimation and allocation of solid waste to bin through geographical information systems.

Area of Science:

• Environmental Science
• Urban Planning
• Geographic Information Systems

Background:

• Accurate solid waste generation estimation is crucial for effective urban management.
• Existing methods may not fully integrate spatial data for optimized collection.
• Urban areas face challenges in efficient waste transportation and bin allocation.

Purpose of the Study:

• To develop a precise Geographical Information System (GIS)-based procedure for solid waste generation estimation.
• To determine optimal bin locations and collection routes considering local topology and cart puller accessibility.
• To present computational results for bin parameters and removal frequency in an urban setting.

Main Methods:

• Utilized a GIS environment with a Triangulated Irregular Network (TIN) for spatial analysis.
• Integrated local population density and income group distribution for waste generation computation.
• Determined command areas for waste allocation based on proximity and route slope to collection points.

Main Results:

• Precise estimation of solid waste generation based on demographic and spatial data.
• Identification of optimal bin locations, types, sizes, and collection frequencies.
• Demonstrated the feasibility of the GIS-based procedure for urban waste management.

Conclusions:

• The GIS-based procedure offers a robust approach for accurate solid waste estimation and management.
• Optimized bin placement and collection routes enhance the efficiency of waste transportation.
• This methodology provides valuable insights for sustainable urban solid waste management strategies.