Developing service-based web application for determining waste bin locations

Area of Science:

• Urban planning
• Environmental engineering
• Geographic Information Systems (GIS)

Background:

• Rapid urbanization and population growth exacerbate urban solid waste management challenges.
• Inefficient waste bin placement and manual route determination increase operational costs and environmental issues.
• Current waste management practices often lead to increased costs and negative environmental and social impacts.

Purpose of the Study:

• To develop a web-based GIS application for optimizing waste bin locations and collection routes.
• To enhance the efficiency of urban solid waste management operations.
• To reduce operational costs, travel distances, and carbon emissions associated with waste collection.

Main Methods:

• Development of a web-based GIS application using Python scripts for bin location optimization.
• Integration of real-time population data for dynamic bin placement.
• Utilization of ArcGIS Network Analyst's Vehicle Routing Problems (VRP) tool for route determination.

Main Results:

• The developed system achieved a 12.4% improvement in travel distance.
• Operation time was reduced by approximately 44.58% in the pilot study.
• Optimized bin placement and routes demonstrated significant potential for cost and emission reductions.

Conclusions:

• The web-based GIS application effectively optimizes waste bin placement and collection routes.
• The system offers a scalable solution for improving urban solid waste management.
• Significant improvements in efficiency, cost, and environmental impact are achievable with this approach.