We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Plastic waste collection route optimization: Bulgan province
AI summary Read the abstract
Researchers applied travelling salesman problem and vehicle routing algorithms to optimize plastic waste collection in rural Bulgan province, Mongolia, identifying ten efficient routes across 19 locations and revealing that urban centers generate substantially more waste per kilometer than sparsely populated areas.
Efficient plastic waste collection in rural Mongolia is critical to reducing environmental pollution and improving recycling outcomes. This study optimizes plastic waste transport routes in Bulgan province using the travelling salesman problem (TSP), and vehicle routing problem (VRP) algorithms and open-source GIS tools. By analyzing population data, waste generation rates, and vehicle capacity, ten optimal routes were identified for 15-ton load serving 19 key locations. Results show large disparities in route efficiency, with urban centers generating more waste per kilometer than sparsely populated areas. Recommendations include dynamic routing, vehicle load capacity, and investing in local waste compacting equipment. The findings offer practical solutions for cost-effective, sustainable rural waste management.
More Papers Like This
AI Techniques Aid for Optimizing the Collection System of Industrial Plastic Waste
AI summary Read the abstract
This study applied artificial intelligence techniques to optimize collection routes and predict demand for industrial plastic waste pickup. AI methods outperformed traditional statistical approaches in accuracy and route efficiency. Smarter collection systems could significantly reduce costs and improve recovery rates for industrial plastic waste.
Evaluation of formal waste reduction facility location compared to recyclable plastic waste generation in Denpasar City, Bali, Indonesia
AI summary Read the abstract
Researchers modeled the spatial distribution of recyclable plastic waste generation across 200 households in Denpasar City, Bali, using six machine learning algorithms, with a Light Gradient Boosting Machine (LGBM) model achieving an R2 of 0.954 on test data. Spatial analysis of formal waste reduction facility coverage revealed only 32% area coverage and 46% capacity utilization, indicating major gaps in the city's waste management infrastructure.
Optimizing plastics recycling networks
AI summary Read the abstract
Researchers developed mathematical optimization models — including linear programming tools — to help plan efficient plastic recycling networks that can tolerate some contamination from mixed plastic waste streams. These models could help overcome a key barrier to large-scale recycling by intelligently matching waste sources with the plants best equipped to handle them.
Boosting Rural Tourism through Sustainable Waste Management: A Step towards Green Tourism
AI summary Read the abstract
Researchers examine how rapid growth in rural tourism is intensifying single-use plastic waste pollution in natural areas, proposing waste-reduction strategies centered on reducing, reusing, and recycling non-biodegradable materials to reconcile tourism's economic benefits with environmental protection.
Efficiency assessment of regional plastic waste collection systems in mountain and border regions: A case study of the Upper Tisza Basin
AI summary Read the abstract
Mountain communities near the Ukraine-EU border collect way less plastic waste for recycling than lowland towns nearby—sometimes less than half as much—mainly because rugged terrain and scattered homes make trash pickup harder and less accessible. This matters because mishandled plastic waste in these mountain areas washes into rivers, eventually breaking down into microplastics that travel downstream across borders, potentially ending up in drinking water and food supplies. The good news: local efforts like community collection points and river cleanups boosted collection rates by up to 30%, suggesting practical, low-cost fixes can help protect water quality
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.