Optimizing municipal solid waste collection with GIS-Based High-Density routing and zoning


YALÇINKAYA S., Kaleli H. İ.

Transportation Research Part D: Transport and Environment, cilt.148, 2025 (SCI-Expanded, SSCI, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 148
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1016/j.trd.2025.105012
  • Dergi Adı: Transportation Research Part D: Transport and Environment
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Compendex, EconLit, Environment Index, Geobase, INSPEC, Public Affairs Index
  • Anahtar Kelimeler: Capacitated arc routing problem, Geographic information system, High density routing, Solid waste management, Vehicle routing problem, Waste collection
  • Marmara Üniversitesi Adresli: Evet

Özet

Inefficient routing remains a critical challenge in municipal solid waste (MSW) management. This study aims to improve MSW collection for dispersed collection points through a case study in the Çiğli District of İzmir, Turkey. GIS-based analyses were used to optimize collection routes with the aim of minimizing working time, reducing fuel consumption and travel distance, as well as lowering exhaust emissions. Different routing scenarios were compared, including zoning and non-zoning approaches, using arc and node routing problem types. The high-density routing scenario, in which the built-in GIS-based VRP solver was configured with U-turn restrictions to emulate a capacitated arc routing problem, provided the best improvement. Compared to the current system, this scenario achieved 16.94% savings in collection time, 21.47% in travel distance, 24.57% in fuel consumption, and 29.54% in CO2 emissions. Additionally, the overall municipal greenhouse gas emissions were reduced by 2.36%. This approach is practically adaptable through easy implementation and requires no custom algorithms. The study demonstrates the environmental and operational benefits of systematic MSW collection optimization.