Optimal route selection using network analysis in terms of time, cost and fuel savings: The case of İskenderun, Türkiye

Abstract

Solid waste generation has increased significantly as a result of increasing population and living standards. In this context, variables such as waste classification, amount produced, collection and transportation status, disposal method, socioeconomic status of the region include important stages in system planning. It is important to optimize these variables, waste collection route, time, cost, environmental impacts and examine the current situation. The cost of collection and processing accounts for roughly 65-80% of the total cost of the solid waste management system managed by local governments. Therefore, by optimization studies, the trash collection-transport route can significantly reduce this rate. Depreciation and fuel expenditures can be significantly reduced as a result of improvements in operational costs. Denizciler neighborhood was selected as an example of all district characteristics within the study's scope when the socio-economic, demographic, and topographic conditions of the Iskenderun district of Hatay province were evaluated. The ESRI ARCGIS software's tools have been used to test the optimization path. A 421-meter shorter route was discovered using network analysis. Considering the current route, which is 14340 meters long, a 3% improvement has been achieved with the analysis made. Garbage collection was done using the newly developed route in the study's final section. As a result, the viability of the network analysis enhancement has been evaluated in practice, and it has been discovered that time and fuel savings are realized in terms of cost.

Keywords

• Solid waste
• municipal solid waste management
• solid waste collection
• route
• GIS

References

1. TÜİK, “Turkish Statistical Institute,” Available at: https://www.tuik.gov.tr/. Accessed on Feb 16, 2021.
2. L. Guibrunet, “What is “informal” in informal waste management? Insights from the case of waste collection in the Tepito neighbourhood, Mexico City,” Waste Management, Vol. 86, pp. 13–22, 2019. [CrossRef]
3. S. Das, and B. K. Bhattacharyya, “Optimization of municipal solid waste collection and transportation routes,” Waste Management, Vol. 43, pp. 9–18, 2015. [CrossRef]
4. P. Rathore, and S. P. Sarmah, “Modeling transfer station locations considering source separation of solid waste in urban centers: A case study of Bilaspur city, India,” Journal of Cleaner Production, Vol. 211, pp. 44–60, 2019. [CrossRef]
5. C. Blazquez, and G. Paredes-Belmar, “Network design of a household waste collection system: A case study of the commune of Renca in Santiago, Chile,” Waste Management, Vol. 116, pp. 179–189, 2020. [CrossRef]
6. Ş. İrdemez, M. Yıldırım, S. Kul, F. E. Torun, and Z. Bingül, “Erzurum-Palandöken katı atık toplama-taşıma sisteminin cbs destekli optimizasyonu,” Kent Akademisi, Vol. 14(3), pp. 687704, 2021. [Turkish] [CrossRef]
7. C. X. Lou, J. Shuai, L. Luo, and H. Li, “Optimal transportation planning of classified domestic garbage based on map distance,” Journal of Environmental Management, Vol. 254, Article 109781, 2020. [CrossRef]
8. M. Abdallah, M. Adghim, M. Maraqa, and E. Aldahab, “Simulation and optimization of dynamic waste collection routes,” Waste Management & Research, Vol. 37(8), pp. 793–802, 2019. [CrossRef]

9. A. Exposito-Marquez, C. Exposito-Izquierdo, J. Brito-Santana, and J. A. Moreno-Pérez, “Greedy randomized adaptive search procedure to design waste collection routes in La Palma,” Computers & Industrial Engineering, Vol. 137, Article 106047, 2019. [CrossRef]
10. M. A. Hannan, M. H. Lipu, M. Akhtar, R. A. Begum, M. A. Al Mamun, A. Hussain, and H. Basri, “Solid waste collection optimization objectives, constraints, modeling approaches, and their challenges toward achieving sustainable development goals,” Journal of Cleaner Production, vol. 277, Article 123557, 2020. [CrossRef]
11. S. Chalkias, and K. Lasaridi, “GIS based model for the optimisation of municipal solid waste collection: the case study of Nikea, Athens, Greece,” Wseas Transactions on Environment and Development, Vol. 70, pp. 640–650, 2009.
12. V. Sanjeevi, and P. Shahabudeen, “Optimal routing for efficient municipal solid waste transportation by using Arc GIS application in Chennai, India,” Sage Journals, Vol. 34, no. 1, pp. 11–21, 2016. [CrossRef]
13. M. E. Çakır, A. Demir-Yetiş, M. İ. Yeşilnacar, and M. Ulukavak, “Determination of the optimum routes and performing of the spatial distribution maps for solid waste using GIS: A case of study from Suruç (Şanlıurfa),” BEU Journal of Science, Vol. 8(2), pp. 595–603, 2019. [CrossRef]
14. H. Pamukçu, “Optimization of solid waste collection route: The example of Kayapinar (Diyarbakir) county,” [Master Thesis]. Harran University Graduate School of Natural and Applied Sciences, 2022.
15. G. Töreyen, İ. Özdemir, and T. Kurt, “ArcGIS 10 Desktop Application Document,” Sinan Ofset, Ankara, 2011.
16. A. İ. Karabulut, B. Yazici-Karabulut, and P. Derin, “Landfill siting for municipal solid waste using remote sensing and geographic information system integrated analytic hierarchy process and simple additive weighting methods from the point of view of a fast-growing metropolitan area in GAP area of Turkey,” Environmental Science and Pollution Research, Vol. 29, pp. 4044–4061, 2022. [CrossRef]
17. A. I. Karabulut, S. Benek, and F. Ernst, “Geodesign yöntemi kullanılarak sürdürülebilir kentsel büyüme analizi: Eyyübiye ilçe merkezinden (Şanlıurfa) bir örnek çalışma,” Coğrafya Dergisi, Vol. 42, pp. 251–269, 2021. [Turkish] [CrossRef]
18. O. Rızvanoğlu, S. Kaya, and M. Ulukavak, “Optimization of municipal solid waste collection and transportation routes, through linear programming and geographic information system: a case study from Şanlıurfa, Turkey,” Environmental Monitoring Assessment, Vol. 192(9), 2020. [CrossRef]
19. E. M. Asefa, K. B. Barasa, and D. A. Mengistu, “Application of geographic information system in solid waste management,” IntechOpen, 2022.
20. S. Prabhakaran, K. Sindhu, R. Akash, V. Arunkumar, L. Krishna, and D. Manikandan, “Route optimization for municipal solid waste collection using Arc GIS Network,” Analyst Journal of Advanced Research in Dynamical and Control Systems, Vol. 9(2), 2017. [CrossRef]
21. M. Gümüş, E. H. Özder, E. Hatınoğlu, and A. Uçar, “The effects of route optimization software to the customer satisfaction,” Journal of Turkish Operations Management, Vol. 6(1), pp. 11021112, 2022. [Turkish]
22. B. Ağaçsapan, “Katı atık yönetiminde coğrafi bilgi sistemleri: Eskişehir ili atık aktarma istasyonları için yer seçimi örneklemi,” Anadolu University, Graduate School of Natural and Applied Sciences, Master Thesis, Eskişehir, pp. 192, 2016. [Turkish]