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

Year 2023, Volume: 6 Issue: 4, 332 - 339, 31.12.2023

Benan Yazıcı Karabulut , Abdullah İzzeddin Karabulut , Perihan Derin , Mehmet İrfan Yeşilnacar , Gülistan Banu Börekçi

https://doi.org/10.35208/ert.1244755

Cited By: 1

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

Supporting Institution

Harran University

Project Number

21233

Thanks

This study was financially supported by Harran University Scientific Projects Research Coordinator (HUBAP) under grant no. 21233.

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