ISSN: 2636-8498
Optimal route selection using network analysis in terms of time, cost and fuel savings: The case of İskenderun, Türkiye
1Department of Environmental Engineering, Harran University, Şanlıurfa, Türkiye
2Graduate School of Natural and Applied Sciences, Harran University, Remote Sensing and Geographic Information Systems, Şanlıurfa, Türkiye
3Graduate School of Natural and Applied Sciences, Harran University, Şanlıurfa, Türkiye
Environmental Research & Technology 2023; 4(6): 332-339 DOI: 10.35208/ert.1244755
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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