การเพิ่มประสิทธิภาพการจัดเก็บและขนส่งขยะมูลฝอยในเขตเทศบาลนครสงขลาด้วยระบบสารสนเทศภูมิศาสตร์
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Abstract
This study aims to apply municipal solid waste collection route data to develop a route optimization model that passes through waste bin locations within the Songkhla Municipality area. The route analysis was conducted using Geographic Information System (GIS) technology, employing Dijkstra’s Algorithm to determine the most efficient paths. The analysis considered various factors, including traffic direction, distance, travel time, road speed limits, starting and ending points, waste bin locations, road hierarchy, and the number of traffic lanes. The results revealed that the current waste collection system consists of 10 routes, utilizing 10 waste collection vehicles, and covering a total of 599 collection points. When compared with the optimized routes generated from the analysis, the total travel distance was reduced by 23.26%, while travel time decreased by 14.78%. These findings demonstrate the effectiveness of the model in minimizing both distance and time required for waste collection operations. Furthermore, the analytical approach presented in this study can be applied to enhance the efficiency of solid waste collection and transportation in other areas, contributing to improved operational performance and resource optimization.
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References
Chaingam, A., & Chaiyakarm, T. (2020). GIS-Based Network Analysis for Vehicle Routing Problem Management of the Jasmine Rice Transportation Route: A Case Study of Roi Et Province. Thai Journal of Science and Technology, 9(5), 617–629. https://doi.org/10.14456/tjst.2020.66. (in Thai)
Dijkstra, E.W. (1959). A note on two problems in connexion with graphs. Numer. Math. 1, 269–271 (1959). https://doi.org/10.1007/BF01386390.
ESRI. (2016). Algorithms used by the ArcGIS Network Analyst extension. Retrieved August 5, 2023, from ArcGIS for Desktop website: http://desktop.arcgis.com/en/arcmap/10.3/guidebooks/extensions/network-analyst/algorithms-used-by-network-analyst.htm.
Injoho, U., & Chaiyakarm, T. (2019). A GIS-Based Network Analysis for Finding Suitable Locations for Waste Receptacles Spots in the City-Municipal of Nakhon-Nakhon Ratchasima. Thai Journal of Science and Technology, 8(3), 226–237. https://doi.org/10.14456/tjst.2019.32. (in Thai)
Jirakajohnkool, S. (2017). Learning geographic information systems with ArcGIS Desktop 10.5 for Desktop. Bangkok, Thailand: A.P. Graphic Sign & Printing Co., Ltd. (in Thai)
Klawwikarn, P., & Jirakajohnkool, S. (2014). Application of Geographic Information Systems for Service Area Analysis of Emergency Medical Service Centers in Loei Province. Thai Journal of Science and Technology, 3(3). https://doi.org/10.14456/tjst.2014.8. (in Thai)
Prameshwori, T., Wangshimenla, J., Surjit, L. & Ramananda, L. (2021). GIS Based Route Network Analysis for Tourist Places : A Case Study of Greater Imphal. International Journal of Scientific Research in Science and Technology. 233-238. https://doi.org/10.32628/IJSRSET218229.
Vijay, R., A. Gautam, A. Kalamdhad, A. Gupta & S. Devotta (2008). GIS-based locational analysis of collection bins in municipal solid waste management systems. Journal of Environmental Engineering and Science. 7(1), 39–43.