@article{อินทร์จอหอ_ไชยคราม_2019, place={Pathumthani, Thailand}, title={การวิเคราะห์โครงข่ายด้วยระบบสารสนเทศภูมิศาสตร์เพื่อหาแบบจำลองที่ตั้งที่เหมาะสมสำหรับจุดรองรับขยะมูลฝอยในพื้นที่เทศบาลนครนครราชสีมา}, volume={8}, url={https://li01.tci-thaijo.org/index.php/tjst/article/view/186037}, DOI={10.14456/tjst.2019.32}, abstractNote={<p><strong>Abstract</strong></p> <p>As an analysis of the GIS-based network to mark a model of suitable locations for waste receptacle spots in the city-municipal of Nakhon-Nakhon Ratchasima, this study aimed to investigate the existing routes of garbage trucks to the waste receptacles for population’s accessibilities, in the city-municipal of Nakhon-Nakhon Ratchasima. There were 2 survey aspects in the study: areas, spot-collected, and routes of the waste receptacles via the global positioning system (GPS). The two routes of the survey were route no. 125 and No. 84. According to the network analysis towards the theory of base route analysis, there was a total of 288 bins in route No. 125. It took 14,578 kilometers, 5 hours 40 minutes, with the cost of 1,800-2,400 bath/day, along the route of garbage trucks. On route No. 84, it took 28,432 kilometers, 6 hours 40 minutes, with the cost of 2,100-2,400 baht/day. Although both routes spent quite high costs, the waste-collecting service had still been insufficient for the population’s accessibility in the areas. This study, subsequently, investigated, analyzed, and suggested a model of the locations and allocations for the new waste receptacles by marking appropriate and efficient spots toward the maximize attendance function from the former spots. The findings revealed that there were 257 bins, less than the former ones, which could cover the whole areas. Also, it took less distance, (approximately 1 kilometer, 1 hours 26 minutes, in each route), with the lower cost (111,600 baht/year). </p> <p><strong>Keywords:</strong> network analysis; geography information system (GIS); model; waste; municipal of Nakhon-Nakhon Ratchasima</p>}, number={3}, journal={Thai Journal of Science and Technology}, author={อินทร์จอหอ อุทุมพร and ไชยคราม ธัญญรัตน์}, year={2019}, month={Apr.}, pages={226–237} }