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Fast methodology to design the optimal collection point locations and number of waste bins: A case study

机译:设计最佳收集点位置和垃圾箱数量的快速方法:一个案例研究

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This paper concerns the development of a methodology aimed at determining the optimal number of waste bins as well optimizing the location of collection points. The methodology was based on a geographic information system, which handled different sets of information, such as street directions, spatial location of objects and number of inhabitants, location of waste bins, and radius of their coverage. The study was conducted in a district in the central area of the city of Kragujevac. Due to a lack of information about the existing situation, all necessary data was collected by fieldwork and by using GPS equipment. By using the developed methodology, the results indicated a reduction of 24% in the number of collection points and 33.5% in the number of waste bins, without reducing the quality of the provided services. It has led to cost and time savings for waste collection and environmental benefits. All users of the services were covered within a 75-m radius, and the usage of bins is more efficient. According to the reduction in the number of waste bins, a total amount of €26000 may be achieved. In addition, the time for waste collection was reduced, resulting in a €1700 saving per year in fuel costs, as well as 4.5 tons of emitted CO_2 into the atmosphere.
机译:本文涉及旨在确定最佳垃圾箱数量以及优化收集点位置的方法的开发。该方法基于地理信息系统,该系统处理不同的信息集,例如街道方向,物体的空间位置和居民数量,垃圾箱的位置以及覆盖范围。这项研究是在克拉格耶瓦茨(Kragujevac)市中心地区的一个地区进行的。由于缺乏有关当前情况的信息,所有必要的数据都是通过野外工作和使用GPS设备收集的。通过使用开发的方法,结果表明收集点数量减少了24%,废物箱数量减少了33.5%,而没有降低所提供服务的质量。它为废物收集和环境效益节省了成本和时间。服务的所有用户都被覆盖在75米半径内,并且垃圾箱的使用效率更高。根据废物箱数量的减少,总共可实现26000欧元。此外,减少了收集废物的时间,每年节省了1700欧元的燃料成本,并向大气排放了4.5吨二氧化碳。

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