Boskovic Goran, Jovicic Nebojsa
Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia.
Waste Manag Res. 2015 Dec;33(12):1094-102. doi: 10.1177/0734242X15607426. Epub 2015 Oct 14.
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 €26,000 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 CO2 into the atmosphere.
本文关注一种方法的开发，该方法旨在确定垃圾桶的最佳数量并优化收集点的位置。该方法基于地理信息系统，该系统处理不同的信息集，如街道方向、物体的空间位置和居民数量、垃圾桶的位置及其覆盖半径。研究在克拉古耶瓦茨市中部地区的一个区进行。由于缺乏关于现有情况的信息，所有必要数据均通过实地调查和使用GPS设备收集。通过使用所开发的方法，结果表明收集点数量减少了24%，垃圾桶数量减少了33.5%，同时并未降低所提供服务的质量。这带来了垃圾收集的成本和时间节省以及环境效益。所有服务用户都在75米半径范围内得到覆盖，并且垃圾桶的使用更加高效。根据垃圾桶数量的减少，可实现总计26,000欧元的节省。此外，垃圾收集时间减少，每年节省1700欧元的燃料成本，以及减少向大气排放4.5吨二氧化碳。
