title: Fast methodology to design the optimal collection point locations and number of waste bins: A case study.
abstract: 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.
authors.affiliation: Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia goran.boskovic@kg.ac.rs.
authors.forename: Goran
authors.initials: G
authors.lastname: Boskovic
authors.affiliation: Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia.
authors.forename: Nebojsa
authors.initials: N
authors.lastname: Jovicic
mesh_terms: D002947:Cities; D040362:Geographic Information Systems; D008962:Models, Theoretical; D012037:Refuse Disposal / Q000191:economics / Q000379:methods*; D055771:Serbia; D014186:Transportation / Q000191:economics; D018505:Waste Management / Q000191:economics
keywords: Collection point locations; GIS; energy efficiency; municipal waste; waste collection