Department of Civil Engineering, Faculty of Engineering and Architecture, İzmir Katip Celebi University, İzmir, Turkey.
Department of Environmental Engineering, Faculty of Engineering and Architecture, İzmir Katip Celebi University, İzmir, Turkey.
Waste Manag Res. 2021 Jan;39(1):185-196. doi: 10.1177/0734242X20966643. Epub 2020 Oct 24.
Collection, transfer and transport of municipal solid waste (MSW) is one of the most challenging tasks of local municipalities and occupies a significant portion of the municipal expenses. Appropriately planned transfer stations (TSs) can increase system performance and reduce costs. Therefore, this study aims to develop a spatial modelling approach for investigating the optimum siting and economic impacts of MSW TSs. A geographic information system-based land suitability analysis was conducted to identify potential TS sites followed by a scenario analysis to determine optimum TS sites and waste collection routes for various collection vehicle capacities through vehicle routing problem modelling. The approach was implemented in the southeastern region of İzmir where a new landfill is to be built to serve three district municipalities. The addition of a TS in the study area reduced the collection time and number of shifts by 9%. Similarly, collection with large vehicles decreased the collection time and number of shifts by 25% and 17%, respectively. However, the unit cost of the system increased from 17.52 to 18.60 US$ metric tonnes waste with the TS addition because of the additional costs of the TS. The results indicated that TS addition is not economically feasible in the study area because of the small collection vehicle fleet (eight collection vehicles), proximity of landfill to areas with high waste density and district level collection. On the other hand, TS addition resulted in lower fuel consumption which may help reduce fuel-induced air pollution.
城市固体废物(MSW)的收集、转移和运输是地方市政当局最具挑战性的任务之一,占据了市政支出的很大一部分。规划合理的转运站(TS)可以提高系统性能并降低成本。因此,本研究旨在开发一种空间建模方法,以调查 MSW TS 的最佳选址和经济影响。本研究通过基于地理信息系统的土地适宜性分析来确定潜在的 TS 站点,然后通过情景分析来确定最佳的 TS 站点和不同收集车辆容量的废物收集路线,通过车辆路径问题建模来确定。该方法在伊兹密尔东南部地区实施,该地区将建造一个新的垃圾填埋场,为三个区市提供服务。研究区域增加一个 TS 可将收集时间和班次数减少 9%。同样,使用大型车辆进行收集可分别将收集时间和班次数减少 25%和 17%。然而,由于 TS 的额外成本,系统的单位成本从 17.52 美元/吨废物增加到 18.60 美元/吨废物。结果表明,由于收集车辆车队规模较小(8 辆收集车辆)、垃圾填埋场靠近废物密度高的地区以及区一级的收集,TS 的增加在研究区域在经济上不可行。另一方面,TS 的增加导致燃料消耗降低,这可能有助于减少燃料引起的空气污染。