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⁻¹ 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，转移和运输是当地市政当局最具挑战性的任务之一，占市政支出的很大一部分。适当计划的中转站（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，以调查城市固体废弃物TS的最佳选址和经济影响。进行了基于地理信息系统的土地适宜性分析，以识别潜在的TS站点，然后进行情景分析，以通过车辆路径问题建模为各种收集车辆的容量确定最佳的TS站点和废物收集路线。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，以服务三个地区的市政当局。在研究区域中添加TS可以将收集时间和班次减少9％。同样，大型车辆的收集分别将收集时间和班次减少了25％和17％。但是，系统的单位成本从17.52美元/公吨增加到18.60美元/公吨由于TS的额外费用，加上TS会浪费⁻¹。结果表明，由于收集车队少（八辆收集车），垃圾填埋场靠近废物密度高的地区和地区级收集，在研究区域添加TS在经济上不可行。另一方面，添加TS可降低燃油消耗，从而有助于减少燃油引起的空气污染。