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Solidarity Behaviour for Optimizing the Waste Selective Collection

机译:优化废物选择性收集的团结行为

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The problem of managing selective collection of waste using containers inside historic city centres can be performed in three sequential phases: first, locating containers along the streets; then, determining the minimum fleet size required to perform all collecting services; and finally, identifying the optimal collection routes. Obviously, the result of the first phase highly influences the procedure since this will determine the decisions to be taken for the subsequent phases. This paper is focused on the first phase. Facility-customer distances, the size of container groups and the cost of installing those containers in specific sites along the streets are parameters to be considered when designing the collecting system. Additionally, we assume that customers are willing to have a solidarity behaviour, which consists of using a container assigned to them within a pre-established proximity radius, although the assigned container may not be necessarily the closest to their residence. For this scenario, a more efficient deployment of containers for selective collection of urban solid waste can be obtained. To illustrate the performance of the developed methodology, a computational experience has been carried out on a network with randomized data based on a zone belonging to city of Seville (Spain).
机译:使用历史城市中心内使用容器管理选择性废物的问题可以在三个连续阶段进行:首先,沿着街道定位容器;然后,确定执行所有收集服务所需的最小舰队尺寸;最后,识别最佳收集路线。显然,第一阶段的结果高度影响程序,因为这将决定后续阶段的决定。本文集中在第一阶段。设施 - 客户距离,容器组的大小和在街道上的特定站点安装这些容器的成本是在设计收集系统时要考虑的参数。此外,我们假设客户愿意具有团结行为,该行为包括使用分配给预定的接近半径的容器,尽管分配的容器可能不一定是最接近其居住的。对于这种情况,可以获得更有效地部署用于选择性地收集城市固体废物。为了说明开发方法的性能,已经在网络上进行了计算经验,该网络具有基于属于塞维利亚市(西班牙)的区域的随机数据。

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