Using Spatial Analysis to Design a Solid Waste Collection System

J. Araiza-Aguilar, M. Rojas-Valencia, H. Nájera-Aguilar, R. F. Gutiérrez-Hernández, C. García-Lara
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Abstract

In this paper, a proposal was presented to improve the MSW collection service in the municipality of Reforma, in Chiapas, Mexico. Specific field work was developed and various spatial analysis techniques were applied in the GIS environment. The application of a multivariate analysis technique (Grouping Analysis) allowed the study area to be clustered into three waste collection sectors with common characteristics, which were the basis for generating three collection route scenarios. Scenario 1 corresponds to the current situation, where 478 waste collection points are served, with an average travel distance of 60.30 km and a collection time of 8.00 h. Scenario 2 was generated through the “maximize coverage” algorithm and vehicle route modeling in ArcGis 10.8. In this scenario, 1220 waste collection points are served, with an average travel distance of 143.21 km and an average collection time of 12.38 h. Scenario 3 was created using the “minimize facilities” algorithm, as well as collection modeling in ArcGis 10.8. Using this algorithm, impedances (distances) were automatically minimized so that 697 waste collection points could be served, with an average travel distance of 100.00 km and an average collection time of 9.66 h. In terms of improvement, scenario 3 gives the best results, because it minimizes distances and average travel times.
利用空间分析设计固体废物收集系统
本文提出了一项改善墨西哥恰帕斯州雷福尔马市 MSW 收集服务的建议。我们开展了具体的实地工作,并在地理信息系统环境中应用了各种空间分析技术。通过应用多元分析技术(分组分析),将研究区域划分为具有共同特征的三个废物收集区,并以此为基础提出了三种收集路线方案。方案 1 与当前情况相对应,即有 478 个垃圾收集点,平均行程为 60.30 千米,收集时间为 8.00 小时。方案 2 是通过 ArcGis 10.8 中的 "最大化覆盖 "算法和车辆路线建模生成的。在该方案中,有 1220 个垃圾收集点,平均行驶距离为 143.21 千米,平均收集时间为 12.38 小时。方案 3 是通过 "最小化设施 "算法以及 ArcGis 10.8 中的收集建模生成的。使用该算法,障碍(距离)被自动最小化,从而可为 697 个废物收集点提供服务,平均路程为 100.00 千米,平均收集时间为 9.66 小时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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