Efficiency enhancement in waste management through GIS-based route optimization

IF 5.3 Q2 ENGINEERING, ENVIRONMENTAL
Swadhin Das , Ankon Baral , Islam M. Rafizul , Senta Berner
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引用次数: 0

Abstract

Due to rapid urbanization and uncontrolled population growth, solid waste management has become a rising issue in developing nations like Bangladesh. Khulna ranks third among Bangladesh's metropolitan cities. The existing system of Khulna City for transporting municipal solid waste lacks route planning and depends exclusively on the driver's expertise. Hence, this study aims to minimize the length of the present travel paths and assess the advantages of using optimized routes. Secondary datasets like a list of vehicles, financial information, and a list of secondary transfer stations have been collected from the municipality. A field survey was conducted to capture the coordinates of secondary transfer stations. Multiple GPS devices have been installed for monitoring the current paths, stops, and travel time of 31 waste collector vehicles for 10 months. A network database has been prepared and modified by integrating driver's perceptions and field inspection. Network analysis of ArcGIS Pro has been used for finding the optimized routes. The optimized route minimizes the travel distance by 9.40%. By following the optimized routes, about 11.6% of fuel costs can be reduced. This research has the potential to make a significant contribution to the waste management of Khulna City and beyond.

通过基于地理信息系统的路线优化提高废物管理效率
由于快速城市化和人口无节制增长,固体废物管理已成为孟加拉国等发展中国家日益突出的问题。库尔纳在孟加拉国大城市中排名第三。库尔纳市现有的城市固体废物运输系统缺乏路线规划,完全依赖司机的专业知识。因此,本研究旨在最大限度地减少现有运输路径的长度,并评估使用优化路线的优势。我们从市政府收集了车辆清单、财务信息和二级转运站清单等二手数据集。还进行了实地调查,以获取二级转运站的坐标。安装了多个 GPS 设备,对 31 辆垃圾收集车的当前路径、停靠站点和行驶时间进行了为期 10 个月的监测。通过整合司机的看法和实地考察,编制并修改了网络数据库。使用 ArcGIS Pro 进行网络分析,找出优化路线。优化后的路线可将行驶距离减少 9.40%。按照优化路线行驶,可减少约 11.6% 的燃料成本。这项研究有望为库尔纳市及其他地区的废物管理做出重大贡献。
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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来源期刊
Cleaner Engineering and Technology
Cleaner Engineering and Technology Engineering-Engineering (miscellaneous)
CiteScore
9.80
自引率
0.00%
发文量
218
审稿时长
21 weeks
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