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| Author (s) | Focus | Approach / Outcome |
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| Atta, 2015 | Impact of security precautions on municipal solid waste collection | Spatial video camera employed to capture field data used with ArcGIS Network analyst for the optimization of MSW collection |
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| Bhambulkar and Khedikar, 2011 | Municipal solid waste collection route optimization | Route optimization using network analyst extension which achieved cost savings of 14% |
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| By-Achi et al., 2012 | Disposal sites and transport route selection | Selects suitable disposal sites and optimizes routes using network analysis in GIS environment |
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| Jovičić et al., 2010 | Route optimization to increase energy efficiency and reduce fuel consumption | Uses ArcGIS software to save 2700 km per year and total savings of 20% in costs and associated emissions |
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| Kallel et al., 2016 | Using GIS-based tools for the optimization of solid waste collection and transport | Develops optimized scenarios using ArcGIS Network Analyst tool in order to improve the efficiency of waste collection and transportation |
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| Kanchanabhan et al., 2010 | Optimum municipal solid waste collection | Proposes design and develops an appropriate storage and collection plan using ArcGIS Network Analyst and vehicle tracking |
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| Kinobe et al., 2015 | Optimization of waste collection and disposal | Uses GIS tools to optimize travel distances, trips and collection time, which yields large savings and keeps the environment clean |
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| Kyessi and Mwakalinga, 2009 | GIS application in coordinating solid waste collection | Examines and brings knowledge on how GIS can assist in increasing information and efficiency of solid waste collection system in an urban settlement |
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| O’Connor, 2013 | Solid waste collection vehicle route optimization | Optimizes using network analyst extension to determine optimal routes for small collection groups and outlines the workflow and best practices |
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| Ristić et al., 2015 | Methodology for route optimization for solid waste collection and transportation | Uses 3D road network, calculates fuel consumption, and optimizes waste collection and transportation which saves up to 60 - 80% of the costs incurred |
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| Siddam et al., 2012 | Route optimization for solid waste management using geo-informatics | Optimizes collection using Network Analyst extension and saves 50% expenditure on solid waste management |
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| Tavares et al., 2009 | Optimization of municipal solid waste collection routes | Uses 3D modeling in GIS environment to optimize collection for minimum fuel consumption (12% fuel reduction) |
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| Velumani, 2013 | GIS based optimal collection routing model for municipal solid waste | Develops an appropriate storage and collection plan based on routing model using GIS which yields distance savings of 46% and running and maintenance expenditure of 86.7% |
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| Zsigraiova et al., 2013 | Operation costs and pollutant emissions reduction | Optimizes collection routes using GIS to define new collection schedule with reductions of 62% for the total spent time, 43% for the fuel consumption and 40% for emitted pollutants and total cost savings of 57% per year |
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