会议论文详细信息
2018 International Joint Conference on Materials Science and Mechanical Engineering
Optimization of fuel consumption for municipal solid waste collection in Al Ain city, UAE
Maraqa, M.A.^1,2 ; Swar Aldahab, E.Z.^3 ; Ghanma, M.^1 ; Al Kaabi, S.K.^4
Civil and Environmental Engineering Department, UAE University, Al Ain, United Arab Emirates^1
Roadway, Transportation and Traffic Safety Research Center, UAE University, Al Ain, United Arab Emirates^2
Environmental Science Mater Program, UAE University, Al Ain, United Arab Emirates^3
Deputy General Manager, Center of Waste Management, Abu Dhabi, United Arab Emirates^4
关键词: Data collection;    Municipal solid waste (MSW);    Optimal number;    Optimum conditions;    Population densities;    Route optimization;    Solid waste collection;    Waste collection;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/383/1/012026/pdf
DOI  :  10.1088/1757-899X/383/1/012026
来源: IOP
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【 摘 要 】

Fuel consumed in collecting municipal solid waste (MSW) accounts for a major portion of the cost of waste management. In this study, several cases were developed using the ArcGIS Network Analyst to establish optimum conditions for MSW collection in Um Gafa district in Al Ain city, UAE. A GIS model was created based on data collection and GPS tracking of collection route and bins position in the area. Results show that current waste collection at Um Gafa does not strictly follow U-turn and curb approach policies. When route optimization is applied for similar conditions, a saving of 14.3% in fuel consumption is gained. Two models were tested for optimal number and location of bins. One model was based on a 40-m service zone while the other was based on population density and land use. By adopting model 1, the number of bins was reduced by 12%, while in model 2 the number of bins was reduced by 20%. Model 2 showed higher superiority, compared to model 1, in terms of fuel consumption.

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