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.
|Journal||IOP Conference Series: Materials Science and Engineering|
|Publication status||Published - Jul 4 2018|
|Event||2018 International Joint Conference on Materials Science and Mechanical Engineering, CMSME 2018 - Bangkok, Thailand|
Duration: Feb 24 2018 → Feb 26 2018
ASJC Scopus subject areas
- Materials Science(all)