TY - JOUR
T1 - Optimization of fuel consumption for municipal solid waste collection in Al Ain city, UAE
AU - Maraqa, M. A.
AU - Swar Aldahab, E. Z.
AU - Ghanma, M.
AU - Al Kaabi, S. K.
N1 - Funding Information:
This project was funded by the UAE University under grant 21N136. The authors are grateful to the CWM-AD for providing necessary information and facilitating the collection of field data.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/7/4
Y1 - 2018/7/4
N2 - 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.
AB - 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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U2 - 10.1088/1757-899X/383/1/012026
DO - 10.1088/1757-899X/383/1/012026
M3 - Conference article
AN - SCOPUS:85050475503
SN - 1757-8981
VL - 383
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 1
M1 - 012026
T2 - 2018 International Joint Conference on Materials Science and Mechanical Engineering, CMSME 2018
Y2 - 24 February 2018 through 26 February 2018
ER -