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Title: | Effect of optimal routing ontravel distance, travel time and fuel consumption of waste collection trucks |
Authors: | Sulemana, Alhassan Donkor, Emmanuel Amponsah Forkuo, Eric Kwabena Oduro-Kwarteng, Sampson |
Keywords: | Solid waste collection Route optimization Geographic information system Fuel consumption Travel distance Travel time |
Issue Date: | Dec-2018 |
Publisher: | Emerald Publishing Limited |
Abstract: | Purpose – The purpose of this paper was to determine the effect of route optimization on travel distance,
travel time and fuel consumption of municipal solid waste (MSW) collection trucks.
Design/methodology/approach – The study modeled the existing waste collection routes in three local
authorities in Ghana and proposed optimal routes using Esri’s ArcGIS Network Analyst Extension. The
system generated optimal distances and times were validated by subjecting collection trucks to the
optimal routes. Paired sample t-test was used to analyze the differences in means of the existing and optimal
outcomes. The collected data were subjected to correlation and uncertainty analyses.
Findings – Results from the study indicated that weekly travel distance reduced by 81.27 km, translating
into saving of 4.79 percent when trucks used the optimal routes. Travel time and fuel consumption reduced by
853.59 min and 145.86 L, making savings of 14.21 and 10.81 percent, respectively. Significant differences
occurred between the means of the existing and optimal routes for travel time and fuel consumption, for each
of the three local authorities.
Research limitations/implications – The study was conducted in Ghana using data collected from three
local authorities.
Practical implications – Significant reduction of MSW collection cost can be achieved by waste
management practitioners through route optimization.
Originality/value – The effect of route optimization on travel distance, travel time and fuel consumption
has been established. Statistical analyses of the existing and optimal outcomes of the three local authorities
have been provided. The findings from this study support the hypothesis that optimal routes reduce
operating cost through savings in travel distance, travel time and fuel consumption. |
Description: | An article published by Emerald Publishing Limited and also available at DOI 10.1108/MEQ-07-2018-0134 |
URI: | http://hdl.handle.net/123456789/12830 |
Appears in Collections: | College of Science
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