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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/12830

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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