Carbon Emission Reduction Strategies in Logistics Transportation: A Case Study of Truck Fleet Route Optimization using the Vehicle Routing Problem in Denpasar City
DOI:
https://doi.org/10.52920/jttl.v6i2.502Keywords:
carbon emission, route optimization, VRPAbstract
Efficient logistics distribution is a key factor in strengthening business competitiveness, particularly in urban areas such as Denpasar, Bali, which face congestion and infrastructure limitations. This study aims to optimize logistics distribution routes by applying the Vehicle Routing Problem method supported by a Geographic Information System. The study evaluates strategies to reduce carbon emissions in Denpasar’s logistics operations through route optimization using the Vehicle Routing Problem approach integrated with Geographic Information System tools. The data include existing routes of PT X, vehicle characteristics, fuel consumption, travel distance, and route elevation. Carbon emissions are calculated using a diesel emission factor of 2.7 kilograms of CO? per liter. The analysis uses ORS Tools in QGIS to generate optimal routes that consider distance and elevation gain. The results indicate a strong influence of topography on fuel consumption. The Ubud route shows substantial elevation gain, which increases energy demand and emissions. Route optimization reduces emissions by 11.61 percent on the Ubud to Ngurah Rai route and by 8.97 percent on the Mengwi to Ngurah Rai route. These findings highlight the importance of terrain based route modeling to improve logistics distribution efficiency and reduce carbon emissions.
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