Q-Commerce vs. E-Commerce in Last-Mile Delivery: A Data-Driven Comparison of Emissions, Costs, and Efficiency – Evidence from Simulated Scenarios

Abstract Consumers’ demand for online shopping has increased manifold since the post-COVID-19 era. And, the rapid growth of quick-commerce (Q-commerce) has revolutionized last-mile delivery with the promise of ultra-fast service, but its environmental and operational impacts are still unexplored. This study uses a data-driven simulation to compare Q-commerce and traditional E-commerce in terms of emissions, operational costs, and delivery efficiency. The finding reveals that Q-commerce, with its short delivery distances and Electric-Vehicles reliance, is consistent with the 2015 Paris Agreement goal and SDGs (11 & 13) of global warming by reducing transport-sector emissions. By analysing random iterations, the study evaluates key metrics such as carbon emissions, energy/fuel consumption, Operational cost, and delivery time on Q-commerce and E-commerce using Electric-Vehicles (EVs) (EV vans, E-Bike, and scooters) and International Combustion-Vehicles (CVs) (CV-Vans, CV-Bike, and CV-Cars). The findings of this study reveal that Q-commerce, with its shorter delivery distances and reliance on EVs, produces significantly less greenhouse gases (GHGs) than E-commerce. Additionally, Q-commerce exhibits cost advantages due to lower energy costs. Although last-mile delivery times are longer due to the lower average speed of EVs, the analysis of the data assesses the dependence of shorter delivery distances on faster last-mile deliveries. Prospective comparisons further quantify the potential for Q-commerce to outperform E-commerce in terms of sustainability and cost-efficiency. The study emphasizes the trade-offs between speed, cost, and environmental impact, suggesting that EV adoption and closer delivery distances can enhance the sustainability of last-mile logistics. These insights provide policymakers and businesses with effective strategies to balance operational efficiency with environmental responsibility in the growing landscape of fast delivery services.

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Publication Details

Journal
Logistics Supply Chain Sustainability and Global Challenges
Published
2026-05-29
DOI
https://doi.org/10.2478/jlst-2026-0004
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
0.00
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article

Q-Commerce vs. E-Commerce in Last-Mile Delivery: A Data-Driven Comparison of Emissions, Costs, and Efficiency – Evidence from Simulated Scenarios

Manas Sarkar
Logistics Supply Chain Sustainability and Global Challenges
Urban and Freight Transport Logistics
article

Q-Commerce vs. E-Commerce in Last-Mile Delivery: A Data-Driven Comparison of Emissions, Costs, and Efficiency – Evidence from Simulated Scenarios

Manas Sarkar
article en

Abstract

Abstract Consumers’ demand for online shopping has increased manifold since the post-COVID-19 era. And, the rapid growth of quick-commerce (Q-commerce) has revolutionized last-mile delivery with the promise of ultra-fast service, but its environmental and operational impacts are still unexplored. This study uses a data-driven simulation to compare Q-commerce and traditional E-commerce in terms of emissions, operational costs, and delivery efficiency. The finding reveals that Q-commerce, with its short delivery distances and Electric-Vehicles reliance, is consistent with the 2015 Paris Agreement goal and SDGs (11 & 13) of global warming by reducing transport-sector emissions. By analysing random iterations, the study evaluates key metrics such as carbon emissions, energy/fuel consumption, Operational cost, and delivery time on Q-commerce and E-commerce using Electric-Vehicles (EVs) (EV vans, E-Bike, and scooters) and International Combustion-Vehicles (CVs) (CV-Vans, CV-Bike, and CV-Cars). The findings of this study reveal that Q-commerce, with its shorter delivery distances and reliance on EVs, produces significantly less greenhouse gases (GHGs) than E-commerce. Additionally, Q-commerce exhibits cost advantages due to lower energy costs. Although last-mile delivery times are longer due to the lower average speed of EVs, the analysis of the data assesses the dependence of shorter delivery distances on faster last-mile deliveries. Prospective comparisons further quantify the potential for Q-commerce to outperform E-commerce in terms of sustainability and cost-efficiency. The study emphasizes the trade-offs between speed, cost, and environmental impact, suggesting that EV adoption and closer delivery distances can enhance the sustainability of last-mile logistics. These insights provide policymakers and businesses with effective strategies to balance operational efficiency with environmental responsibility in the growing landscape of fast delivery services.

Logistics Supply Chain Sustainability and Global Challenges
Åbo Akademi University (FI)
Responsible consumption and production
Openalex Percentile: Top 8%
Urban and Freight Transport Logistics
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