Xiao Chu , Shuiwang Chen , Kai Wang , Lingxiao Wu , Gangyan Xu
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引用次数: 0
Abstract
Drones have emerged as promising transportation tools in the urban logistics industry, particularly for short-distance transportation, such as last-mile delivery and food delivery. With advancements in coverage range and payload capacity, medium drones are poised to open up a medium-range urban logistics market known as intra-city express service (ICES). This study aims to examine the benefits of deploying drones into ICES by comparing the costs and efficiency of current truck-based ICES with four potential drone-based modes: station-to-station (S-S), vertiport-to-vertiport (V-V), station-to-hub-to-station (S-H-S, with hub denoting distribution center), and vertiport-to-hub-to-vertiport (V-H-V). Based on the dataset from a courier in China, a thorough examination of the cost- and time-saving advantages associated with drone-based modes is conducted. The results demonstrate the promising potential of deploying drones in the ICES industry to save costs and enhance efficiency, but these benefits are highly dependent on the operational mode of drones. Among the proposed modes, none emerges as a dominant option across both metrics. Nevertheless, the V-V and V-H-V stand out as non-dominant modes, with V-V offering the highest time efficiency and V-H-V proving to be the most cost-efficient. Vertiports and distribution centers are crucial facilities for achieving cost reduction as they facilitate parcel consolidation. These facilities aggregate demands and strong the flow rate However, distribution centers may not necessarily enhance efficiency since they can introduce additional waiting time and detours. Overall, the managerial insights and policy implications proposed in this study demonstrate significant potential for the utilization of drones in intra-city express service.
期刊介绍:
Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.