2014
DOI: 10.1016/j.sbspro.2014.01.1483
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Cost Modelling and Simulation of Last-mile Characteristics in an Innovative B2C Supply Chain Environment with Implications on Urban Areas and Cities

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Cited by 203 publications
(146 citation statements)
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“…The authors identified the higher speed on highways and the relatively low load capacity of cargo bikes as major barriers to the implementation of a B2C bike distribution system. In contrast to that, a cost calculation based on data from Belgian companies showed a decrease in overall costs by up to 45% [34].…”
Section: Urban Logistics and E-commerce Deliveriesmentioning
confidence: 68%
“…The authors identified the higher speed on highways and the relatively low load capacity of cargo bikes as major barriers to the implementation of a B2C bike distribution system. In contrast to that, a cost calculation based on data from Belgian companies showed a decrease in overall costs by up to 45% [34].…”
Section: Urban Logistics and E-commerce Deliveriesmentioning
confidence: 68%
“…To the best of our knowledge, a holistic vision of such a complex and hyper-connected system that integrates an actors' behaviour analysis, economic and managerial considerations into simulation and optimisation tools, has little attention in the literature. In particular, works by [3,10] represent first attempts to overcome this lack. The authors in [10] developed a last-mile typology and an instrument to simulate the total last-mile costs.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the emphasis is mainly laid on technology aspects, with limited attention on value creation [28]. An exception is the work by Gevaers, Van de Voorde, and Vanelslander [57], who developed a simulation tool to study the main drivers influencing B2C (Business to Consumer) last mile delivery costs, including consumer service level, the type of delivery, the market density, the type of delivery vehicles, the adoption of ITS. Luong et al [58] surveyed a wide range of economic and pricing models for data collection and communication in an IoT system, mainly focusing on the sensing network.…”
Section: Freight and Public Transitmentioning
confidence: 99%