Real time Learning with Light Electric Freight vehicles for urban freight distribution

Title

Real time Learning with Light Electric Freight vehicles for urban freight distribution: A living lab approach

 Author

van Duin, Ron (TU Delft Transport and Logistics; Rotterdam University of Applied Sciences) ORCID 0000-0001-8099-5615
Moolenburgh, Ewoud (Rotterdam University of Applied Sciences)
van den Band, Nick (Rotterdam University of Applied Sciences)

Date

2022

 Abstract

Due to population growth in cities the demand for the transport is rising and
therefore a growth of transport movements by trucks and vans can be observed.
These movements have a negative effect on air quality, liveability, noise and safety. LEFVs (Light Electric Freight Vehicles) can be a good solution for last mile deliveries. Today one can observe a lot of enthusiasm for these types of vehicles. At the same time also the number of LEFV suppliers is rapidly growing. However, many companies are still reluctant to initiate their business with LEFVs. To overcome this problem new knowledge needs to be developed how to use LEFVs in city logistics concepts. This paper presents the real-life experiences with a living lab for urban freight distribution based on LEFVs.

 Subject

City Logistics
Light Electric Freight Vehicles
Living Lab

 To reference this document use:

http://resolver.tudelft.nl/uuid:d85848b9-7374-42e0-90d3-447983533ff4

 ISSN

2486-4600

 Source

Logitiek+, tijdschrift voor toegepaste logistiek (12), 38-55

 Part of collection

Institutional Repository

 Document type

journal article

 Rights

© 2022 Ron van Duin, Ewoud Moolenburgh, Nick van den Band
Files
PDF Real_time_Learning_with_L ... k_2022.pdf 427.38 KB
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