NDLI: The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review

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The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review

Content Provider	MDPI
Author	Patella, Sergio Grazieschi, Gianluca Gatta, Valerio Marcucci, Edoardo Carrese, Stefano
Copyright Year	2020
Description	Widespread adoption of green vehicles in urban logistics may contribute to the alleviation of problems such as environmental pollution, global warming, and oil dependency. However, the current adoption of green vehicles in the last mile logistics is relatively low despite many actions taken by public authorities to overcome the negative externalities of distributing goods in cities. This paper presents a comprehensive literature review on studies investigating the adoption of green vehicles in urban freight transportation, paying specific attention to e-commerce. To shed light on the adoption of green vehicles in city logistics, the paper conducts a systematic review of the empirical literature on the topic. The 159 articles reviewed were classified into the following: (a) Optimization and scheduling (67 papers); (b) policy (55 papers); (c) sustainability (37 papers). Among the 159 articles, a further selection of 17 papers dealing with e-commerce, i.e., studies that highlight the most relevant aspects related to the integration of green vehicles in e-commerce urban logistics, was performed. Our findings indicate that green vehicles are competitive in urban deliveries characterized by frequent stop-and-go movements and low consolidation levels while incentives are still necessary for their adoption. The use of autonomous vehicles results the most promising and challenging solution for last-mile logistics.
Starting Page	6
e-ISSN	20711050
DOI	10.3390/su13010006
Journal	Sustainability
Issue Number	1
Volume Number	13
Language	English
Publisher	MDPI
Publisher Date	2020-12-22
Access Restriction	Open
Subject Keyword	Sustainability Transportation Science and Technology Last Mile Logistics Green Logistics Urban Freight E-commerce Green Vehicles Drones Autonomous Vehicles
Content Type	Text
Resource Type	Article

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