A methodology to evaluate the competitiveness of electric delivery trucks
Brian A. Davis and
Miguel A. Figliozzi
Transportation Research Part E: Logistics and Transportation Review, 2013, vol. 49, issue 1, 8-23
Abstract:
This paper examines the competitiveness of the latest generation of electric delivery trucks. A new model that integrates routing constraints, speed profiles, energy consumption, and vehicle ownership costs is developed. The model is applied to the study the competitiveness of three commercial vehicles: a widely available conventional diesel truck and two brands of electric trucks. Scenarios and breakeven points are calculated and analyzed for a large number parameter combination. The results show that route feasibility, minimum fleet size, distance traveled, battery life, purchase costs, and planning horizon are among the most significant factors affecting commercial electric vehicle competitiveness.
Keywords: Urban deliveries; Commercial electric vehicles; Logistical constraints; Real-world speed profiles (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (63)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1366554512000658
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:49:y:2013:i:1:p:8-23
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/bibliographic
http://www.elsevier. ... 600244/bibliographic
DOI: 10.1016/j.tre.2012.07.003
Access Statistics for this article
Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley
More articles in Transportation Research Part E: Logistics and Transportation Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().