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World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
Open AccessArticle

Modeling the Demand for Renting Electric Vehicles in Canada: A Stated Preference Choice Approach

1
University of Windsor, 401 Sunset Ave, Windsor, ON, N9B 3P4, Canada
2
Cross Border Institute, University of Windsor, 401 Sunset Ave, Windsor, ON, N9B 3P4, Canada
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2016, 8(1), 225-236; https://doi.org/10.3390/wevj8010225
Published: 25 March 2016
PDF [497 KB, uploaded 14 May 2018]

Abstract

The introduction of electric vehicles (EV) is considered by many as an effective solution to alleviate petroleum dependency; however, the number of EVs in the current market remains scarce despite of its potential benefits. Many studies have been conducted to identify and assess various factors that significantly affect EV ownership. In contrary, little has been done regarding the potential EV adoption for commercial fleets. This paper addresses this limitation by focusing on rental vehicles. It is found that rental cost, vehicle attributes (e.g. maximum range and recharging time), and attitudinal statements have significant effect on EV rental choice.
Keywords: Canada; commercial; data acquisition; fleet; modeling Canada; commercial; data acquisition; fleet; modeling
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Dimatulac, T.; Maoh, H. Modeling the Demand for Renting Electric Vehicles in Canada: A Stated Preference Choice Approach. World Electr. Veh. J. 2016, 8, 225-236.

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