Examining the barriers to electric truck adoption as a system: A Grey-DEMATEL approach

Although the electrification of trucks can offer overall operation cost reduction and contribute to the decarbonization of transport, electric vehicles in the commercial sector are not widely adopted. Existing studies explore the barriers to truck electrification using qualitative or descriptive ana...

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Main Authors: Theodora Konstantinou, Konstantina Gkritza
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Transportation Research Interdisciplinary Perspectives
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590198222002068
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author Theodora Konstantinou
Konstantina Gkritza
author_facet Theodora Konstantinou
Konstantina Gkritza
author_sort Theodora Konstantinou
collection DOAJ
description Although the electrification of trucks can offer overall operation cost reduction and contribute to the decarbonization of transport, electric vehicles in the commercial sector are not widely adopted. Existing studies explore the barriers to truck electrification using qualitative or descriptive analysis. This study proposes that the barriers to electric truck (ET) adoption should be further studied as a system and examines their ranking and interrelationships to enhance policy decision making. Based on a literature review and feedback from experts, ten barrier groups were identified. Data was obtained from a stated preference survey that was distributed online to 74 truck fleet managers/owners in the United States (U.S.). A multicriteria decision-making approach was used that combines the decision-making trial and evaluation laboratory method (DEMATEL) with grey system theory. Additionally, a subgroup analysis was conducted to explore potential differences for ET adopters and non-ET adopters. Among other findings, the results indicate that the business model and partnerships, product availability, and charging time constitute the top cause factors. Addressing these barriers would also lead to or help address the most prominent barriers regarding operational reliability, grid resiliency, and customer acceptance and expectations. The subgroup analysis showed that ET adopters and non-adopters may not be viewed as one homogenous group, since differences were found in the ranking and interrelationships of barriers to ET adoption between these two groups. This study improves the theoretical rational for the barriers and can assist policymakers or other major stakeholders to frame and prioritize strategies for accelerating ET adoption.
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spelling doaj.art-f34984ae35ab4594a072cda428c5f88b2023-03-05T04:25:30ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822023-01-0117100746Examining the barriers to electric truck adoption as a system: A Grey-DEMATEL approachTheodora Konstantinou0Konstantina Gkritza1Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Dr., West Lafayette, IN 47907, United States; Institute of Transportation Studies, University of California, Davis, 1605 Tilia Street, Davis, CA 95616, United States; Corresponding author.Lyles School of Civil Engineering & Agricultural and Biological Engineering, Purdue University, 550 Stadium Mall Dr., West Lafayette, IN 47907, United StatesAlthough the electrification of trucks can offer overall operation cost reduction and contribute to the decarbonization of transport, electric vehicles in the commercial sector are not widely adopted. Existing studies explore the barriers to truck electrification using qualitative or descriptive analysis. This study proposes that the barriers to electric truck (ET) adoption should be further studied as a system and examines their ranking and interrelationships to enhance policy decision making. Based on a literature review and feedback from experts, ten barrier groups were identified. Data was obtained from a stated preference survey that was distributed online to 74 truck fleet managers/owners in the United States (U.S.). A multicriteria decision-making approach was used that combines the decision-making trial and evaluation laboratory method (DEMATEL) with grey system theory. Additionally, a subgroup analysis was conducted to explore potential differences for ET adopters and non-ET adopters. Among other findings, the results indicate that the business model and partnerships, product availability, and charging time constitute the top cause factors. Addressing these barriers would also lead to or help address the most prominent barriers regarding operational reliability, grid resiliency, and customer acceptance and expectations. The subgroup analysis showed that ET adopters and non-adopters may not be viewed as one homogenous group, since differences were found in the ranking and interrelationships of barriers to ET adoption between these two groups. This study improves the theoretical rational for the barriers and can assist policymakers or other major stakeholders to frame and prioritize strategies for accelerating ET adoption.http://www.sciencedirect.com/science/article/pii/S2590198222002068Electric vehiclesTrucksBarriersDecision-making trial and evaluation laboratory (DEMATEL)Grey system theoryStated preference survey
spellingShingle Theodora Konstantinou
Konstantina Gkritza
Examining the barriers to electric truck adoption as a system: A Grey-DEMATEL approach
Transportation Research Interdisciplinary Perspectives
Electric vehicles
Trucks
Barriers
Decision-making trial and evaluation laboratory (DEMATEL)
Grey system theory
Stated preference survey
title Examining the barriers to electric truck adoption as a system: A Grey-DEMATEL approach
title_full Examining the barriers to electric truck adoption as a system: A Grey-DEMATEL approach
title_fullStr Examining the barriers to electric truck adoption as a system: A Grey-DEMATEL approach
title_full_unstemmed Examining the barriers to electric truck adoption as a system: A Grey-DEMATEL approach
title_short Examining the barriers to electric truck adoption as a system: A Grey-DEMATEL approach
title_sort examining the barriers to electric truck adoption as a system a grey dematel approach
topic Electric vehicles
Trucks
Barriers
Decision-making trial and evaluation laboratory (DEMATEL)
Grey system theory
Stated preference survey
url http://www.sciencedirect.com/science/article/pii/S2590198222002068
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