COPE-SMARTER – A decision support system for analysing the challenges, opportunities and policy initiatives: A case study of electric commercial vehicles market diffusion in Denmark

Abstract

Stakeholder's strategies in encouraging wide-scale market penetration depend on their perceptions. This study focuses on perceptions of Danish practitioners in policy-making organizations regarding the perceived challenges, opportunities and policy measures for the majority-market adoption of electric commercial vehicles (ECVs) in commercial sector in Denmark. We propose a new four-step expert-based technique, named COPE-SMARTER, for evaluating the market diffusion of environmental friendly technologies by combining a private case of SWOT analysis and Multi-criteria decision analysis (MCDA) methods. We focus on the perceptions regarding: (i) the potential promotional strength of motivators for ECV market penetration, (ii) the severity of the technological, financial, physical and operational challenges,

Adoption of alternative fuel vehicle fleets – A theoretical framework of barriers and enablers

“…Government regulation includes but is not limited to policy, legislation and monetary and nonmonetary incentives. Examples of government incentives for AFVs include low registration fees and subsidies (Barfod et al, 2016), low emission zones, and highway toll exemptions . Despite the widely documented positive and significant correlation between government monetary and non-monetary incentives and adoption, the AFV literature presents conflicting findings with regards to the role of government incentives.…”

Multi-Criteria Analysis of Electric Vans for City Logistics

“…The authors verified their approach in electric commercial vehicles market in Denmark [74]. Domingues et al successfully applied Electre Tri method to the Life-Cycle Assessment of six different powertrains vehicles [75].…”

Suitability of commercial transport for a shift to electric mobility with Denmark and Germany as use cases

“…(Fetene et al, 2015), topography of the area and transported weight (number of passengers, weight of goods etc., size of car). By using the energy consumption model developed by Fetene et al (2015) on GPS tracking of conventional vehicles, both passenger cars and vans, driving during summer and winter periods the average driving range is derived in a Danish environment (Barfod, Kaplan, Frenzel, & Klauenberg, 2016). The resulting average driving range is 158 km during a summer period and 115 km during a winter period for passenger cars like Nissan Leaf, E-Golf and Mercedes B, which have an official driving range of 200 km.…”