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

Konstantinou, Theodora; Gkritza, Konstantina

doi:10.1016/j.trip.2022.100746

Cited by 15 publications

(9 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the total number of vehicles remains insensitive to changes in hurdle rates, and overall fleet composition also shows limited variations across all cases. This aligns with the findings emphasised by Konstantinou and Gkritza 48 , highlighting the importance of government support and incentives to enhance the acceptance of electric vehicles among vehicle buyers.…”

Section: Resultssupporting

confidence: 87%

“…Future research should thoroughly address uncertainties related to upfront costs, aiming to uncover unexpected solutions and ensure a comprehensive understanding of the model’s outcomes. Third, the availability of vehicle models presents a significant barrier to electric trucks 48 . It is crucial to consider the technology readiness and manufacturing readiness of zero-emission trucks for series production, as these factors significantly impact large-scale ZEV adoption.…”

Section: Discussionmentioning

confidence: 99%

“…Unlike traditional Diesel ICEs, BEVs and FCVs take longer to recharge or refuel, leading to reduce fleet productivity 22 . This technological barrier 64 has been recognised as a significant obstacle in adopting electric trucks 48 , 65 . Heavy BEVs, for example, take on average 8 times longer to recharge than conventional ICE vehicles take to refuel (see the full assumptions in Table 1 ).…”

Section: Methodology and Datamentioning

confidence: 99%

See 2 more Smart Citations

Decarbonising road freight transport: The role of zero-emission trucks and intangible costs

Aryanpur,

Rogan

2024

Sci Rep

View full text Add to dashboard Cite

The road freight sector faces significant challenges in decarbonisation, driven by high energy demand and limited availability of low-emission fuels and commercialised zero-emission vehicles. This study investigates intangible costs associated with advanced electric and hydrogen-powered trucks, including recharging/refuelling time, cargo capacity limitations, and buyer reluctance towards emerging technologies. Utilising a comprehensive whole-systems modelling approach considering low- and zero-emission fuels, inter-sectoral dynamics, and the carbon budget, we explore cost-optimal decarbonisation pathways for heavy, medium, and light trucks. Scenario and sensitivity analyses reveal the following insights: (1) Electric trucks dominate the market under mitigation pathways across all weight categories. However, the inclusion of intangible costs triggers a shift, leading to the emergence of hydrogen fuel cell vehicles for heavy trucks, while battery electric vehicles are preferred for medium and small trucks. (2) Prioritising heavy truck decarbonisation and taking early action are crucial to avoid carbon lock-in effects. (3) Considering limited decarbonisation options, where electric and hydrogen-fuelled trucks are pivotal, this research highlights the significance of policy instruments targeting operational expenditures over conventional purchase price incentives. Such policies offer dual benefits by supporting truck owners and directing incentives more precisely towards achieving measurable emission reductions.

show abstract

Section: Resultssupporting

confidence: 87%

Section: Discussionmentioning

confidence: 99%

Section: Methodology and Datamentioning

confidence: 99%

See 1 more Smart Citation

Decarbonising road freight transport: The role of zero-emission trucks and intangible costs

Aryanpur,

Rogan

2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Nouni et al (2021) studied the potential of alternative fuels for India's RFT sector and discussed the current state, future directions, and challenges in the transition to cleaner fuels. Guo et al (2021), Wild (2021), Konstantinou & Gkritza (2023) and Ghisolfi et al (2022b) shed light on the limitations of current models in addressing the complexities of RFT decarbonization in a comprehensive way. Yan et al (2021) developed a freight transport model to simulate transport demand, energy consumption and emissions in the context of Ireland with scenarios extending to 2050.…”

Section: Literature Reviewmentioning

confidence: 99%

A simulation-based analysis for the road freighttransport decarbonization: A case study of Colombia

Gil,

Rey-Ladino,

Wilmsmeier

et al. 2024

Preprint

View full text Add to dashboard Cite

This study introduces a simulation-based analysis of the decarbonization options for the road freight transport sector. It focuses on exploring the impact of operational and management measures on fleet renewal strategies aimed at achieving net zero goals by 2050. The proposed approach integrates current and planned future policy changes, operational practices, and technology renewal into the modeling process to offer a macro-level perspective on the decarbonization challenge. Specifically, the proposed modeling approach takes into account the reduction of empty trips, the optimization of cargo consolidation, and the promotion of eco-driving practices based on national freight transport data (i.e., covering more than 7.99 million trips). The proposed approach examines the effect of introducing contemporary vehicle technologies, such as new diesel vehicles (EURO VI or higher), new natural gas vehicles (EURO VI or higher), electric vehicles and hydrogen vehicles, as feasible replacements for aging vehicles powered by conventional fossil fuels. The adoption of these cleaner and newer technologies demonstrates the potential for emissions reductions of up to 13% (2,070,000 tons CO2e) by 2030 and 47% (13,232,000 tons CO2e) by 2050. In addition, the results obtained from this research can serve as an exemplary case study for other emerging economies.

show abstract

“…Grey system theory has been implemented together with MCDM methods in recent studies. Recent grey system application studies are; (Alwan et al, 2023;Arunagiri et al, 2023;Badi et al, 2023;Biswas & Pamucar, 2023;Konstantinou & Gkritza, 2023;Lakshmi Narayana & Gopalan, 2023;Raji et al, 2023;Sorooshian, 2023;Zheng, 2023). A few Grey system theory is also applied in 3PL studies.…”

Section: Grey System Theorymentioning

confidence: 99%

Application of Pfahp-Gtopsis Methods for Third-Party Logistics Provider Selection

Çizmecioğlu,

Boz,

Çalık

2024

Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi

View full text Add to dashboard Cite

Companies are now considering the option of outsourcing as hedges cost and increase productivity by concentrating on their core skills to update their supply chains due to the competition in global markets, the use of higher-quality products, and rising customer demands. They must carefully select and identify which company to collaborate with before outsourcing their numerous logistics-related tasks to Third-Party Logistics Providers (3PLP). However, the existence of uncertainties and human influence in 3PLP selection problems leads to the usage of fuzzy or related set theories. By incorporating Multi-Criteria Decision Making (MCDM) methods with fuzzy numbers and grey numbers, practical tools can be composed to address the imprecision of subjective judgments. From this perspective, an integrated MCDM model is proposed to provide insight into the 3PLP evaluation and selection. The model comprises an integrated framework with Pythagorean fuzzy numbers and grey numbers. The proposed model has applied a 3PLP a company in the food industry to fulfill customer orders. The evaluation criteria weights are calculated using the Pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) method, and the 3PLPs are ranked using the grey Technique for Order Preference by Similarity to Ideal Solution (GTOPSIS) methods to find the best 3PLP. The analyses and findings concluded that cost, service quality, and on-time delivery were the three criteria that had the greatest influence

show abstract

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

Cited by 15 publications

References 64 publications

Decarbonising road freight transport: The role of zero-emission trucks and intangible costs

Decarbonising road freight transport: The role of zero-emission trucks and intangible costs

A simulation-based analysis for the road freighttransport decarbonization: A case study of Colombia

Application of Pfahp-Gtopsis Methods for Third-Party Logistics Provider Selection

Contact Info

Product

Resources

About