Exploring the challenges of electric vehicle adoption in final mile parcel delivery

Anosike, Anthony; Loomes, Helena; Udokporo, Chinonso Kenneth; Garza‐Reyes, Jose Arturo

doi:10.1080/13675567.2021.1978409

Cited by 36 publications

(27 citation statements)

References 40 publications

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“…The range of a conventional vehicle is practically unlimited with the minimum time required to fill the tank. The range of electric vehicles is limited, with significant vehicle battery charging times [18]. The key trends in the development of electric vehicles are based on increasing the distance traveled and reducing the charging time.…”

Section: Range and Supply Of Vehiclesmentioning

confidence: 99%

Key Evaluation Criteria for Assessing the Introduction of Electric Vehicles into the Logistics Operators Fleet

2022

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Increasing demands for logistics services cause several challenges related to total costs and meeting global environmental requirements. Logistic operators make efforts to improve all logistic processes and the distribution chain system by optimizing distribution networks and transport routes. Also, using clean or renewable energy help to meet the above-mentioned requirements by using environmentally friendly means of transportation such as electric and hybrid vehicles. The replacement of conventional with electric vehicles provides numerous benefits for improving the efficiency of the distribution chain system. This process is part of the concept known as Green Logistics, which strives to minimize the environmental impact of the logistics network and delivery. This paper focuses on identification of indicators for evaluating the acceptability of replacing conventional vehicles with electric vehicles in the fleet of logistics operators. We propose an evaluation matrix based on key indicators such as total costs, eco score fleet rating, and range and energy supply of vehicles. We use these indicators to determine the advantages, challenges, and possibilities of introducing electric vehicles in the logistics operator’s fleet. Also, we conducted a multi-criteria analysis of replacing conventional with electric vehicles in the fleet of one logistics operator.

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Section: Range and Supply Of Vehiclesmentioning

confidence: 99%

Key Evaluation Criteria for Assessing the Introduction of Electric Vehicles into the Logistics Operators Fleet

2022

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“…Information Handling Services (IHS) Markit predicts that EVs could capture 45% of the new car market already in 2040 and nearly 80% by 2050 due to great technological advances, decreased manufacturing costs, and international policies that facilitate EV expansion. Figure 6 shows a comparison between EVs, including battery (BEV) and plug-in hybrid (PHEV), fuel cell (FCV), and traditional internal combustion engine (ICE) vehicles [41]. EV propulsion drive system is considered the core element of the vehicle.…”

Section: Introductionmentioning

confidence: 99%

Overview on Digital Twin for Autonomous Electrical Vehicles Propulsion Drive System

et al. 2022

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The significant progress in the electric automotive industry brought a higher need for new technological innovations. Digital Twin (DT) is one of the hottest trends of the fourth industrial revolution. It allows representing physical assets under various operating conditions in a low-cost and zero-risk environment. DTs are used in many different fields from aerospace to healthcare. However, one of the perspective applications of such technology is the automotive industry. This paper presents an overview of the implementation of DT technology in electric vehicles (EV) propulsion drive systems. A general review of DT technology is supplemented with main applications analysis and comparison between different simulation technologies. Primary attention is given to the adaptation of DT technology for EV propulsion drive systems.

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“…In the LMD sector, cargo EVs are receiving increased attention from some scholars (Anosike et al. , 2021; Lebeau et al.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, it would be meaningful to explore the psychological determinants of carriers' intentions to use cargo EVs in the LMD sector, highlighting their importance in understanding carriers' intention to use cargo EVs.Previous studies on cargo EVs mainly focused on technology (e.g. operation of vehicle, charging infrastructure, battery capacity and vehicle safety issues) (Anosike et al. , 2021; Quak et al.…”

Section: Introductionmentioning

confidence: 99%

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Determinants of carriers' intentions to use electric cargo vehicles in last-mile delivery by extending the technology acceptance model: a case study of Vietnam

Ngoc

Nishiuchi

Nhu

2022

IJLM

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PurposeThis study aimed two objectives: The first objective was to explore carriers' intentions to use cargo electric vehicles (EVs) and the factors influencing these intentions in last-mile delivery (LMD). The other objective was to provide recommendations for policymakers and manufacturers to promote and customize cargo EVs to meet the requirements of carriers in the LMD sector.Design/methodology/approachIn this study the authors constructed a research framework that adjusted and extended the original technology acceptance model (TAM). The proposed model combines eight psychological factors, including attitude, perceived usefulness, perceived ease of use, perceived risk, public engagement, face consciousness, financial incentive policy and carrier intention, in which four factors, namely attitude, perceived usefulness, perceived ease of use and intention, were obtained from the original TAM and the four remaining factors, namely perceived risk, public engagement, face consciousness and financial incentive policy, were added.FindingsThe results showed that psychological factors such as attitude, perceived ease of use, perceived risk, public engagement and face consciousness might affect carriers' intentions to use electric cargo vehicles in LMD service in Vietnamese cities. These results agree with the previous studies and confirm that attitude, perceived ease of use, perceived risk, public engagement and face consciousness might be important for shaping intention to use electric cargo vehicles in emerging markets.Research limitations/implicationsThis study has several limitations, first, the data were collected in Vietnam, a country with weak academic contributions. Therefore, these findings might not be generalizable to other areas. The authors expect to apply the same research framework to other countries to explore the similarities and differences across the countries. Second, the authors conducted the surveys in three cities; except for Hanoi, the other two cities are not really large markets in the LMD service sector. Third, the authors ignored the relationship between the demographic characteristics and electric cargo vehicles. Further studies should address this gap.Practical implicationsBased on the findings, manufacturers should ensure the high-quality performance of electric cargo vehicles in terms of extending driving range and shortening recharging time. Policymakers should develop the roadmaps for electric cargo vehicles, starting from switching from conventional cargo motorcycles to electric motorcycles. In addition, developing public charging infrastructure should be prioritized, which is the fundamental basis for operating electric cargo vehicles. Finally, manufacturers should research and develop a product that would improve the reputation of carriers because carriers with higher face consciousness are more likely to pursue brand-name and high-priced products in order to enhance their reputation.Originality/valueThis study contributes to the literature in two aspects: First, the authors investigated intentions to use electric cargo vehicles in LMD service, which is rare from other studies, and they further identified the psychological determinants of carriers' intentions. Second, the findings increase the knowledge of carriers' intentions and suggest implications for policymakers and manufacturers to promote the adoption of electric cargo vehicles in last-mile deliver service.

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Exploring the challenges of electric vehicle adoption in final mile parcel delivery

Cited by 36 publications

References 40 publications

Key Evaluation Criteria for Assessing the Introduction of Electric Vehicles into the Logistics Operators Fleet

Key Evaluation Criteria for Assessing the Introduction of Electric Vehicles into the Logistics Operators Fleet

Overview on Digital Twin for Autonomous Electrical Vehicles Propulsion Drive System

Determinants of carriers' intentions to use electric cargo vehicles in last-mile delivery by extending the technology acceptance model: a case study of Vietnam

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