The potential influence of cost-related factors on the adoption of electric vehicle: An integrated micro-simulation approach

Zhuge, Chengxiang; Wei, Binru; Shao, Chunfu; Dong, Cheng-Di; Meng, Meng; Zhang, Jie

doi:10.1016/j.jclepro.2019.119479

Cited by 36 publications

(9 citation statements)

References 38 publications

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“…Automation and electrification are popular trends in urban transportation [2]. Last-mile shuttle buses will be more environmentally friendly and marketable than traditional ones due to the synergies between automation and electrification [3]. The LMSBS with automation and electrification is also a pro-social transportation mode, with the advantages of alleviating traffic congestions, increasing energy efficiency and safety, and enhancing travel well-being in cold-climate environments [4].…”

Section: Introductionmentioning

confidence: 99%

Public Acceptance of Last-Mile Shuttle Bus Services with Automation and Electrification in Cold-Climate Environments

Wang

Pei

2022

Sustainability

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The last-mile shuttle bus service with automation and electrification has emerged to fill gaps in on-demand transportation systems and its goals are to satisfy the door-to-door mobility needs of residents. It could help to enhance the happiness of public travel in cold-climate environments, which is also considered a pro-social public transportation service. Although it has the potential to promote sustainable and environmentally friendly mobility systems, the successful implementation of last-mile shuttle bus services with automation and electrification highly depends on individuals’ willingness to accept. In this paper, a theoretical acceptance model for last-mile shuttle bus services with automation and electrification is proposed. Partial least squares structural equation modeling is employed to examine research model in accordance with 986 valid questionnaires answered by public in snow and ice environments. The outcomes show that the proposed model accounts for 73.4% of the variance in behavioral intention to utilize last-mile shuttle bus services with automation and electrification. The strongest determinants of behavior intention are attitude and perceived usefulness. In addition, perceived risk negatively affects behavioral intention. We also provide theoretical findings and practical suggestions for developing last-mile shuttle bus services with automation and electrification based on the results and our analysis.

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Section: Introductionmentioning

confidence: 99%

Public Acceptance of Last-Mile Shuttle Bus Services with Automation and Electrification in Cold-Climate Environments

Wang

Pei

2022

Sustainability

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“…However, no funding has been allocated for education and public awareness. In short, policymakers mention other barriers to large EV adoption such as (1) lack of publicly accessible chargers [230], (2) EV driving range [231], (3) failure of efficient integrated energy management systems for EV and charging stations [232,233], and upfront purchase cost [234,235]. The research has not adequately investigated the most barriers to EV adoption from policymakers, given their varying priorities and potential conflicts of interest.…”

Section: Policymakers' Viewpointsmentioning

confidence: 99%

Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages

Loni,

Asadi

2024

Smart Grids and Energy

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Electrical power systems with their components such as generation, network, control and transmission equipment, management systems, and electrical loads are the backbone of modern life. Historical power outages caused by natural disasters or human failures show huge losses to the economy, environment, healthcare, and people’s lives. This paper presents a systematic review on three interconnected dimensions of (1) electric power system resilience (2) the electricity supply for/through Electric Vehicles (EVs), and (3) social vulnerability to power outages. This paper contributes to the existing literature and research by highlighting the importance of considering social vulnerability in the context of power system resilience and EVs, providing insights into addressing inequities in access to backup power resources during power outages. This paper first reviews power system resilience focusing on qualitative and quantitative metrics, evaluation methods, and planning and operation-based enhancement strategies for electric power systems during prolonged outages through microgrids, energy storage systems (e.g., battery, power-to-gas, and hydrogen energy storage systems), renewable energy sources, and demand response schemes. In addition, this study contributes to in-depth examination of the evolving role of EVs, as a backup power supply, in enhancing power system resilience by exploring the EV applications such as vehicle-to-home/building, grid-to-vehicle, and vehicle-to-vehicle or the utilization of second life of EV batteries. Transportation electrification has escalated the interdependency of power and transportation sectors, posing challenges during prolonged power outages. Therefore, in the next part, the resilient strategies for providing electricity supply and charging services for EVs are discussed such as deployments of battery swapping technology and mobile battery trucks (MBTs), as well as designing sustainable off-grid charging stations. It offers insights into innovative solutions for ensuring continuous electricity supply for EVs during outages. In the section on social vulnerability to power outages, this paper first reviews the most socioeconomic and demographic indicators involved in the quantification of social vulnerability to power outages. Afterward, the association between energy equity on social vulnerability to power outages is discussed such as inequity in backup power resources and power recovery and restoration. The study examines the existing challenges and research gaps related to the power system resilience, the electric power supply for/through EVs, social vulnerability, and inequity access to resources during extended power outages and proposes potential research directions to address these gaps and build upon future studies.

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“…Some studies think that the energy price is one of the driving forces of automobile promotion and sales [11,12]. For example, increase in the gasoline price is beneficial to the promotion of electric vehicles [13], but some studies show that the energy price has little influence on the promotion of electric vehicles [14].…”

Section: Literature Review 121 Influencing Factors Of Vehicle Salesmentioning

confidence: 99%

Prediction of China Automobile Market Evolution Based on Univariate and Multivariate Perspectives

Dai,

Fang,

Wang

et al. 2023

Systems

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The automobile is an important part of transportation systems. Accurate prediction of sales prospects of different power vehicles can provide an important reference for national scientific decision making, flexible operation of enterprises and rational purchases of consumers. Considering that China has achieved the goal of 20% sales of new energy vehicles ahead of schedule in 2025, in order to accurately judge the competition pattern of new and old kinetic energy vehicles in the future, the automobile market is divided into three types according to power types: traditional fuel vehicles, new energy vehicles and plug-in hybrid vehicles. Based on the monthly sales data of automobiles from March 2016 to March 2023, the prediction effects of multiple models are compared from the perspective of univariate prediction. Secondly, based on the perspective of multivariate prediction, combined with the data of economic, social and technical factors, a multivariate prediction model with high prediction accuracy is selected. On this basis, the sales volume of various power vehicles from April 2023 to December 2025 is predicted. Univariate prediction results show that in 2025, the penetration rates of three types of vehicles will reach 43.8%, 44.4% and 11.8%, respectively, and multivariate prediction results show that the penetration rates will reach 51.0%, 37.9% and 11.1%, respectively.

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The potential influence of cost-related factors on the adoption of electric vehicle: An integrated micro-simulation approach

Cited by 36 publications

References 38 publications

Public Acceptance of Last-Mile Shuttle Bus Services with Automation and Electrification in Cold-Climate Environments

Public Acceptance of Last-Mile Shuttle Bus Services with Automation and Electrification in Cold-Climate Environments

Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages

Prediction of China Automobile Market Evolution Based on Univariate and Multivariate Perspectives

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