scholarly journals Factors Affecting Electric Vehicle Uptake: Insights from a Descriptive Analysis in Australia

Urban Science ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 57
Author(s):  
Bethany Foley ◽  
Kenan Degirmenci ◽  
Tan Yigitcanlar
Keyword(s):  
Renewable Energy ◽  
Electric Vehicle ◽  
Internal Combustion Engines ◽  
Descriptive Analysis ◽  
Regional Analysis ◽  
Global Market ◽  
Future Research ◽  
Key Factors ◽  
Factors Affecting ◽  
Charging Stations

Transport activities are among the major contributors of greenhouse gas emissions and the resulting global climate crisis. Despite some efforts in shifting from internal combustion engines to electric motors, the global market share of electric vehicles (EVs) is very low—about 1%. This figure even goes as low as 0.4% for some developed countries—e.g., Australia. There is a growing, but still limited, number of studies investigating the key factors affecting the uptake of EVs. Additionally, there is no regional analysis in late-moving countries, which would provide knowledge for a better understanding why some countries are falling behind in the EV market. This paper focuses on Australia as a late mover in the EV market and generates insights into a regional analysis of key factors affecting the uptake of EVs. The unit of analysis for this study is determined as the states and territories of Australia. The methodologic approach of the study includes a descriptive analysis of publicly accessible fast and slow charging stations in Australia, the distribution of renewable energy, as well as electric vehicle sales in Australia, along with further factors relating to differences in income and education and subsidies for EVs from the government. The findings of the study reveal that (a) EV uptake conditions is an emerging research topic; (b) renewable energy, EV subsidies, charging stations, income, and education do generally favor EV sales in Australia; (c) the Australian Capital Territory has the highest readiness level among all the Australian states and territories; and (d) future research should be conducted on a local government level to capture the local readiness levels accurately. The study findings inform policymakers, car manufacturers, the energy sector, and scholars on the critical success factors for the uptake of EVs in Australia.

Metrics development and modelling the mixed reality and digital twin adoption in the context of Industry 4.0

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samad M.E. Sepasgozar ◽  
Mohsen Ghobadi ◽  
Sara Shirowzhan ◽  
David J. Edwards ◽  
Elham Delzendeh
Keyword(s):  
Technology Acceptance ◽  
Mixed Reality ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Future Research ◽  
Key Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Digital Twin ◽  
Acceptance Model

PurposeThis paper aims to examine the current technology acceptance model (TAM) in the field of mixed reality and digital twin (MRDT) and identify key factors affecting users' intentions to use MRDT. The factors are used as a set of key metrics for proposing a predictive model for virtual, augmented and mixed reality (MR) acceptance by users. This model is called the extended TAM for MRDT adoption in the architecture, engineering, construction and operations (AECO) industry.Design/methodology/approachAn interpretivist philosophical lens was adopted to conduct an inductive systematic and bibliographical analysis of secondary data contained within published journal articles that focused upon MRDT acceptance modelling. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach to meta-analysis were adopted to ensure all key investigations were included in the final database set. Quantity indicators such as path coefficients, factor ranking, Cronbach’s alpha (a) and chi-square (b) test, coupled with content analysis, were used for examining the database constructed. The database included journal papers from 2010 to 2020.FindingsThe extant literature revealed that the most commonly used constructs of the MRDT–TAM included: subjective norm; social influence; perceived ease of use (PEOU); perceived security; perceived enjoyment; satisfaction; perceived usefulness (PU); attitude; and behavioural intention (BI). Using these identified constructs, the general extended TAM for MRDT in the AECO industry is developed. Other important factors such as “perceived immersion” could be added to the obtained model.Research limitations/implicationsThe decision to utilise a new technology is difficult and high risk in the construction project context, due to the complexity of MRDT technologies and dynamic construction environment. The outcome of the decision may affect employee performance, project productivity and on-site safety. The extended acceptance model offers a set of factors that assist managers or practitioners in making effective decisions for utilising any type of MRDT technology.Practical implicationsSeveral constraints are apparent due to the limited investigation of MRDT evaluation matrices and empirical studies. For example, the research only covers technologies which have been reported in the literature, relating to virtual reality (VR), augmented reality (AR), MR, DT and sensors, so newer technologies may not be included. Moreover, the review process could span a longer time period and thus embrace a fuller spectrum of technology development in these different areas.Originality/valueThe research provides a theoretical model for measuring and evaluating MRDT acceptance at the individual level in the AECO context and signposts future research related to MRDT adoption in the AECO industry, as well as providing managerial guidance for progressive AECO professionals who seek to expand their use of MRDT in the Fourth Industrial Revolution (4IR). A set of key factors affecting MRDT acceptance is identified which will help innovators to improve their technology to achieve a wider acceptance.

Factors Affecting KM Implementation in the Chinese Community

2010 ◽  
Vol 6 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Yang Lin ◽  
Kimiz Dalkir
Keyword(s):  
Past Research ◽  
Future Research ◽  
Individual Factors ◽  
Direct Impact ◽  
Chinese Community ◽  
Key Factors ◽  
Factors Affecting ◽  
Relationship Networks ◽  
Specific Factors ◽  
Knowledge Hoarding

This paper reviews past research on KM to identify key factors affecting Chinese KM implementation. It begins with a chronological overview of 76 KM related publications, followed by two separate discussions of socio-cultural and non-socio-cultural factors affecting KM implementation within the Chinese community. A preliminary typology of these factors is proposed. In addition to individual factors that have direct impact on how people behave in the process of KM implementation, specific factors that strongly influence Chinese KM implementation are: (1) relationship networks and collectivist thinking, (2) competitiveness and knowledge hoarding, (3) management involvement and support, and (4) organizational culture that encourages knowledge sharing and learning and that minimizes knowledge hoarding. Several directions for future research are also presented.

scholarly journals Analysis of the key factors affecting the energy efficiency of batteries in electric vehicle

2010 ◽  
Vol 4 (1) ◽  
pp. 9-13 ◽  
Author(s):  
Rengui Lu ◽  
Aochi Yang ◽  
Yufeng Xue ◽  
Lichao Xu ◽  
Chunbo Zhu
Keyword(s):  
Energy Efficiency ◽  
Electric Vehicle ◽  
Key Factors ◽  
Factors Affecting

Feasibility Study of Renewable Energy Integrated Electric Vehicle Charging Infrastructure

2016 ◽  
pp. 313-349
Author(s):  
Azhar Ul-Haq ◽  
Marium Azhar
Keyword(s):  
Renewable Energy ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Area Network ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Charging Stations

This chapter presents a detailed study of renewable energy integrated charging infrastructure for electric vehicles (EVs) and discusses its various aspects such as siting requirements, standards of charging stations, integration of renewable energy sources for powering up charging stations and interfacing devices between charging facilities and smart grid. A smart charging station for EVs is explained along with its essential components and different charging methodologies are explained. It has been recognized that the amalgamation of electric vehicles in the transportation sector will trigger power issues due to the mobility of vehicles beyond the stretch of home area network. In this regard an information and communication technology (ICT) based architecture may support EVs management with an aim to enhance the electric vehicle charging and energy storage capabilities with the relevant considerations. An ICT based solution is capable of monitoring the state of charge (SOC) of EV batteries, health and accessible amount of energy along with the mobility of EVs.

scholarly journals Trophic transfer of metal-based nanoparticles in aquatic environments: a review and recommendations for future research focus

2016 ◽  
Vol 3 (5) ◽  
pp. 966-981 ◽  
Author(s):  
Stine Rosendal Tangaa ◽  
Henriette Selck ◽  
Margrethe Winther-Nielsen ◽  
Farhan R. Khan
Keyword(s):  
Aquatic Ecosystems ◽  
Trophic Transfer ◽  
Future Research ◽  
Aquatic Environments ◽  
Key Factors ◽  
Research Focus ◽  
Knowledge Gaps ◽  
Factors Affecting

We review trophic transfer of metal-based nanoparticles in aquatic ecosystems, present key factors affecting this transfer and highlight knowledge gaps.

scholarly journals Standardisation of UK Electric Vehicle Charging Protocol, Payment and Charge Point Connection

2021 ◽  
Vol 12 (2) ◽  
pp. 63
Author(s):  
Keith Chamberlain ◽  
Salah Al-Majeed
Keyword(s):  
Literature Review ◽  
Electric Vehicle ◽  
User Satisfaction ◽  
New Technologies ◽  
User Interaction ◽  
Single Mode ◽  
Future Research ◽  
Factors Affecting ◽  
Electric Vehicle Charging ◽  
Charge Point

Standardisation is fundamental to ensuring that new technologies develop and grow unhindered by manufacturer-led standards. Dismissing this vital issue can have a detrimental effect on society regarding adopting new technologies, particularly when government targets and regulations are crucial for their success. We have witnessed competing global industries struggle for dominance, such as Betamax versus VHS, where each had a similar user outcome, but the confusion of differing formats slowed growth. We analyse emerging standards for electric vehicle rapid charging and investigate how standardisation challenges affect stakeholders by reviewing the existing literature on single-mode and polymodal harmonisation. By assimilating existing evidence, we then develop a new understanding of the science behind multi-model standardisation (MMS) approaches. Our literature review reveals three primary standardisation issues: (1) charge connections, (2) car to charger communication protocols, and (3) charge payment methods. We then analyse each mode type’s benefit, observing how each example contributes to the overall outcome, and suggest that their impact depends on car to charger handshake timing and intuitive user interaction. Using a structured survey of 282 respondents, we analyse end-user satisfaction for factors affecting growth in the EV sector and compare these findings with the factors identified during our literature review. We consequently articulate a programme for future research to understand EV rapid charger standardisation better, proposing recommendations for vested stakeholders that embrace sponsors in societal, technological and scientific transformation.

scholarly journals Review of Electric Vehicle Technologies, Charging Methods, Standards and Optimization Techniques

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 1910
Author(s):  
Syed Muhammad Arif ◽  
Tek Tjing Lie ◽  
Boon Chong Seet ◽  
Soumia Ayyadi ◽  
Kristian Jensen
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
State Of The Art ◽  
Optimization Techniques ◽  
Future Research ◽  
Wireless Power ◽  
Vehicle Technology ◽  
Vehicle Technologies ◽  
Charging Stations ◽  
Ev Charging

This paper presents a state-of-the-art review of electric vehicle technology, charging methods, standards, and optimization techniques. The essential characteristics of Hybrid Electric Vehicle (HEV) and Electric Vehicle (EV) are first discussed. Recent research on EV charging methods such as Battery Swap Station (BSS), Wireless Power Transfer (WPT), and Conductive Charging (CC) are then presented. This is followed by a discussion of EV standards such as charging levels and their configurations. Next, some of the most used optimization techniques for the sizing and placement of EV charging stations are analyzed. Finally, based on the insights gained, several recommendations are put forward for future research.

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