To fully automate or not? Investigating demands and willingness to pay for autonomous vehicles based on automation levels

Yoo, Sunbin; Managi, Shunsuke

doi:10.1016/j.iatssr.2021.11.002

Cited by 12 publications

(7 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section of the survey, questionnaire items were designed and developed based on prior research, along with adjustments and recommendations from experts' feedback to ensure relevance to the research context. The five-point Likert scale is implemented in this study as found in the reviewed literature [42,57].…”

Section: Methodsmentioning

confidence: 99%

Examining the Determinants of Electric Vehicle Acceptance in Jordan: A PLS-SEM Approach

Abudayyeh,

Almomani,

Almomani

et al. 2023

WEVJ

View full text Add to dashboard Cite

Recently, technologies for electric mobility have developed rapidly. Since the introduction and spread of Electric Vehicles (EVs), several studies have attempted to investigate the benefits and risks that impact on the growth of the EV market by evaluating data gathered from various drivers. However, some variables were disregarded such as: Public Involvement, Knowledge of EVs, Perceived Risk, Behavioural Intention, and EV acceptance. These variables are considered vital when analysing the intention to use EVs. Therefore, this study compiles the above mentioned variables to evaluate their effect on the intention to use EVs in Jordan. 501 collected responses were examined using the Smart PLS-Structural Equation Model algorithm. In general, the analysis revealed high levels of EV acceptance. The study proposed twelve direct relationship hypotheses. Out of these hypotheses, ten hypotheses were supported and two were rejected. The final conclusions are that an increase in public involvement is associated with an increase in knowledge of EVs, and an increase in their perceived risk. Moreover, the knowledge of EVs has positively and significantly influenced the perceived usefulness and perceived ease of use, along with EV acceptance. However, no relationships were found between the following: 1. the knowledge of EVs and perceived risk; and 2. perceived risk and behavioural intention.

show abstract

Section: Methodsmentioning

confidence: 99%

Examining the Determinants of Electric Vehicle Acceptance in Jordan: A PLS-SEM Approach

Abudayyeh,

Almomani,

Almomani

et al. 2023

WEVJ

View full text Add to dashboard Cite

show abstract

“…The finding suggests that there is a positive relationship between high interest in research and countries' basis. For instance, the US has the highest number of research papers that may be attributed to its leading position in the area of AV development, where many startup companies, such as Google, Uber, Apple, and Tesla, have been actively involved in the development of AV technology and pilot deployment on the roads [30]. In addition, under Vision 3.0 on the Future of Transportation (US Department of Transportation, 2018), the US government has been actively encouraging AV companies and car manufacturers to address potential buyers and all the barriers that would disrupt the implementation of AV technologies [31].…”

Section: Countriesmentioning

confidence: 99%

“…It was projected that Level 2 automation vehicles consisted half of the vehicle sales in China by 2020, and Level 3 automation vehicles are estimated to obtain 15% of the sales by 2025, and subsequently, Level 4 and Level 5 automation vehicles will achieve 10% of the market sales by 2030, which equals 4 million robocars yearly [32]. Foreseeing the arrivals of fully automated vehicles on the roads of China in the very near future has attracted the interest of academicians, researchers, and other related parties to put in more effort and time to understand the influential factors and the potential impacts of AV adoption in society [30].…”

Section: High-yield Journalmentioning

confidence: 99%

“…While Japan is the third largest automotive producer in the world [35], studies on the acceptance of AVs seem to be lacking as compared with other countries, with only 13 publications found. The Ministry of Land, Transport, and Infrastructure (2020) reported that AVs accounted for only 2.5% market share in 2020 [30]. This leads to the urgency of relevant parties to devote more efforts and time to increasing the market shares and to understand consumers' demand for AVs [28].…”

Section: High-yield Journalmentioning

confidence: 99%

See 1 more Smart Citation

Public Acceptance towards Emerging Autonomous Vehicle Technology: A Bibliometric Research

Tan

Lau

et al. 2023

Sustainability

View full text Add to dashboard Cite

In the current challenging and competitive dynamic business world today, automotive companies have been rapidly developing and promoting autonomous vehicles (AVs), which aim to reduce crashes, energy consumption, pollution, and congestion and increase transport accessibility. To ensure the successful adoption of AVs, an increasing number of studies have been conducted to understand public acceptance. This paper used the bibliometric technique to understand the distribution, emerging trend, and the research cluster in the context of AV technology acceptance through knowledge mapping. The Web of Science database was used to retrieve 401 scientific articles from 2000 to June 2022. The findings reported that the previous studies mainly focused on the research clusters related to the domains of attitude, trust, technology, impact, and models. Finally, this study added to the existing body of literature by providing the current knowledge landscape to guide the future research.

show abstract

“…Trying to foresee which will be the main issues for a specific site considering the interaction and coexistence of AVs and CVs may be a key factor in dealing with changing mobility. The coexistence of AVs and CVs (and also between different levels of AVs) is something that must be considered, both because it is not possible to change the entire vehicle fleet in a few days and because some people will prefer to continue using CVs for various reasons, as discussed in the research from Yoo and Managi [13].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Impact on Road Safety of Automated Vehicles: An Infrastructure Inspection-Based Approach

Paliotto

Alessandrini

Mazzia

et al. 2022

Future Transportation

View full text Add to dashboard Cite

How safe will Automated Vehicles (AVs) be? It depends on technologies, vehicles, other road users, and infrastructures. The only certainty is that automated vehicles will not solve all road safety issues. As the penetration of AVs might be much more sudden than road infrastructure modification, the infrastructure revision process should start immediately by then, and road authorities must be ready in turn. This paper presents an approach based on road safety inspections to quantify and compare the expected safety levels for a road section with different combinations of Automated and Conventional Vehicles (CVs). Developed in the framework of the EC project CoEXist, the proposed approach allows for identifying the possible safety issues that may arise when introducing AVs. All safety issues are judged in terms of risk, which is the product of the exposure, the likelihood of the crash, and the severity of the possible consequences. All these aspects are analyzed in different scenarios considering different AV penetration levels and driving logic. The results show a potential risk decrease according to the higher penetration of AVs. Nevertheless, the analysis highlights that safety issues may arise with the introduction of specific AVs’ driving logics.

show abstract

To fully automate or not? Investigating demands and willingness to pay for autonomous vehicles based on automation levels

Cited by 12 publications

References 51 publications

Examining the Determinants of Electric Vehicle Acceptance in Jordan: A PLS-SEM Approach

Examining the Determinants of Electric Vehicle Acceptance in Jordan: A PLS-SEM Approach

Public Acceptance towards Emerging Autonomous Vehicle Technology: A Bibliometric Research

Assessing the Impact on Road Safety of Automated Vehicles: An Infrastructure Inspection-Based Approach

Contact Info

Product

Resources

About