Interrelationships between influential factors and behavioral intention with regard to autonomous vehicles

2018 ◽  
Vol 13 (7) ◽  
pp. 511-527 ◽  
Author(s):  
Huey-Kuo Chen ◽  
Da-Wei Yan
Keyword(s):  
Behavioral Intention ◽  
Autonomous Vehicles ◽  
Influential Factors

scholarly journals What drives you to use a driverless car?

2020 ◽  
Author(s):  
Sándor Huszár ◽  
Zoltán Majó-Petri
Keyword(s):  
Technology Acceptance ◽  
Influencing Factors ◽  
Behavioral Intention ◽  
Autonomous Vehicles ◽  
Structural Equation ◽  
Technological Development ◽  
Perceived Safety ◽  
Psychological Models ◽  
Acceptance Model ◽  
Self Driving Cars

The investigation of driverless car from the economic perspective is one of the most discussed topics nowadays. Although it can be approached from various perspectives there is still a lack of studies focusing on the behavioral intention to use self-driving cars and its influencing factors. Over the last few decades, various psychological models have been developed to investigate the influencing factors of usage of certain technologies, but most of them cannot provide clear answers on consumer attitudes and intentions with regard to autonomous vehicles. Thus, new models have appeared to better describe the psychological factors of this new technological development that will revolutionize the future of mobility. In our research CTAM (Car Technology Acceptance Model) was used to measure intention to using self-driving cars. In 2019, 314 participants responded to our questionnaire and provided answers to the given questions. We used structural equation modelling to investigate the linkages between the behavioral intention and influencing factors revealed during the literature review. According to the results, the most important influencing factors of intention are attitude, perceived safety and social norms, while anxiety (of using the technology), effort expectancy, performance expectancy, and self-efficacy have not been proven important factors. The model used in our investigation explains behavioral intention to a great extent (63%).

scholarly journals Will the Thai ABC Car Owners, Buy a Smart ABC Car? a Case Study in Bangkok Metropolis

2018 ◽  
Vol 7 (3.30) ◽  
pp. 202
Author(s):  
Keerati Sittichainarong ◽  
Aaron Loh ◽  
Preecha Methavasaraphak ◽  
John Barnes
Keyword(s):  
Automobile Industry ◽  
Autonomous Vehicles ◽  
New Technology ◽  
Influential Factors ◽  
Self Identity ◽  
Factors Affecting ◽  
Intent To Purchase ◽  
Intention To Purchase ◽  
Near Future

Thailand is the biggest manufacturer of trucks and cars outside of Japan and China in Asia. Many had reported that "smart" technology especially that which leads towards driverless or autonomous vehicles will be the most important single development that will affect the automobile industry both domestically and globally.  Hence this research is therefore on the readiness of Thai car owners to adopt the new technology and the intention to purchase a smart car in the near future. Specifically, it is a case study on the influential factors affecting the intent to purchase a smart car by owners of a top Japanese brand in Bangkok. A questionnaire survey was conducted on 385 existing car owners of the Japanese brand under consideration in metropolitan areas of Bangkok and the data returned analyzed by multiple linear regression. The outcome of the research pointed towards ‘Self-identity” and ‘Emotional connection’ as the most influential factors towards the intent to purchase a smart car.  

scholarly journals User Trust levels and Adoption of Mobile Payment Systems in China: An Empirical Analysis

SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110565
Author(s):  
Kamal Abubker Abrahim Sleiman ◽  
Lan Juanli ◽  
Hongzhen Lei ◽  
Ru Liu ◽  
Yuanxin Ouyang ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Success Factors ◽  
Influential Factors ◽  
Ease Of Use ◽  
Mobile Payment ◽  
Daily Lives ◽  
Empirical Survey ◽  
Mobile Payments

The technology acceptance model (TAM) has been regarded as a promising model for understanding technology adoption and can be extended to different situations. Currently, mobile payment services have been widely applied in people’s daily lives in China, and understanding their critical success factors is becoming important. Mobile payments are a complex system, and a large number of factors affect their success. Since mobile payments are directly related to financial issues, their wide adoption relies heavily on people’s trust. We developed a model based on the TAM to investigate the most influential factors in building trust within the mobile payment context. We conducted an empirical survey and 373 samples were collected using a valid questionnaire from the users of the popular payment platforms in China—Alipay and WeChat payment. We found that government monitoring is the most significant factor of customer trust, followed by reputation, and security. Government monitoring directly influenced behavioral intention, was negatively associated with perceived risk and positively affected behavioral intention. Moreover, mobility, subjective norms, usefulness, ease of use, and perceived enjoyment impacts customer behavioral intention.

A multi-group analysis of the behavioral intention to ride in autonomous vehicles: evidence from three U.S. metropolitan areas

2022 ◽  
Author(s):  
Christos Gkartzonikas ◽  
Lisa Lorena Losada-Rojas ◽  
Sharon Christ ◽  
V. Dimitra Pyrialakou ◽  
Konstantina Gkritza
Keyword(s):  
Behavioral Intention ◽  
Autonomous Vehicles ◽  
Metropolitan Areas ◽  
Group Analysis

scholarly journals Individual Predictors of Autonomous Vehicle Public Acceptance and Intention to Use: A Systematic Review of the Literature

2020 ◽  
Vol 6 (4) ◽  
pp. 106 ◽  
Author(s):  
Fahimeh Golbabaei ◽  
Tan Yigitcanlar ◽  
Alexander Paz ◽  
Jonathan Bunker
Keyword(s):  
Systematic Review ◽  
Autonomous Vehicles ◽  
Public Attitudes ◽  
Autonomous Vehicle ◽  
Influential Factors ◽  
Public Acceptance ◽  
Adoption Process ◽  
Intention To Use ◽  
People’S Attitudes ◽  
The Individual

Fully autonomous vehicles (AV) would potentially be one of the most disruptive technologies of our time. The extent of the prospective benefits of AVs is strongly linked to how widely they will be accepted and adopted. Monitoring and tracking of individuals’ reactions and intentions to use AVs are critical. The current study aims to explore and classify individual predictors (i.e., influential factors or determinants) of public acceptance of, and intention to use AVs, by conducting a systematic literature review and developing a conceptual framework to map out the individual influential factors that shape public attitudes towards AVs, which influence user acceptance and adoption preferences. This framework contains the key factors identified in the systematic review—i.e., demographic, psychological, and mobility behavior characteristics. The findings of the review disclose that public perceptions and adoption intentions vary significantly among different socio-demographic cohorts. Commuters value different aspects concerning AVs, which shape their intentions on acceptance and adoption. Thus, direct experience with AVs along with education and communication would be helpful to change people’s attitudes towards AVs in a positive way. The study informs urban and transport policymakers, managers, and planners, and helps in planning for a healthy AV adoption process with minimal societal disruption.

How to Evaluate Remote Tower Metrics in Connection With Weather Observations

2018 ◽  
Vol 8 (2) ◽  
pp. 100-111 ◽  
Author(s):  
Maik Friedrich ◽  
Christoph Möhlenbrink
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Influential Factors ◽  
Air Traffic ◽  
Weather Event ◽  
Evaluation Of Performance ◽  
Weather Events ◽  
Weather Observations ◽  
Validation Experiment ◽  
Remote Controller

Abstract. Owing to the different approaches for remote tower operation, a standardized set of indicators is needed to evaluate the technical implementations at a task performance level. One of the most influential factors for air traffic control is weather. This article describes the influence of weather metrics on remote tower operations and how to validate them against each other. Weather metrics are essential to the evaluation of different remote controller working positions. Therefore, weather metrics were identified as part of a validation at the Erfurt-Weimar Airport. Air traffic control officers observed weather events at the tower control working position and the remote control working position. The eight participating air traffic control officers answered time-synchronized questionnaires at both workplaces. The questionnaires addressed operationally relevant weather events in the aerodrome. The validation experiment targeted the air traffic control officer’s ability to categorize and judge the same weather event at different workplaces. The results show the potential of standardized indicators for the evaluation of performance and the importance of weather metrics in relation to other evaluation metrics.

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