Critical Factors Influencing Acceptance of Automated Vehicles by Hong Kong Drivers

Man, Siu Shing; Wei, Xiong; Chang, Fangrong; Chan, Alan H. S.

doi:10.1109/access.2020.3001929

Cited by 34 publications

(26 citation statements)

References 55 publications

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“…Table 4 shows the acceptable reliability and validity of driving intentions, attitudes, subjective norms, perceived behavioral control, and risk perceptions as their Cronbach alpha (α) and Composite Reliability (CR) are generally above 0.6 [48]. The FL and AVE should be greater than 0.5 [50,51].…”

Section: B Confirmatory Factor Analysismentioning

confidence: 99%

“…Drivers have a higher attitude towards risky driving intentions under the CV environment. Therefore, to minimize the driver's risky behavioral intentions, the traffic management authorities should actively take corresponding measures, put more effort to enhance drivers' interactive behaviors, and emphasize the importance of traffic safety [51].…”

Section: Practical Implicationsmentioning

confidence: 99%

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Intention of Risk-Taking Behavior at Unsignalized Intersections Under the Connected Vehicle Environment

et al. 2021

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With the rapid emergence of connected vehicle (CV) technologies, there is a shortage of research to understand CV technology's effect on drivers' risk-taking behavioral intentions. This paper aims to analyze driver responses to the real-time information by comparing their reactions to driving intentions between the CV and non-CV environments. A multi-group structural equation model (SEM) is employed to explore the heterogeneity in the relationships between behavioral intentions, attitudes, subjective norms, perceived behavioral control, and risk perceptions under the two different environments. This study reveals two key findings: 1) regarding driver responses to the theory of planned behavior (TPB) model, there are significant differences in attitudes and risk perceptions between the CV and non-CV environments; 2) irrespective of driving environments, risk-taking behavioral intentions are directly related to perceived behavioral control and risk perceptions. While intentions are directly related to attitudes but not associated with subjective norms under the non-CV environment. In contrast, intentions are directly related to subjective norms but not associated with attitude under the CV environment. The findings provide a theoretical basis for using TPB to evaluate CV technology's effects and understanding the differences between the CV and non-CV environments. INDEX TERMS Connected vehicles, Risky driving intentions, Structural equation model, Theory of planned behavior, Unsignalized intersections.

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Section: B Confirmatory Factor Analysismentioning

confidence: 99%

Section: Practical Implicationsmentioning

confidence: 99%

Intention of Risk-Taking Behavior at Unsignalized Intersections Under the Connected Vehicle Environment

et al. 2021

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“…According to Man et al [56], technology improves security and reduces human error. According to Mezhuyev et al [50], comprehensive achievements can be achieved with technological efficiency by enhancing the development of the software used.…”

Section: Technology Improves Job Performancementioning

confidence: 99%

“…Khamaruddin et al [57] found that a technological platform is great for monitoring individual work progress to ensure each task is completed. Man et al [56] and Zettel [58] claimed that technology helps in completing high-quality work.…”

Section: Technology Improves Job Performancementioning

confidence: 99%

Perceived Usefulness of Airborne LiDAR Technology in Road Design and Management: A Review

et al. 2021

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Airborne light detection and ranging (LiDAR) surveying technology plays an important role in road design, and it is increasingly implemented in the design stage. The ability of LiDAR as a remote sensing technology to be used in non-accessible places (i.e., hilly terrain, steep slope) makes it a powerful tool, and it has the potential to provide benefits that simplify existing design processes for designers and practitioners. This paper reviews the application of airborne LiDAR in road design and factors including items from the perceived usefulness of technology. The context of the future direction of LiDAR technology is highlighted in civil engineering road design, roadway inspection and as-built documentation. The implementation of this technology is expected to assist the end-users in developing more manageable planning for road construction and thus to ensure the usage of LiDAR technology is enhanced from time to time, especially in Malaysia.

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“…Specifically, German AV ethics guidelines state that "Automated and connected technology should prevent accidents wherever this is practically possible" in its fifth clause. In addition, various studies emphasized that trust in AVs is the most important determinant to accept AVs for their mobility, and that the trust is decided by perceived safety risk, compatibility, and system quality [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

For Preventative Automated Driving System (PADS): Traffic Accident Context Analysis Based on Deep Neural Networks

2020

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Automated Vehicles (AVs) are under development to reduce traffic accidents to a great extent. Therefore, safety will play a pivotal role to determine their social acceptability. Despite the fast development of AVs technologies, related accidents can occur even in an ideal environment. Therefore, measures to prevent traffic accidents in advance are essential. This study implemented a traffic accident context analysis based on the Deep Neural Network (DNNs) technique to design a Preventive Automated Driving System (PADS). The DNN-based analysis reveals that when a traffic accident occurs, the offender’s injury can be predicted with 85% accuracy and the victim’s case with 67%. In addition, to find out factors that decide the degree of injury to the offender and victim, a random forest analysis was implemented. The vehicle type and speed were identified as the most important factors to decide the degree of injury of the offender, while the importance for the victim is ordered by speed, time of day, vehicle type, and day of the week. The PADS proposed in this study is expected not only to contribute to improve the safety of AVs, but to prevent accidents in advance.

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Critical Factors Influencing Acceptance of Automated Vehicles by Hong Kong Drivers

Cited by 34 publications

References 55 publications

Intention of Risk-Taking Behavior at Unsignalized Intersections Under the Connected Vehicle Environment

Intention of Risk-Taking Behavior at Unsignalized Intersections Under the Connected Vehicle Environment

Perceived Usefulness of Airborne LiDAR Technology in Road Design and Management: A Review

For Preventative Automated Driving System (PADS): Traffic Accident Context Analysis Based on Deep Neural Networks

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