Barriers to the sustainable adoption of autonomous vehicles in developing countries: A multi-criteria decision-making approach

Shahedi, Alireza; Dadashpour, Iman; Rezaei, Mahdi

doi:10.1016/j.heliyon.2023.e15975

Cited by 7 publications

(3 citation statements)

References 42 publications

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“…This positive perception is likely influenced by the nation's advanced infrastructure, eagerness to adopt new technologies and initiatives like Dubai's Smart Autonomous Mobility Strategy. These findings align with the research of Shahedi [46], who also observed similar trends in regions with proactive technological policies.…”

Section: Perceptions Of Benefits and Concernssupporting

confidence: 91%

Autonomous Vehicles Perception, Acceptance, and Future Prospects in the GCC: An Analysis Using the UTAUT-Based Model

Hafeez,

Mas’ud,

Al-Shammari

et al. 2024

WEVJ

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The emergence of Autonomous Vehicles (AVs) marks a significant advancement in the automotive industry, transitioning from driver-assistance technologies to fully autonomous systems. This change is particularly impactful in the Gulf Cooperation Council (GCC) region, which is a significant automotive market and technological hub. However, the adoption of AVs in the GCC faces unique challenges due to the influence of cultural norms and geographical characteristics. Our research utilizes a customized framework of the Unified Theory of Acceptance and Use of Technology (UTAUT), which is adapted to include cultural and geographical factors. This approach fills a gap in the existing literature by identifying and analyzing the key factors affecting the adoption of AVs in the GCC. Our findings indicate a difference in the receptiveness towards AVs among different demographics. Younger participants displayed a more favorable attitude towards AVs compared to older individuals. Additionally, gender and educational attainment play significant roles in the acceptance of AVs. Specifically, our results suggest that there are variations in acceptance rates among genders and individuals with varying levels of education. The United Arab Emirates (UAE) has a relatively high acceptance rate of AVs due to its advanced infrastructure and openness to technological innovations. Our study identifies facilitating conditions and performance expectancy as crucial determinants of intention to use AVs in the GCC. It emphasizes the importance of infrastructure readiness and the perceived advantages of AVs in promoting their adoption.

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Section: Perceptions Of Benefits and Concernssupporting

confidence: 91%

Autonomous Vehicles Perception, Acceptance, and Future Prospects in the GCC: An Analysis Using the UTAUT-Based Model

Hafeez,

Mas’ud,

Al-Shammari

et al. 2024

WEVJ

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“…To this end, ADS represents a significant enhancement in life quality by reducing pollution emissions due to efficiency in construction and driving, travel conformity, and increased productivity that relies on mobility and, consequently, powers regional economies ( Greenblatt and Shaheen, 2015 ; Williams et al, 2020 ; Silva et al, 2022 ). On the contrary, it also raised substantial social concerns about policy-making, industry standards, equality of accessibility to unrepresented social groups (i.e., third-world countries, gender or income), insurance costs, and labor-hand reduction with biased accessibility for education to adapt to newer positions ( Bissell et al, 2018 ; Shahedi et al, 2023 ). Still, the social studies in this matter only covered a narrow spike of the whole problem; researchers claimed a need for a more holistic view due to evidence of only attention in the first two topics ( Bissell et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

A survey on 3D object detection in real time for autonomous driving

Contreras,

Jain,

Bhatt

et al. 2024

Front. Robot. AI

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This survey reviews advances in 3D object detection approaches for autonomous driving. A brief introduction to 2D object detection is first discussed and drawbacks of the existing methodologies are identified for highly dynamic environments. Subsequently, this paper reviews the state-of-the-art 3D object detection techniques that utilizes monocular and stereo vision for reliable detection in urban settings. Based on depth inference basis, learning schemes, and internal representation, this work presents a method taxonomy of three classes: model-based and geometrically constrained approaches, end-to-end learning methodologies, and hybrid methods. There is highlighted segment for current trend of multi-view detectors as end-to-end methods due to their boosted robustness. Detectors from the last two kinds were specially selected to exploit the autonomous driving context in terms of geometry, scene content and instances distribution. To prove the effectiveness of each method, 3D object detection datasets for autonomous vehicles are described with their unique features, e. g., varying weather conditions, multi-modality, multi camera perspective and their respective metrics associated to different difficulty categories. In addition, we included multi-modal visual datasets, i. e., V2X that may tackle the problems of single-view occlusion. Finally, the current research trends in object detection are summarized, followed by a discussion on possible scope for future research in this domain.

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“…The MCDM methods have been an active area of research for more than two decades, helping decision-makers provide the exact information concerning performance rankings and respective criteria weights [ 5 , 6 ]. The MCDM methods have been widely employed in difficult engineering situations [ 7 , 8 ], healthcare problems [ 9 , 10 ], automotive sector [ 11 , 12 ], business management [ 13 , 14 ], solar thermal collector optimization [ 15 , 16 ], waste management [ 17 , 18 ], etc. Moreover, these techniques are significant in defining the significance level of different domains and realizing the order of their execution accordingly, as performed by several estimation methods with superior prediction ability [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Singh,

Pathak,

Kumar

et al. 2024

Heliyon

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Barriers to the sustainable adoption of autonomous vehicles in developing countries: A multi-criteria decision-making approach

Cited by 7 publications

References 42 publications

Autonomous Vehicles Perception, Acceptance, and Future Prospects in the GCC: An Analysis Using the UTAUT-Based Model

Autonomous Vehicles Perception, Acceptance, and Future Prospects in the GCC: An Analysis Using the UTAUT-Based Model

A survey on 3D object detection in real time for autonomous driving

A historical review and analysis on MOORA and its fuzzy extensions for different applications

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