Public Acceptance towards Emerging Autonomous Vehicle Technology: A Bibliometric Research

被引:17
作者
Ho, Jen Sim [1 ]
Tan, Booi Chen [1 ]
Lau, Teck Chai [2 ]
Khan, Nasreen [1 ]
机构
[1] Multimedia Univ, Fac Management, Persiaran Multimedia, Cyberjaya 63100, Malaysia
[2] Taylors Univ, Fac Business & Law, Sch Mkt & Management, 1 Jalan Taylors, Subang Jaya 47500, Malaysia
关键词
autonomous vehicle; public acceptance; research trends; bibliometric techniques; AUTOMATED VEHICLES; DRIVES PEOPLE; TRUST; TRANSPORT; ADOPTION; WILLINGNESS; PREFERENCES; PERCEPTIONS; COCITATION; ATTITUDES;
D O I
10.3390/su15021566
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:18
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共 94 条
[1]  
Abe G., 2002, IFAC PROC VOL, V35, P363, DOI [10.3182/20020721-6-ES-1901.01614, DOI 10.3182/20020721-6-ES-1901.01614]
[2]   Capturing the behavioural determinants behind the adoption of autonomous vehicles: Conceptual frameworks and measurement models to predict public transport, sharing and ownership trends of self-driving cars [J].
Acheampong, Ransford A. ;
Cugurullo, Federico .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2019, 62 :349-375
[3]   How much should a pedestrian be fined for intentionally blocking a fully automated vehicle? A random parameters beta hurdle model with heterogeneity in the variance of the beta distribution [J].
Afghari, Amir Pooyan ;
Papadimitriou, Eleonora ;
Li, Xiaomeng ;
Kaye, Sherrie-Anne ;
Oviedo-Trespalacios, Oscar .
ANALYTIC METHODS IN ACCIDENT RESEARCH, 2021, 32
[4]   A systematic literature review of the factors influencing the adoption of autonomous driving [J].
Alawadhi, Mohamed ;
Almazrouie, Jumah ;
Kamil, Mohammed ;
Khalil, Khalil Abdelrazek .
INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2020, 11 (06) :1065-1082
[5]   Driver-centred vehicle automation: using network analysis for agent-based modelling of the driver in highly automated driving systems [J].
Banks, Victoria A. ;
Stanton, Neville A. .
ERGONOMICS, 2016, 59 (11) :1442-1452
[6]   Forecasting Americans' long-term adoption of connected and autonomous vehicle technologies [J].
Bansal, Prateek ;
Kockelman, Kara M. .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2017, 95 :49-63
[7]   Assessing public opinions of and interest in new vehicle technologies: An Austin perspective [J].
Bansal, Prateek ;
Kockelman, Kara M. ;
Singh, Amit .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 67 :1-14
[8]  
Barnatt C., 2001, J GEN MANAG, V27, P1
[9]   Behavioural intention to use fully autonomous vehicles: Instrumental, symbolic, and affective motives [J].
Benleulmi, Ahmed Ziad ;
Ramdani, Boumediene .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2022, 86 :226-237
[10]   Willingness of people who are blind to accept autonomous vehicles: An empirical investigation [J].
Bennett, Roger ;
Vijaygopal, Rohini ;
Kottasz, Rita .
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2020, 69 :13-27