英文标题：
《A Multicriteria Decision Making Approach to Study the Barriers to the
  Adoption of Autonomous Vehicles》
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作者：
Alok Raj, J Ajith Kumar, Prateek Bansal
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最新提交年份：
2019
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英文摘要：
  The automation technology is emerging, but the adoption rate of autonomous vehicles (AV) will largely depend upon how policymakers and the government address various challenges such as public acceptance and infrastructure development. This study proposes a five-step method to understand these barriers to AV adoption. First, based on a literature review followed by discussions with experts, ten barriers are identified. Second, the opinions of eighteen experts from industry and academia regarding inter-relations between these barriers are recorded. Third, a multicriteria decision making (MCDM) technique, the grey-based Decision-making Trial and Evaluation Laboratory (Grey-DEMATEL), is applied to characterize the structure of relationships between the barriers. Fourth, robustness of the results is tested using sensitivity analysis. Fifth, the key results are depicted in a causal loop diagram (CLD), a systems thinking approach, to comprehend cause-and-effect relationships between the barriers. The results indicate that the lack of customer acceptance (LCA) is the most prominent barrier, the one which should be addressed at the highest priority. The CLD suggests that LCA can be rather mitigated by addressing two other prominent, yet more tangible, barriers -- lack of industry standards and the absence of regulations and certifications. The study\'s overarching contribution thus lies in bringing to fore multiple barriers to AV adoption and their potential influences on each other. Moreover, the insights from this study can help associations related to AVs prioritize their endeavors to expedite AV adoption. From the methodological perspective, this is the first study in transportation literature that integrates Grey-DEMATEL with systems thinking.
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中文摘要：
自动化技术正在兴起，但自动驾驶汽车（AV）的采用率将在很大程度上取决于决策者和政府如何应对各种挑战，如公众接受度和基础设施发展。这项研究提出了一个五步方法来理解这些AV采用障碍。首先，根据文献回顾和专家讨论，确定了十大障碍。其次，记录了18位来自行业和学术界的专家关于这些壁垒之间相互关系的意见。第三，采用多准则决策（MCDM）技术，即基于灰色的决策试验和评估实验室（grey DEMATEL），来描述障碍之间关系的结构。第四，使用敏感性分析测试结果的稳健性。第五，关键结果在因果循环图（CLD）中描述，这是一种系统思维方法，用于理解障碍之间的因果关系。结果表明，缺乏客户接受（LCA）是最突出的障碍，应优先解决这一障碍。CLD建议，通过解决另外两个突出但更具体的障碍——缺乏行业标准以及缺乏法规和认证，LCA可以得到相当程度的缓解。因此，这项研究的主要贡献在于突出了AV采用的多重障碍及其相互之间的潜在影响。此外，本研究的见解可以帮助与AVs相关的协会优先考虑加快AV采用的努力。从方法论的角度来看，这是交通文献中首次将灰色DEMATEL与系统思维相结合的研究。
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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