Adoption of connected and autonomous vehicles (CAVs) is viewed as one of the vital factors by public and private agencies as benefits are slowly getting quantified with further advancement in technology. From a wide variety of CAV perception and demand estimation studies, the literature lacks the impact of adoption based on an individual's social network and values. In this paper, we utilize an integrated choice and latent variable model to capture individuals' likelihood to adopt level 4 CAVs based on their social values in their peer network using an institutional survey dataset. The model results suggest that households with high income and frequent car buyers are more likely to adopt CAVs. CAV adoption will have a positive influence on an individual's social values among his peers. The proposed framework can be used to provide useful insights for policymakers to quantify consumers' preferences about CAV adoption based on their social values.

公共和私人机构将采用联网无人驾驶汽车（CAV）视为重要因素之一，随着技术的不断进步，收益逐渐被量化。从各种各样的CAV感知和需求估计研究来看，文献缺乏基于个人社交网络和价值观的采用的影响。在本文中，我们利用一个综合的选择和潜在变量模型，利用一个机构调查数据集，根据个人在同伴网络中的社会价值，来捕捉他们采用4级CAV的可能性。模型结果表明，高收入家庭和购车频繁的家庭更可能采用CAV。采用CAV将对同龄人的社会价值观产生积极影响。