为了解行人对全自动驾驶车辆的接受度，确定影响接受度的关键因素，掌握行人对全自动驾驶技术的关注点，首先，建立优化后的车辆技术接受模型（Car Technology Acceptance Model, CTAM），基于此模型和现场调研观测到的行人行为设计调查问卷，从个体属性、行人行为和行人对自动驾驶车辆技术接受度3方面对行人展开随机调查。然后，采用有序Logit模型，运用问卷数据标定模型参数，筛选出行人对全自动驾驶车辆接受度的关键影响因素。结果表明，行人对全自动驾驶车辆的接受度与居住区、出行次数、过失行为、兼容性、态度及信任有关，且车辆技术接受模型中的感知有用性和感知易用性变量衡量越好，行人对全自动驾驶车辆接受度越高。
In order to understand pedestrians′ acceptance of fully autonomous vehicles, determine the key factors affecting acceptance, and grasp pedestrians′ concerns about fully automatic driving technology, an optimized car technology acceptance model (CTAM) was established firstly. A questionnaire was designed based on the CTAM and pedestrians′ behavior observed in field investigation, and pedestrians were randomly investigated from three aspects of individual attributes, pedestrians′ behaviors and pedestrians′ acceptance of autonomous vehicle technology. Then, the ordered logit model was used to calibrate model parameters with the questionnaire data to screen out the key factors affecting pedestrians′ acceptance of fully autonomous vehicles. The results show that the acceptance of fully autonomous vehicles is related to residential area, number of trips, negligent behavior, compatibility, attitude and trust. The better the variables of perceived usefulness and perceived ease of use in the vehicle technology acceptance model are measured, the higher the pedestrians' acceptance of fully autonomous vehicles.
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