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.
裘梦琪，周竹萍，梅亚岚
. Pedestrian Acceptance of Fully Autonomous Vehicles Based on Pedestrian Behavior and Optimized CTAM Model[J]. Transport Research, 2021
, 7(4)
: 18
-26
.
DOI: 10.16503/j.cnki.2095-9931.2021.04.003
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