Exploring the Role of Attitude in the Acceptance of Self-Driving Shuttles Dataset

Xing, Yan; Handy, Susan L; Circella, Giovanni; Wang, Yunshi; Alemi, Farzad; University of California, Davis, Institute of Transportation Studies; National Center for Sustainable Transportation (NCST)

doi:10.25338/B8532T

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Exploring the Role of Attitude in the Acceptance of Self-Driving Shuttles Dataset

2019-12-23
By Xing, Yan ; Handy, Susan L ; Circella, Giovanni ; ...

[PDF-144.31 KB]

English

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Details:

Creators:

Xing, Yan ; Handy, Susan L ; Circella, Giovanni ; Wang, Yunshi ; Alemi, Farzad

Xing, Yan ; Handy, Susan L ; Circella, Giovanni ; Wang, Yunshi ; Alemi, Farzad Less -
Corporate Creators:

University of California, Davis, Institute of Transportation Studies ; National Center for Sustainable Transportation (NCST)

University of California, Davis, Institute of Transportation Studies ; National Center for Sustainable Transportation (NCST) Less -
Corporate Contributors:

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program Less -
Subject/TRT Terms:

[+]

Acceptance Attitudes Autonomous Vehicles Choice Models Public Opinion Self-driving Shuttle Shuttle Buses Shuttle Service Surveys
DOI:

https://doi.org/10.25338/B8532T
Resource Type:

Dataset
Geographical Coverage:

California ; United States

California ; United States Less -
Corporate Publisher:

University of California, Berkeley. Institute of Transportation Studies ; National Center for Sustainable Transportation

University of California, Berkeley. Institute of Transportation Studies ; National Center for Sustainable Transportation Less -
Abstract:

Self-driving vehicles, as a revolution in mobility, are emerging and developing rapidly. However, public attitudes toward this new unproven technology are still uncertain. Given the significant influence of attitude toward a new technology on the intention to use it, the question arises as to why some people are in favor of this technology whereas others are not. Additionally, questions about the key attitudes influencing self-driving technology acceptance, where these attitudes come from, and how they interact with each other have not yet been addressed. This study aims to explore these research questions based on data collected from people who live or work in the West Village (WV) area of the University of California, Davis (UCD) campus after a self-driving electric shuttle was piloted in this area. Structural Equation Modeling (SEM) was employed to explore interactions between attitude elements. The results show that affect, the core of the concept of attitude, strongly explains the acceptance of self-driving technology. A higher level of affect could be formed by strengthening an individual’s trust. Additionally, trust works as an important mediator between perceived risk, usefulness, and ease of use on both affect and intention to ride self-driving vehicles. Perceived risk captured more security and functional concerns, reflecting uncertainty around current self-driving technology. The model identified important bi-directional influences between trust and affect. Significant effects of mental and physical intangibility were also shown, but each works differently on cognitive beliefs. Individuals’ socio-demographic, lifestyle, and mobility characteristics also exert influences on attitude and self-driving technology acceptance.
Format:

ZIP
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:edbb4fc035cb30b88374d4589e7bb27236d121edf71b5e190d6cd3b0ed584f7a
Download URL:

https://rosap.ntl.bts.gov/view/dot/55699/dot_55699_DS1.pdf
File Type:

Exploring_the_role_of_attitude_in_the_acceptance_of_self-driving_shuttles_Dataset_Metadata.json

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