Exploring motivating factors and constraints of using and adoption of shared autonomous vehicles (SAVs)
Self-driving vehicles are expected to reduce mobility barriers; however, it is still unclear how individuals will use them and how they will benefit the urban transportation system overall. This research aims to evaluate self-driving technology diffusion by applying and testing a conceptual model th...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-03-01
|
| Series: | Transportation Research Interdisciplinary Perspectives |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590198223000416 |
| _version_ | 1797860334317338624 |
|---|---|
| author | Roya Etminani-Ghasrodashti Sharareh Kermanshachi Jay Michael Rosenberger Ann Foss |
| author_facet | Roya Etminani-Ghasrodashti Sharareh Kermanshachi Jay Michael Rosenberger Ann Foss |
| author_sort | Roya Etminani-Ghasrodashti |
| collection | DOAJ |
| description | Self-driving vehicles are expected to reduce mobility barriers; however, it is still unclear how individuals will use them and how they will benefit the urban transportation system overall. This research aims to evaluate self-driving technology diffusion by applying and testing a conceptual model that was designed to unpack the possible determinants of the adoption of shared autonomous vehicles (SAVs). The study framework was developed based on the principles of socio-psychological theories of human behavior and investigates the adoption of SAVs by two groups of people: users and non-users. Structural equation modeling (SEM) was utilized to analyze the effects of motivational and restriction-related factors on SAV use and adoption, and the results indicated that perceived usefulness and restriction-related factors can positively motivate individuals to use SAVs more frequently. Ultimately, however, their adoption will depend on the public’ attitudes towards technology and as their perceptions of the inherent risks. This study provides new insights into the identification of potential SAV users and non-users and shows how their behavioral intentions differ. |
| first_indexed | 2024-04-09T21:44:11Z |
| format | Article |
| id | doaj.art-1ff7c9ebce454e02b30912f5fdace12a |
| institution | Directory Open Access Journal |
| issn | 2590-1982 |
| language | English |
| last_indexed | 2024-04-09T21:44:11Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Transportation Research Interdisciplinary Perspectives |
| spelling | doaj.art-1ff7c9ebce454e02b30912f5fdace12a2023-03-25T05:15:18ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822023-03-0118100794Exploring motivating factors and constraints of using and adoption of shared autonomous vehicles (SAVs)Roya Etminani-Ghasrodashti0Sharareh Kermanshachi1Jay Michael Rosenberger2Ann Foss3Texas A&M Transportation Institute, Dallas, TX, United StatesDepartment of Civil Engineering, University of Texas at Arlington, Arlington, TX 76019, United States; Corresponding author.Department of Industrial, Manufacturing, and Systems Engineering, University of Texas at Arlington, Arlington, TX 76019, United StatesOffice of Strategic Initiatives, City of Arlington, 101 W. Abram St., Arlington, TX 76010, United StatesSelf-driving vehicles are expected to reduce mobility barriers; however, it is still unclear how individuals will use them and how they will benefit the urban transportation system overall. This research aims to evaluate self-driving technology diffusion by applying and testing a conceptual model that was designed to unpack the possible determinants of the adoption of shared autonomous vehicles (SAVs). The study framework was developed based on the principles of socio-psychological theories of human behavior and investigates the adoption of SAVs by two groups of people: users and non-users. Structural equation modeling (SEM) was utilized to analyze the effects of motivational and restriction-related factors on SAV use and adoption, and the results indicated that perceived usefulness and restriction-related factors can positively motivate individuals to use SAVs more frequently. Ultimately, however, their adoption will depend on the public’ attitudes towards technology and as their perceptions of the inherent risks. This study provides new insights into the identification of potential SAV users and non-users and shows how their behavioral intentions differ.http://www.sciencedirect.com/science/article/pii/S2590198223000416Autonomous vehiclesPerceived usefulnessPerceived risksAttitudes |
| spellingShingle | Roya Etminani-Ghasrodashti Sharareh Kermanshachi Jay Michael Rosenberger Ann Foss Exploring motivating factors and constraints of using and adoption of shared autonomous vehicles (SAVs) Transportation Research Interdisciplinary Perspectives Autonomous vehicles Perceived usefulness Perceived risks Attitudes |
| title | Exploring motivating factors and constraints of using and adoption of shared autonomous vehicles (SAVs) |
| title_full | Exploring motivating factors and constraints of using and adoption of shared autonomous vehicles (SAVs) |
| title_fullStr | Exploring motivating factors and constraints of using and adoption of shared autonomous vehicles (SAVs) |
| title_full_unstemmed | Exploring motivating factors and constraints of using and adoption of shared autonomous vehicles (SAVs) |
| title_short | Exploring motivating factors and constraints of using and adoption of shared autonomous vehicles (SAVs) |
| title_sort | exploring motivating factors and constraints of using and adoption of shared autonomous vehicles savs |
| topic | Autonomous vehicles Perceived usefulness Perceived risks Attitudes |
| url | http://www.sciencedirect.com/science/article/pii/S2590198223000416 |
| work_keys_str_mv | AT royaetminanighasrodashti exploringmotivatingfactorsandconstraintsofusingandadoptionofsharedautonomousvehiclessavs AT shararehkermanshachi exploringmotivatingfactorsandconstraintsofusingandadoptionofsharedautonomousvehiclessavs AT jaymichaelrosenberger exploringmotivatingfactorsandconstraintsofusingandadoptionofsharedautonomousvehiclessavs AT annfoss exploringmotivatingfactorsandconstraintsofusingandadoptionofsharedautonomousvehiclessavs |