How do college students perceive future shared mobility with autonomous Vehicles? A survey of the University of Alabama students
University students are young, open to new technologies, and their perceptions of the Shared Autonomous Vehicles (SAVs) may indicate their travel behaviors in the future. College towns in small urban or suburban areas offer researchers a unique environment to understand the travel behaviors of futur...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2022-06-01
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| Series: | International Journal of Transportation Science and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2046043021000940 |
| _version_ | 1827844655087091712 |
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| author | Xing Fu Qifan Nie Jun Liu Zihe Zhang Steven Jones |
| author_facet | Xing Fu Qifan Nie Jun Liu Zihe Zhang Steven Jones |
| author_sort | Xing Fu |
| collection | DOAJ |
| description | University students are young, open to new technologies, and their perceptions of the Shared Autonomous Vehicles (SAVs) may indicate their travel behaviors in the future. College towns in small urban or suburban areas offer researchers a unique environment to understand the travel behaviors of future commuters, and test emerging mobility services, such as SAVs. The study performs a survey with the aim of understanding university student perception regarding SAVs. The survey was conducted among the University of Alabama students in Tuscaloosa. The key survey questions include their knowledge and attitudes about AV and shared mobility. The results showed 97% of respondents are aware of AVs, but only 41% know specific automation technologies. As for shared mobility services, 98% of respondents are familiar with Uber and Lyft services. The survey also asked survey participants to indicate their Willingness-To-Pay (WTP) for hypothetical SAV services in three price scenarios. The prices were assumed as relative to the cost of using ride-hailing services with human drivers such as Uber and Lyft. Random parameter ordered logit models were developed to uncover the correlates of the WTP for SAV services. The models identified significant relationships between the WTP and various factors related to respondents’ socio-demographics, awareness of AV companies, and experiences with human-driver ride-hailing services. The awareness of AV companies and ride-hailing services is positively related to the WTP for SAV services. Students who know more AV companies appear to have a greater WTP, and students who are heavy users of Uber or Lyft services are also likely to SAV users in the future. Significant variations were also found in model estimates, indicating that some relationships could vary significantly across observations due to the unobserved heterogeneity. The findings offer insights to decision-makers and investors trying to estimate the market potential of emerging mobility services with AVs. |
| first_indexed | 2024-03-12T08:44:59Z |
| format | Article |
| id | doaj.art-8c2730a8c9524b30913d76a3569778e3 |
| institution | Directory Open Access Journal |
| issn | 2046-0430 |
| language | English |
| last_indexed | 2024-03-12T08:44:59Z |
| publishDate | 2022-06-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | International Journal of Transportation Science and Technology |
| spelling | doaj.art-8c2730a8c9524b30913d76a3569778e32023-09-02T16:29:37ZengKeAi Communications Co., Ltd.International Journal of Transportation Science and Technology2046-04302022-06-01112189204How do college students perceive future shared mobility with autonomous Vehicles? A survey of the University of Alabama studentsXing Fu0Qifan Nie1Jun Liu2Zihe Zhang3Steven Jones4Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL 35487, United StatesAlabama Transportation Institute, The University of Alabama, Tuscaloosa, AL 35487, United StatesDepartment of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL 35487, United States; Corresponding author.Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL 35487, United StatesDepartment of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL 35487, United States; Alabama Transportation Institute, The University of Alabama, Tuscaloosa, AL 35487, United StatesUniversity students are young, open to new technologies, and their perceptions of the Shared Autonomous Vehicles (SAVs) may indicate their travel behaviors in the future. College towns in small urban or suburban areas offer researchers a unique environment to understand the travel behaviors of future commuters, and test emerging mobility services, such as SAVs. The study performs a survey with the aim of understanding university student perception regarding SAVs. The survey was conducted among the University of Alabama students in Tuscaloosa. The key survey questions include their knowledge and attitudes about AV and shared mobility. The results showed 97% of respondents are aware of AVs, but only 41% know specific automation technologies. As for shared mobility services, 98% of respondents are familiar with Uber and Lyft services. The survey also asked survey participants to indicate their Willingness-To-Pay (WTP) for hypothetical SAV services in three price scenarios. The prices were assumed as relative to the cost of using ride-hailing services with human drivers such as Uber and Lyft. Random parameter ordered logit models were developed to uncover the correlates of the WTP for SAV services. The models identified significant relationships between the WTP and various factors related to respondents’ socio-demographics, awareness of AV companies, and experiences with human-driver ride-hailing services. The awareness of AV companies and ride-hailing services is positively related to the WTP for SAV services. Students who know more AV companies appear to have a greater WTP, and students who are heavy users of Uber or Lyft services are also likely to SAV users in the future. Significant variations were also found in model estimates, indicating that some relationships could vary significantly across observations due to the unobserved heterogeneity. The findings offer insights to decision-makers and investors trying to estimate the market potential of emerging mobility services with AVs.http://www.sciencedirect.com/science/article/pii/S2046043021000940Shared mobilityAutonomous vehiclesShared autonomous vehiclesSurveyUniversity students |
| spellingShingle | Xing Fu Qifan Nie Jun Liu Zihe Zhang Steven Jones How do college students perceive future shared mobility with autonomous Vehicles? A survey of the University of Alabama students International Journal of Transportation Science and Technology Shared mobility Autonomous vehicles Shared autonomous vehicles Survey University students |
| title | How do college students perceive future shared mobility with autonomous Vehicles? A survey of the University of Alabama students |
| title_full | How do college students perceive future shared mobility with autonomous Vehicles? A survey of the University of Alabama students |
| title_fullStr | How do college students perceive future shared mobility with autonomous Vehicles? A survey of the University of Alabama students |
| title_full_unstemmed | How do college students perceive future shared mobility with autonomous Vehicles? A survey of the University of Alabama students |
| title_short | How do college students perceive future shared mobility with autonomous Vehicles? A survey of the University of Alabama students |
| title_sort | how do college students perceive future shared mobility with autonomous vehicles a survey of the university of alabama students |
| topic | Shared mobility Autonomous vehicles Shared autonomous vehicles Survey University students |
| url | http://www.sciencedirect.com/science/article/pii/S2046043021000940 |
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