Understanding the Influence of Behavioral Intention for Using an Electric Carsharing System: Hierarchical Hybrid Choice Model
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 150, Issue 10
Abstract
An electric carsharing system (ECS) is a crucial component in the development of a sustainable transportation system. Understanding user behavior toward ECS is essential for successfully implementing such a service. This study investigates the impact of behavioral intentions to use ECS and its determinants on traveler mode choice behavior. A hierarchical hybrid choice model is constructed to analyze the relationship between behavioral intentions and the willingness to choose ECS. The study collected data from 771 respondents in Dalian City, China. The results highlight the importance of behavioral intentions and their constructs, such as performance expectancy, effort expectancy, hedonic motivation, and familiarity with the ECS concept in influencing individuals’ willingness to choose ECS. Additionally, ECS attributes and social characteristics also significantly affect individuals’ decisions. These findings provide valuable insights for researchers and policymakers to promote ECS effectively.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This study is supported by the National Natural Science Foundation of China, Grant No. 51478085.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 150 • Issue 10 • October 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Jan 29, 2024
Accepted: May 23, 2024
Published online: Aug 7, 2024
Published in print: Oct 1, 2024
Discussion open until: Jan 7, 2025
ASCE Technical Topics:
- Architectural engineering
- Building systems
- Business management
- Data collection
- Electrical systems
- Engineering fundamentals
- Human and behavioral factors
- Hybrid methods
- Infrastructure
- Methodology (by type)
- Practice and Profession
- Research methods (by type)
- Sustainable development
- Traffic engineering
- Transportation engineering
- Travel modes
- Travel patterns
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