Health Perception on the Adoption and Acceptance of Shared Mobility: From Now to Future
| 项目名称： | Health Perception on the Adoption and Acceptance of Shared Mobility: From Now to Future |
| 摘要： | The study will focus on establishing the link between transportation choices, self-assessed health and body mass index (BMI). It will identify measures of health perception, health self-assessment as ways of collecting information predicting travel behavior focused on shared mobility systems. It aims to explore the method of developing health perception and self-assessment metric in a setting of transportation decisions. The project�s objective is to better understand how health perception and self-assessment affects the choice of using bike sharing systems and how it affects acceptance of SAV as well as to understand if the usage of bike sharing system leads to the favor of adoption of SAV. If the link between the self-assessed heath, height, weight and/or BMI is determined to be significant, health variables may become standard in mode choice and travel behavior analysis in the future. |
| 状态： | Completed |
| 资金： | 48013 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | USDOT/OST-R |
| 项目负责人： | Kline, Robin |
| 执行机构： | University of South Florida, Tampa |
| 主要研究人员： | Lewis Jr, Neil A |
| 开始时间： | 20171001 |
| 预计完成日期： | 20180930 |
| 实际结束时间： | 20180930 |
相关文献
- Barriers and Facilitators of People with Disabilities in Accepting and Adopting Autonomous Shared Mobility Services (Project A5)
- Public Acceptance and Socio-Economic Analysis of Shared Autonomous Vehicles: Implications for Policy and Planning
- Micro-Mobility Promises and Challenges in the Pacific Northwest
- Impacts and Adoption of Connected Autonomous Vehicles in Tennessee
- Positioning and Localization Sensor Data Sets for Aerial Autonomy Research
- A Data-driven and Model-based Approach for Assessing the Potential of Electric Vehicle Adoption and Corresponding Reduction in Energy Use and Emissions: A Case Study in Georgia
检索历史
应用推荐
