| Project/Area Number |
19K23536
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Multi-year Fund |
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| Review Section |
0303:Civil engineering, social systems engineering, safety engineering, disaster prevention engineering, and related fields
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| Research Institution | Hiroshima University |
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Principal Investigator |
姜 影 広島大学, 医系科学研究科(保), 助教 (90850157)
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| Project Period (FY) |
2019-08-30 – 2021-03-31
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| Project Status |
Discontinued (Fiscal Year 2020)
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| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2020: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | Nudge theory / driving safety / traffic accident / travel behavior / safety / mobility / elderly / nudge / autonomous vehicles |
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| Outline of Research at the Start |
This study will explore how to make use of the opportunities provided by the development of AVs to dramatically reduce elderly people's traffic accidents by considering the connection between travel behavior and health conditions. Voluntary behavioral change toward a safer mobility will be targeted.
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| Outline of Annual Research Achievements |
Recognizing the great influence of daily activity on traffic safety, this study aims to clarify how elderly people's traffic accident involvement could be decreased through an interdisciplinary perspective of travel behavior and health care. Based on the nudge theory, people's safe driving patterns are analyzed through 90 evidence-based items from a questionnaire data. As the original plan, the raw data cleaning and processing have been finished with some preliminary analysis results. Empirical correlations between elderly people's driving safety and AVs preference have been identified. Next step, efforts that focusing on elderly people's travel behavior and health care will be conducted.
Unfortunately, this project is terminated due to my career shifting under the COVID19 influence
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