United States Department of Transportation
i
Promoting Inclusive Design and Deployment of Connected and Automated Vehicles for Older Adults Through Education and Training of Engineering Students and Older Drivers [supporting dataset]
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2023-09-27
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[JSON-7.78 KB]
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Alternative Title:Promoting Inclusive Design and Deployment of Connected and Automated Vehicles for Older Adults Through Education of Engineering Students
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Abstract:The development of connected and automated vehicles (CAVs) holds promise for reducing traffic crashes and maintaining mobility among older adults. Challenges remain, however, in ensuring that CAVs are accessible, acceptable, affordable, and otherwise inclusive for older adults. The objective of this project was to increase graduate students’ awareness of and sensitivity to these issues, using a framework of experiential learning. The project provided an opportunity for University of Michigan (U-M) students enrolled in a graduate course on human-centered design and engineering to be involved in all four aspects of experiential learning – exploring, engaging, reflecting, and communicating – to meet the project objective. The project involved several primary tasks: 1) completion of a research synthesis on older adults and CAVs by the project team; 2) discussions between the project team and older adults themselves (termed community engagement); 3) presentations by the project team to students in the class on the project background, findings from the research synthesis and community engagement, and an industry perspective on older adults and CAVs; 4) implementation of student classroom projects on older adults and CAVs as part of their regular course curriculum; 5) development of posters by the students highlighting their classroom projects; 6) presentation of the posters by the students in a formal poster session at the University of Michigan Transportation Research Institute targeted to U-M faculty and staff, representatives from industry, and other undergraduate and graduate students; 7) evaluation through pre- and post-surveys of students to measure changes in knowledge about older adults and CAVs; and 8) development of a set of recommendations for future efforts to train and educate students in this area, as well as the design and deployment of CAVs themselves. The project dataset includes the reference list of documents/websites reviewed during the literature search (.docx), field notes from older adult nominal groups and focus groups (.docx), voting results from older adults nominal groups (.docx), coding tables from older adult focus groups (.docx), pre- and post-data from surveys of engineering students (.csv), and data dictionaries from surveys of engineering students (.docx).
The total size of the zip file is 319 KB. The .csv, Comma Separated Value, file is a simple format that is designed for a database table and supported by many applications. The .csv file is often used for moving tabular data between two different computer programs, due to its open format. The most common software used to open .csv files are Microsoft Excel and RecordEditor, (for more information on .csv files and software, please visit https://www.file-extensions.org/csv-file-extension). The .docx file is a Microsoft Word file, which can be opened with Word and other free word processor programs, such as Kingsoft Writer, OpenOffice Writer, Apache OpenOffice, and ONLYOFFICE.
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Content Notes:National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. This dataset has been curated to CoreTrustSeal's curation level "C. Initial Curation." To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.8083359). NTL staff last accessed this dataset at its repository URL on 2024-04-10. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
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