United States Department of Transportation
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Structure of Stakeholder Relationships in Making Road Safety Decisions [supporting dataset]
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2020-04-16
[JSON-6.65 KB]
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Alternative Title:Structures of Stakeholder Relationships in Making Road Safety Decisions
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Corporate Creators:University of North Carolina at Chapel Hill. Highway Safety Research Center ; University of North Carolina at Chapel Hill. Injury Prevention Research Center ; University of California, Berkeley. Safe Transportation Research and Education Center ; University of California, Berkeley. Department of Civil Engineering ; Collaborative Sciences Center for Road Safety
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Abstract:Traffic fatalities on U.S. roadways have risen in recent years. Researchers surmise that secular trends such as an aging population, migration to urban areas, rising use of high-profile sports utility vehicles (SUVs) and trucks, and rates of opioid use and abuse, among others, all interact in complex ways to produce traffic injuries and deaths. To uncover and accelerate productive cross-sector collaboration and effective safety countermeasure implementation, the R1 project research team drew upon Diffusion of Innovations theory and strategies to “design for diffusion” to devise a three-phase exploratory study. In the project’s first phase, the team surveyed a diverse group of road safety professionals to assess their awareness and involvement in Vision Zero programming and to identify U.S. municipalities that serve as opinion leaders in road safety. In the second phase, the team carried out a content analysis of early-adopting cities’ Vision Zero action plans in the interest of learning how cities frame their safety issues and how they propose to address them. In the third and final phase of this project, the research team interviewed professionals working in opinion-leading U.S. cities to understand respondents’ relationships with other organizations in their cities’ Vision Zero coalitions in terms of these relationships’ frequency, patterns of sharing, and perceived productivity. Through these phases, the team was able to identify several opinion-leading and boundary-spanning U.S. cities, all of which operated Vision Zero programs. The team also elucidated the structure and function of two of the opinion-leading cities’ Vision Zero coalitions. Findings from this project provide direction for future research and road safety intervention work.
The total size of the zip file is 5.2 MB. 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).
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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.11476980). NTL staff last accessed this dataset at its repository URL on 2024-10-21. 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.
Public Access Note: This item is made available under the terms of the Creative Commons Attribution 1.0 Universal (CC0 1.0) license https://creativecommons.org/publicdomain/zero/1.0/. Use the following citation:
LaJeunesse, Seth; Marshall, Steve, 2020, "Structures of stakeholder relationships in making road safety decisions [R1]", https://doi.org/10.15139/S3/8UQU7T, UNC Dataverse
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