United States Department of Transportation
i
Using Safe Systems Approach To Assess Traffic Impact and Land Development [supporting dataset]
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2022-12-20
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[JSON-4.45 KB]
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Abstract:Traffic impact analysis (TIA) is an important piece of transportation planning, design, and construction. The practice is conventionally deployed as a means to minimize and mitigate the traffic congestion impacts of new development by tying roadway capacity improvements to land development permits. Many city and state governments view the TIA process as a critical means of generating needed infrastructure improvements, and its use has become ubiquitous among DOTs across the US. However, there is a paucity of research into the relationship between land development and road safety outcomes.
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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:
Combs, Tab; Dumbaugh, Eric; LaJeunesse, Seth; Kumfer, Wesley J.; Saginor, Jesse, 2022, "Using safe systems approach to assess traffic impact and land development [R35]", https://doi.org/10.15139/S3/XPYAWV, UNC Dataverse
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