{ "$schema": "https://resources.data.gov/schemas/dcat-us/v1.1/schema/catalog.json", "conformsTo": "https://project-open-data.cio.gov/v1.1/schema", "@type": "dcat:Catalog", "@context": "https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld", "dataset": [ { "accessLevel": "public", "@type": "dcat:Dataset", "bureauCode": [ "021:04" ], "contactPoint": { "fn": "National Transportation Library Data Curator", "hasEmail": "mailto:ntldatacurator@dot.gov", "@type": "vcard:Contact" }, "dataQuality": true, "description": "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.", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.15139/S3/XPYAWV", "description": "This is the de-identified, final transcripts for this project. It is in PDF format.", "format": "PDF", "mediaType": "application/pdf", "title": "R35_transcripts_redacted_2019.pdf" } ], "format": "ZIP", "identifier": "https://doi.org/10.15139/S3/XPYAWV", "isPartOf": "https://doi.org/10.21949/1530855", "issued": "2022-12-20", "keyword": [ "Development", "Forecasting", "Highway safety", "Impacts", "Innovation", "Land use", "Procedures", "Traffic volume" ], "landingPage": "https://doi.org/10.15139/S3/XPYAWV", "language": [ "en-US" ], "license": "https://creativecommons.org/publicdomain/zero/1.0/", "modified": "2022-12-20", "policyStatement": "This dataset was made public under the requirements enumerated in the U.S. Department of Transportation's 'Plan to Increase Public Access to the Results of Federally-Funded Scientific Research' Version 1.1 << https://doi.org/10.21949/1520559 >> and guidelines suggested by the DOT Public Access website << https://doi.org/10.21949/1503647  >>, in effect and current as of December 03, 2020.", "policyURL": "https://doi.org/10.21949/1520559 , https://doi.org/10.21949/1503647", "programCode": [ "021:053" ], "publisher": { "@type": "org:Organization", "name": "Collaborative Sciences Center for Road Safety (CSCRS) University Transportation Center (UTC)", "subOrganizationOf": { "@type": "org:Organization", "name": "University of North Carolina at Chapel Hill", "subOrganizationOf": { "@type": "org:Organization", "name": "University Transportation Center (UTC) Program", "subOrganizationOf": { "@type": "org:Organization", "name": "Department of Transportation", "subOrganizationOf": { "@type": "org:Organization", "name": "U.S. Government" } } } } }, "references": [ "https://rosap.ntl.bts.gov/view/dot/72500" ], "rights": "This dataset is open access per USDOT funding. No restrictions on access or use. Users may share, copy, and redistribute in any medium.", "spatial": "United States", "title": "Using Safe Systems Approach To Assess Traffic Impact and Land Development [supporting dataset]", "webService": null } ] }