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An Enhanced Systemic Approach to Road Safety [supporting dataset]
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2021-12-14
[JSON-10.47 KB]
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Abstract:The traditional, transportation safety management approach involves the identification of crash hotspots, in which public agencies prioritize locations eligible for safety improvements based on historical collision concentrations. This report presents an enhanced systemic approach which consists of targeting blanket improvements at sites across a road network based on specific roadway features that are associated with a particular crash type. The systemic approach uses historical crash data to identify the type of roadways that suffer from recurring safety concerns, designating it as reactive to data, but also provides a mechanism to make improvements to sites that have not experienced many—or any—crashes in a proactive manner. The systemic approach is a flexible, data-driven methodology that aims to identify recurring safety concerns by identifying the crash profiles that are associated with certain roadway features. The analysis takes the form of a transparent systemic crash matrix that shows what types of crashes occur on what types of facilities, with rows representing crash characteristics and columns corresponding to facility types. Using such a matrix provides agencies with a snapshot of systemic problems within their networks, which is both easy to assemble and to interpret, thus overcoming potential barriers to changes in road safety management due to limited institutional capacity or financial means. The framework set by the systemic approach is flexible enough to allow agencies with varying degrees of data availability to implement it—regardless of the level of performance their data management systems—and with different safety priorities.
The total size of the zip file is 9.3 MB. The .ipynb file type is a document file created in Jupyter Notebook. These files store browser-based notebooks with support for code, rich text, mathematical expressions, inline plots and other rich media. These files can be opened using the open-source application Jupyter Notebook (for more information on .ipynb files and software, please visit https://www.file-extensions.org/ipynb-file-extension). 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:
Grembeck, Offer; Thomas, Libby, 2021, "An enhanced systemic approach to safety [R2]", https://doi.org/10.15139/S3/IBKHYV, UNC Dataverse
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