United States Department of Transportation
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Developing Countermeasures to Decrease Pedestrian Deaths [Supporting Dataset]
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2021-12-01
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Alternative Title:ped-crash-techvol: Texas Ped Crash Tech Volume Pack [Dataset Title];Identifying Risk Factors that Lead to Increase in Fatal Pedestrian Crashes and Developing Countermeasures to Reverse the Trend [Project Title];
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Abstract:In efforts to reverse the rising rate of pedestrian-related crashes in Texas, researchers analyze crash data to determine common causes and effective countermeasures. Extensive use of visualizations, regression models, advanced tree-based analysis, and geographic information system (GIS)-based data management adds insight. Significant variables include roadway characteristics, transit stops, population, job density, time of day, as well as regional average income and homelessness. Researchers demonstrate a methodology for identifying Texas’ corridors with the highest crash rates, strategically choosing proven treatments, and calculating benefit-cost ratios. This is documented in a guidebook that is approachable for practitioners and managers at all levels of government. Examples of treatments proposed for the 10 most crash-prone corridors in Texas indicate favorable benefit-cost ratios. This warrants comprehensive use of the analysis methodology across Texas in expectation of significant reduction in pedestrian-related fatalities and injuries. The total size of the described zip file is 589 KB. Python Files hold python project. They can be opened using open source software such as PyCharm. File extension .md is used in creating GitHub Issues and can be opened in a basic text editor. PNG files can be opened using the system's photo viewer.
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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. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2022-11-11. 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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