Developing a Pedestrian Safety Performance Function for Oregon
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2026-01-01
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Edition:Final Report
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Abstract:This report details the development of a pedestrian safety performance function (SPF) for intersections in urban areas in the state of Oregon. The report documents the process to develop SPFs for pedestrian crashes including the process to develop the data for analysis. A key innovation of this work is the use of pedestrian traffic volume estimates from traffic signals push button actuations. These data and other pedestrian traffic volume data collected through traditional methods are utilized in a machine learning data fusion model to estimate pedestrian volumes for all intersections in Oregon urban areas. SPFs are constructed for various intersection types with different traffic control. Crash prediction models using estimates of pedestrian volumes and also proxies for pedestrian volume are compared to give agencies a sense of how models perform with better pedestrian volume data.
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Main Document Checksum:urn:sha-512:23b70dfeb7a48799efc7a7506adc839d7a8fc4e1e60a1f3f25aba274e85562a36c856f474f302502b8ccfe7ed31ccd469ee6f2a0daa6f01c63079817c783de37
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