Systemic Pedestrian Safety Analysis (2018) / Chapter Skim
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Pages 57-61
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From page 57... ...
57 Background and Motivation To help realize its Vision Zero goal, Seattle DOT developed a series of pedestrian SPFs to help establish a more comprehensive approach for reducing pedestrian crashes throughout the city. Prior to the development of these SPFs, Seattle DOT employed a series of traditional crash frequency-based approaches to identify hot spot locations experiencing a high number of pedestrian crashes.
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From page 58... ...
58 Systemic Pedestrian Safety Analysis and analysts decided to analyze all types of pedestrian crashes at intersections in lieu of leftturning-only crashes, as well as the more severe subset of crashes involving motorists traveling straight through. Step 2: Compile Data To develop its SPFs, Seattle DOT relied on a comprehensive relational crash and roadway database that incorporates spatial linkages between crashes and roadway segments, or intersections.
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From page 59... ...
Case Example 1: Seattle Department of Transportation 59 Step 3: Determine Risk Factors Limited pedestrian count data were available prior to the analysis but short-term counts were available for about 50 intersections across the city. Ballpark pedestrian and bicycle volume estimates were developed by modeling the count data and associated location characteristics.
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From page 60... ...
60 Systemic Pedestrian Safety Analysis sites, since this estimate helps to account for missing variables. These estimates are described in Step 6 in the main text.
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From page 61... ...
Case Example 1: Seattle Department of Transportation 61 was able to justify implementing turning restrictions at an intersection that did not quite meet the City's warrants for this improvement based on auto crashes alone. Seattle is working on various data improvements, including improvements to both traffic and pedestrian volume data, and hopes to improve other potential risk measures, including signal operations.
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