Skip to main content

Currently Skimming:


Pages 15-24

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 15...
... 15 A systemic approach is inherently data driven, as data are used to identify pedestrian safety risks, locate sites with high risk features, and evaluate the cost-effectiveness of various treatment alternatives. The purpose of this step is to provide guidance on how to compile the data that will be needed to support all future steps in the process.
From page 16...
... 16 Systemic Pedestrian Safety Analysis Traffic and Pedestrian Volume Data Along with the physical characteristics of roadway locations, in a truly systemic, risk-based process, it is important for best results to include two measures to help account for pedestrian exposure to crashes. These measures include • Traffic volume data; and • Pedestrian volume data for each site (collected or estimated)
From page 17...
... Step 2: Compile Data 17 Both measures have been found to be important predictors of pedestrian crashes. If they are missing from the analysis, the other factors that appear to be correlated with crashes may be associated with crashes through their correlation with where people most often walk and/or drive.
From page 18...
... 18 Systemic Pedestrian Safety Analysis Other Roadway Data Needs Other features that are desirable but that may be lacking in roadway data for many agencies include pedestrian-focused facilities such as crosswalks and other crossing improvements. These and some other missing roadway features can sometimes be compiled from online aerial and street-view resources and field-checked for accuracy.
From page 19...
... Intersection-Related Roadway Variables Measurement Methods Traffic volume Typically, average daily traffic (ADT) or AADT is available for state road networks.
From page 20...
... 20 Systemic Pedestrian Safety Analysis risk. These variables were identified from the literature on crash risks at intersections, from effective treatments, and from risk or conflict principles.
From page 21...
... Step 2: Compile Data 21 Segment-Related Roadway Variables Measurements Traffic volume Typically, ADT or AADT is available for state road networks. Subtypes may include • Major and minor road volumes (for intersections)
From page 22...
... 22 Systemic Pedestrian Safety Analysis Potentially Important Pedestrian Crash Exposure Measures Each jurisdiction and each network are different, and therefore the specific measures that may be compiled and used to understand pedestrian crash risk will likely vary. However, it may be helpful to consider types of data and variables that have been used and found to help predict where pedestrian–motor vehicle crashes tend to occur.
From page 23...
... Step 2: Compile Data 23 to collect such measures at several scales for testing with local data. The exact way these variables are scaled or measured may be less important than the fact that they are included.
From page 24...
... 24 Systemic Pedestrian Safety Analysis The database should now be complete and will form the basis for risk analysis in Step 3 and network screening and ranking to identify and prioritize treatment sites in Steps 4 and 6. See the next section for additional resources on developing the necessary data types to account for pedestrian exposure to potential crashes.

Key Terms



This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.