01701662

Component

https://doi.org/10.1177/0361198119837235

For this study, we developed one of the first statewide pedestrian exposure models, using log-linear regression to estimate annual pedestrian crossing volumes at intersections on the California State Highway System. We compiled a database of more than 1,200 count locations, one of the largest ever used to create a pedestrian volume mode. We initially evaluated 75 explanatory variables for the model. The final model is based on the three land-use variables (employment density, population density, number of schools), four roadway network variables (number of street segments, intersections with principal arterial and minor arterial roadways, and four-way intersections), and the U.S. Census Bureau’s American Community Survey journey-to-work walk mode share that are readily available or fairly easy to create using basic geographic information system analysis. The resulting pedestrian volume model was used to estimate annual crossing volumes at more than 12,000 intersections along the California State Highway System. This is one of the first statewide pedestrian volume models, and California may represent the largest jurisdiction to date to adopt a single, system-wide pedestrian volume model.

19-03578

English

pp 941-950

2019-4

Transportation Research Record: Journal of the Transportation Research Board

Digital/other

Figures (4) ; References (24) ; Tables (2)

Intersections; Land use; Network analysis (Planning); Pedestrian safety; Pedestrian traffic; Regression analysis; Traffic models; Traffic volume

American Community Survey; California State Highway System

California

Highways; Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors

TRIS, TRB, ATRI

Feb 25 2019 11:12AM