Journal of Advanced Transportation / 2019 / Article / Tab 2

Research Article

Identifying High-Risk Intersections for Walking and Bicycling Using Multiple Data Sources in the City of San Diego

Table 2

Negative binomial regression model for bicyclists.

VariableEstimatest-statSig.

(Intercept)4.26512.560.000
Regular bicyclist population (0.25 miles)0.0153.900.000
Transit stop density (0.1 miles)0.8521.550.121
Maximum speed limit within the intersection less than 40 mph0.4572.900.004
Distance between the intersection and beachfront access point less than or equal to 10 miles0.3792.330.020
Presence of a school (0.5 miles)−0.483−2.400.016
Bike facility density (0.5 miles)1.3712.000.045
Total commercial or mixed-use land area (0.25 miles)0.0212.180.030

N45
R-squared0.67
RMSE105.93
MAE87.68