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.
| Variable | Estimates | t-stat | Sig. |
| (Intercept) | 4.265 | 12.56 | 0.000 | Regular bicyclist population (0.25 miles) | 0.015 | 3.90 | 0.000 | Transit stop density (0.1 miles) | 0.852 | 1.55 | 0.121 | Maximum speed limit within the intersection less than 40 mph | 0.457 | 2.90 | 0.004 | Distance between the intersection and beachfront access point less than or equal to 10 miles | 0.379 | 2.33 | 0.020 | Presence of a school (0.5 miles) | ā0.483 | ā2.40 | 0.016 | Bike facility density (0.5 miles) | 1.371 | 2.00 | 0.045 | Total commercial or mixed-use land area (0.25 miles) | 0.021 | 2.18 | 0.030 |
| N | 45 | R-squared | 0.67 | RMSE | 105.93 | MAE | 87.68 |
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