Research Article
Pedestrian Crash Exposure Analysis Using Alternative Geographically Weighted Regression Models
Table 5
Summary results of the GWR model for predicting crashes.
| Variables | Intercept | C-export | Residual | R2 (local) | Std. error | Std. resid | 2.053 | −0.044 | 0.39 | −0.024 |
| SC | | 0.248 | | | 0.183 | | BS | 0.228 | 0.196 | PB | 0.118 | 0.120 | TS | 0.178 | 0.085 | TP0 | 0.725 | 0.210 | TM | −0.423 | 0.248 | TC | 0.354 | 0.155 | RE | −0.423 | 0.122 | BU | 0.572 | 0.135 | RCE | −0.028 | 0.123 | AW | 0.39 | 0.190 | TR | 0.121 | 0.088 | TCC | −0.055 | 0.012 | TP1 | 0.514 | 0.145 | TP2 | 0.325 | 0.162 | AL | 0.254 | 0.065 | PP | −0.416 | 0.321 | SA | 0.213 | 0.174 | AS | 0.085 | 0.162 |
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