Pedestrian Crash Exposure Analysis Using Alternative Geographically Weighted Regression Models

Table 6

Summary results of the GWGR model for predicting crash.

Variables	Estimate	Stand. error	Z (Est/SE)	Mean	Std.	Min	Max	Median	Lower quartile	Upper quartile	Local
Intercept	2.173	0.101	21.462	1.046	1.810	3.093	−2.52	2.009	1.922	2.284	Yes
SC	0.209	0.150	1.394	0.214	0.228	0.531	−0.36	0.285	0.150	0.381	Yes
BB	−0.084	0.170	−0.494	0.553	0.513	1.809	−0.41	0.332	0.128	0.862	Yes
PB	0.012	0.164	0.071	0.227	0.337	0.898	−0.22	0.324	0.181	0.501	Yes
TS	0.202	0.121	1.676	0.173	0.179	0.555	−0.42	0.164	0.107	0.275	Yes
TP0	−0.548	0.519	−1.057	1.081	0.344	3.677	−1.79	-0.007	−0.342	0.817	Yes
TP1	−0.137	0.411	−0.333	1.311	−0.13	4.750	−2.03	-0.518	−0.907	0.385	Yes
TP2	0.154	0.322	0.477	0.742	0.301	1.933	−1.31	0.188	−0.219	0.796	Yes
TM	0.273	0.187	1.465	0.519	0.246	1.123	−2.04	0.330	0.098	0.536	Yes
TC	0.091	0.419	0.218	1.292	−1.32	0.605	−4.83	-1.137	−1.925	−0.244	Yes
RE	−0.429	0.143	−2.999	0.343	−0.56	−0.03	−1.45	-0.545	−0.835	−0.235	Yes
BU	0.229	0.116	1.970	0.520	−0.08	0.923	−1.23	-0.038	−0.509	0.350	Yes
REC	0.556	0.133	4.172	0.253	0.769	1.429	0.139	0.718	0.636	0.886	Yes
AW	0.086	0.121	0.716	0.158	0.005	0.497	−0.39	0.008	−0.125	0.064	Yes
AL	−0.348	0.117	−2.970	2.477	−1.16	−0.00	−11.6	-0.234	−0.576	−0.140	Yes
TR	0.641	0.191	3.347	0.373	0.386	1.473	−0.33	0.324	0.124	0.621	Yes
AS	0.232	0.112	2.068	0.208	0.170	0.715	−0.46	0.201	0.050	0.266	Yes
TCC	0.795	0.175	4.548	0.456	0.813	2.017	0.114	0.665	0.470	1.085	Yes
PP	−0.423	0.125	−3.25	−0.25	0.145	1.025	−0.21	0.361	0.251	0.189	Yes