Typhoon Vulnerability Analysis in South Korea Utilizing Damage Record of Typhoon Maemi
Table 3
Results with the regression models.
Variables
Commercial
Residential
Industrial
Coefficient
Beta coefficient
VIF
Coefficient
Beta coefficient
VIF
Coefficient
Beta coefficient
|
VIF
Typhoon information
Maximum wind speed
0.089
0.060
0.612
1.022
0.484
0.509
0.000
1.101
0.402
0.092
0.338
1.200
Distance from coast
–0.013
–0.107
0.363
1.016
–0.015
–0.248
0.000
1.057
–0.035
–0.222
0.021
1.165
Basic building information
Total value of property
–3.137E – 005
–0.549
0.000
1.027
–1.413E – 005
–0.328
0.000
1.085
–4.260E – 005
–0.622
0.000
2.190
Construction type
1.094
0.241
0.050
1.073
—
—
—
—
0.214
0.130
0.163
1.109
Floors
0.028
0.083
0.531
1.293
0.033
0.113
0.027
1.048
0.083
0.227
0.080
2.147
Underground floors
0.082
0.055
0.673
1.271
0.024
0.018
0.726
1.055
0.678
0.106
0.267
1.182
Number of observations
51
173
78
F
5.147
47.811
9.785
Adj-R2
0.332
0.587
0.403
Coefficient designates the nonstandardized coefficients that reflect the unit scale of the independent variable. Beta coefficient designates standardized coefficients that disregard the unit scale of independent variable, which helps comparisons among the independent variables. The higher value of the beta coefficient means a more significant effect on the dependent variable.
