Studying the Role of Behavioral Characteristics in Individuals Travel Choice Behavior in Response to Earthquake Disaster Using Discrete Choice Models
Table 7
Result of evacuation binary logit model.
Independent variable
Dependent variable
Evacuation
Coefficient
Standard error
Wald
value
GENDER
−3.471
0.620
−5.59
≤0.001
AGE1
15.657
2.755
5.68
≤0.001
AGE2
20.126
3.464
5.81
≤0.001
AGE3
8.917
1.853
4.81
≤0.001
EDU2
−13.348
2.184
−6.11
≤0.001
EDU3
2.658
0.859
3.09
0.0020
MARITAL STATUS
7.633
1.182
6.46
≤0.001
JOB1
−8.606
1.357
−6.34
≤0.001
JOB6
1.464
0.599
2.44
0.0145
JOB7
13.117
2.313
5.67
≤0.001
HOME OWNERSHIP
−2.251
0.581
3.23
≤0.001
FNUM
0.919
0.247
3.71
0.0002
CARNUM
4.166
0.807
5.16
≤0.001
CARUSE2
1.083
0.472
2.29
0.0220
CARUSE3
7.260
1.276
5.69
≤0.001
NORTH
−7.061
1.306
−5.40
≤0.001
CENTRALS
−17.11
2.937
−5.83
≤0.001
TRAFFIC2
−11.102
2.037
−5.45
≤0.001
TRAFFIC3
−3.935
0.784
−5.01
≤0.001
FAMILIAR2
−2.860
0.594
−4.81
≤0.001
FAMILIAR3
3.820
0.794
4.81
≤0.001
FAMILIAR4
3.999
0.903
4.43
≤0.001
EXPERIENCE 3
3.796
0.657
5.77
≤0.001
RELIGIOUS3
−2.296
0.488
−4.70
≤0.001
TRAINING3
5.914
1.017
5.81
≤0.001
FOLLOW3
0.743
0.897
−4.80
0.0655
SEVERITY1
−0.914
0.628
−1.46
0.0552
SEVERITY2
3.837
0.815
−4.71
≤0.001
SEVERITY3
12.712
2.471
5.14
≤0.001
TIME
0.217
0.099
2.19
0.0283
Log likelihood function
−1259.462
Chi-squared
510.626
Significance level
≤0.001
Prob > Chi2 (χ2)
≤0.001
Pseudo R2
0.168
,, and denote significance at 1%, 5%, and 10% level. Bold values indicate model fit indices. For example: Log likelihood function is a measure of how well a particular model fits the data and the chi‐squared statistic is a test that measures how a model compares to actual observed data.
