Computational Intelligence and Neuroscience

Research Article

Understanding Attitudes towards Proenvironmental Travel: An Empirical Study from Tangshan City in China

Table 2

The calculated parameters of the MNL model.
Variable valueWalkingBicycleElectric bicycleBusTaxiCar
Intercept0−3.819.3063.8784.3416.677
G = 1 male0−1.826−1.158−1.377−.563−.603
G = 2 female00b0b0b0b0b
Ag = 1 (0, 20]03.3161.190.7924.9635.472
Ag = 2 (20, 50]0.486−.894−.858−1.467.277
Ag = 3 (50, 100)00b0b0b0b0b
O = 1 civil servant0−.232−19.249−.094−17.610−.113
O = 2 manager02.6802.1183.2823.5132.900
O = 3 technician01.970−.031−.739.191−.953
O = 4 student0−.819−1.927−.4862.329.503
O = 5 staff02.4381.6621.4693.8821.273
O = 6 freelancer02.034−.729.2114.0932.956
O = 7 others00b0b0b0b0b
M = 1 <200001.479.938.648−.783−.991
M = 2 ≥200000b0b0b0b0b
J = 1 no0.940.337.885.203−.969
J = 2 yes00b0b0b0b0b
P = 1 no0.499.805−.995−.247.145
P = 2 yes00b0b0b0b0b
S = 1 no01.367.591.183.143−3.343
S = 2 yes00b0b0b0b0b
Z = 1 no0−3.151.135−.700.115−.273
Z = 2 yes00b0b0b0b0b
D = 1 002.142−5.036.591.307−.915
D = 2 102.352.4741.8041.503.812
D = 3 200b0b0b0b0b
MD = 1 commuter0.311.615−1.765−2.738−3.957
MD = 2 business02.1934.095.392−3.909−.101
MD = 3 shopping and recreation0−.256.650−1.521−.798−1.149
MD = 4 visiting friends and relatives00b0b0b0b0b
FY = 1 ≤2 Yuan0−.910−1.863−3.866−10.625−7.750
FY = 2 (2, 5] Yuan01.1412.8181.065−4.943−5.508
FY = 3 (5, 10] Yuan016.38018.51615.65412.96814.204
FY = 4 >10 Yuan00b0b0b0b0b
SJ = 1 ≤10 mins0−1.728−2.042−20.2952.134−16.459
SJ = 2 (10, 30] mins0.3251.0561.3803.3014.070
SJ = 3 (30, 60] mins0−1.106−.873.032.183.897
SJ = 4 >60 mins00b0b0b0b0b
JL = 1 ≤1 km0−1.601−1.078−21.012−20.712−4.768
JL = 2 (1, 5] km0−1.362−.811−.648−1.557−2.105
JL = 3 (5, 10] km01.4601.571.660.8961.188
JL = 4 >10 km00b0b0b0b0b
Because this parameter is redundant, it is set to be zero.