Mathematical Problems in Engineering / 2014 / Article / Tab 6

Research Article

An Empirical Study of Parameter Estimation for Stated Preference Experimental Design

Table 6

The ML model results based on the different experimental design methods.

VariablesOrthogonalD-efficientBayesian D-efficient
Parameter ()Standard deviation (σ)Parameter ()Standard deviation (σ)Parameter ()Standard deviation (σ)

Cost
−0.053 (−4.265)0.0125−0.042 (−3.111)0.0136−0.033 (−2.947)0.0112
δ 10.042 (3.440)0.01210.042 (3.505)0.0120.025 (1.794)0.0141
Arrival time
−0.114 (−13.607)0.0083−0.104 (13.577)0.0076−0.229 (−6.767)0.0339
0.005 (0.350)0.14650.0011 (0.034)0.03180.169 (4.845)0.0349
Waiting time −0.054 (−1.675)0.0322−0.005 (−0.166)0.0321−0.021 (−0.598)0.0357
In-vehicle time
−0.038 (−8.136)0.0047−0.033 (−8.536)0.0038−0.013 (−4.925)0.0027
0.013 (2.337)0.00550.007 (1.035)0.0070.004 (0.826)0.0047
Off-vehicle time 0.008 (0.250)0.0328−0.008 (−0.249)0.0321−0.015 (−0.459)0.0345
Number of observance128012801280
LL (&)−1350.245−1297.157−1279.329
0.1430.1470.134