An Empirical Study of Parameter Estimation for Stated Preference Experimental Design

Table 6

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

Variables	Orthogonal		D-efficient		Bayesian 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 1	0.042 (3.440)	0.0121	0.042 (3.505)	0.012	0.025 (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)	0.1465	0.0011 (0.034)	0.0318	0.169 (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)	0.0055	0.007 (1.035)	0.007	0.004 (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 observance	1280		1280		1280
LL (&)	−1350.245		−1297.157		−1279.329
	0.143		0.147		0.134