DP-MON mixing distribution in hierarchical Bayes MNL models yields superior fit to NYC SAV stated choice data, polarized WTP for avoiding ride-splitting (one-third pay 10-80 USD/h), and low value placed on vehicle automation or electrification.
K} by sampling Ωk∼ IW(ν + ck + R−1, 2νdiag(ak) + ∑ n:qn=k(βn− ζk)(βn− ζk)⊤)
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Semi-Parametric Hierarchical Bayes Estimates of New Yorkers' Willingness to Pay for Features of Shared Automated Vehicle Services
DP-MON mixing distribution in hierarchical Bayes MNL models yields superior fit to NYC SAV stated choice data, polarized WTP for avoiding ride-splitting (one-third pay 10-80 USD/h), and low value placed on vehicle automation or electrification.