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 ζk∼ N µζk, Σζk , where Σζk = Σ0 + ckΩ−1 −1 and µζk = Σζk Σ−1 0 µ0 + Ω−1∑ n:qn=k βn
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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.