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.
N} by sampling qn∼ Categorical(p), where pk = πkφ(βn|ζk,Ωk)∑K k′=1πk′φ(βn|ζk′,Ωk′ )
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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.