A Multiple Discrete-Continuous Nested Extreme Value (MDCNEV) Model: Formulation and Application to Non-worker Activity Time-Use and Timing Behavior on Weekdays

摘要: This paper develops a multiple discrete-continuous nested extreme value (MDCNEV) model that relaxes the independently distributed (or uncorrelated) error terms assumption of (MDCEV) proposed by Bhat [Bhat, C.R., 2005. A model: formulation and application to discretionary time-use decisions. Transportation Research Part B 39 (8), 679-707; Bhat, 2008. The role utility function parameters, identification considerations, extensions. 42 (3), 274-303]. MDCNEV captures inter-alternative correlations among alternatives in mutually exclusive subsets nests) choice set, while maintaining closed-form probability expressions for any (and all) consumption pattern(s). is applied analyze non-worker out-of-home activity timing decisions on weekdays using data from 2000 San Francisco Bay Area data. empirical contributes literature analysis considering daily behavior preferences unified maximization-based framework. estimation results provide several insights into determinants non-workers' performs better than MDCEV goodness fit. However, nesting parameters are very close 1, indicating low levels correlation. Nonetheless, even with such correlation levels, policy simulations indicate non-negligible differences predictions substitution patterns exhibited two models. Experiments conducted simulated also corroborate this result.