A discrete–continuous model of households’ vehicle choice and usage, with an application to the effects of residential density

By Hao Fang. 2008

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Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review (2014, methodology): “Fang (2008) developed a Bayesian multivariate OP and Tobit (BMOPT) model comprising a multivariate OP model with correlated covariance matrix for vehicle type choice and a multivariate Tobit model (Amemiya, 1984) for vehicle usage using data augmentation and Markov Chain Monte Carlo algorithms.”
Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas (2011, background): “Fang (2008) developed a Bayesian multivariate ordinal response system to model vehicle choice and usage and found higher residential densities to be associated with lower vehicle utilization and fewer light-duty truck holdings, consistent with Zhao and Kockelman‟s (2000) findings.”
A Multiple Discrete-Continuous Nested Extreme Value (MDCNEV) Model: Formulation and Application to Non-worker Activity Time-Use and Timing Behavior on Weekdays (2010, background): “…these can be broadly classified into: (a) multivariate single discretecontinuous modeling frameworks (see for example, Srinivasan and Bhat, 2006 and Fang, 2008), and (b) utility maximization-based Kuhn-Tucker (KT) demand systems (Hanemann, 1978, Wales and Woodland, 1983, Kim et al., 2002, von…”