A unified mixed logit framework for modeling revealed and stated preferences: Formulation and application to congestion pricing analysis in the San Francisco Bay area

Transportation Research Part B: Methodological

Volumn 36, Issue 7, 2002, Pages 593-616

  Bhat, Chandra R ^a   Castelar, Saul ^a  

^a The University of Texas at Austin   (United States)

Author keywords

Congestion pricing; Mixed logit; Quasi Monte Carlo simulation; Revealed preference; State dependence; Stated preference; Unobserved heterogeneity

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; MONTE CARLO METHODS; PARAMETER ESTIMATION; PUBLIC POLICY; RANDOM PROCESSES;

TRAVEL SURVEYS;

MASS TRANSPORTATION;

LOGIT ANALYSIS; METHODOLOGY; MODELING; ROAD PRICING; TRAFFIC CONGESTION; TRAFFIC MANAGEMENT;

CALIFORNIA; SAN FRANCISCO; UNITED STATES;

EID: 0036681094     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0191-2615(01)00020-0     Document Type: Article

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