A framework for analyzing rank-ordered data with application to automobile demand

Transportation Research Part A: Policy and Practice

Volumn 43, Issue 1, 2009, Pages 1-12

  Dagsvik, John K ^a   Liu, Gang ^a  

^a STATISTICS NORWAY   (Norway)

Author keywords

Alternative fuel vehicles; C25; C33; Car demand; GEV rank ordered models; L92; Random utility models

Indexed keywords

ALTERNATIVE FUELS; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; VEHICLES;

ALTERNATIVE FUEL VEHICLES; CONVENTIONAL GASOLINE; DISTRIBUTION OF WILLINGNESS TO PAYS; ORDERED MODELS; RANDOM EFFECTS; RANDOM UTILITY MODEL; STATED PREFERENCE SURVEYS; STATED PREFERENCES;

LEARNING TO RANK;

ANALYTICAL FRAMEWORK; CAR USE; CORRELATION; DISCRETE CHOICE ANALYSIS; NUMERICAL MODEL; PREFERENCE BEHAVIOR; PROBABILITY; QUESTIONNAIRE SURVEY;

ASIA; CHINA; EURASIA; FAR EAST; SHANGHAI;

EID: 55849103162     PISSN: 09658564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tra.2008.06.005     Document Type: Article

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