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Vehicle Miles Traveled Fee System in Nevada
Author(s) -
Andrew Nordland,
Alexander Paz,
Alauddin Khan
Publication year - 2013
Publication title -
transportation research record journal of the transportation research board
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.624
H-Index - 119
eISSN - 2169-4052
pISSN - 0361-1981
DOI - 10.3141/2345-06
Subject(s) - multinomial logistic regression , discrete choice , explanatory power , probit , software deployment , mixed logit , ordered probit , logit , probit model , public transport , perception , multinomial probit , transport engineering , business , marketing , logistic regression , computer science , economics , econometrics , engineering , psychology , philosophy , epistemology , machine learning , neuroscience , operating system
Several barriers are associated with the implementation and deployment of a vehicle miles traveled (VMT) fee system; these barriers range from technology issues to public acceptance. Technology-related barriers are easier to address compared with public-related barriers. In addition, addressing technological barriers requires explicit consideration of the public's attitudes and preferences in relation to various technological options. Public perceptions of and billing preferences for a VMT fee system in Nevada were studied. A survey questionnaire was developed to capture these perceptions and preferences. A series of discrete choice models—ordered, probit, and logit models—were tested to determine the best model to use for evaluating the results of the survey. Multinomial logit models provided the best explanatory power. Modeling assumptions were tested to ensure adequate results. The model provided several interesting insights about public perceptions and preferences in regard to the VMT system. On the basis of these insights, some policy recommendations are provided.

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