Journal ArticleDOI
Demand for clean-fuel vehicles in california: a discrete-choice stated preference pilot project
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In this paper, a study was conducted to determine how demand for clean-fuel vehicles and their fuel is likely to vary as a function of attributes that distinguish these vehicles from conventional gasoline vehicles.Abstract:
A study was conducted to determine how demand for clean-fuel vehicles and their fuel is likely to vary as a function of attributes that distinguish these vehicles from conventional gasoline vehicles. For the purposes of the study, clean-fuel vehicles are defined to encompass both electric vehicles and unspecified (methanol, ethanol, compressed natural gas or propane) liquid and gaseous fuel vehicles, in both dedicated or multiple-fuel versions. The attributes include vehicle purchase price, fuel operating cost, vehicle range between refueling, availability of fuel, dedicated versus multiple-fuel capability and the level of reduction in emissions (compared to current vehicles). In a mail-back stated preference survey, approximately 700 respondents in the California South Coast Air Basin gave their choices among sets of hypothetical future vehicles, as well as their choices between alternative fuel versus gasoline for hypothetical multiple-fuel vehicles. Estimates of attribute importance and segment differences are made using discrete-choice nested multinomial logit models for vehicle choice and binomial logit models for fuel choice. These estimates can be used to modify present vehicle-type choice and utilization models to accomodate clean-fuel vehicles; they can also be used to evaluate scenarios for alternative clean-fuel vehicle and fuel supply configurations. Results indicate that range between refueling is an important attribute, particularly if range for an alternative fuel is substantially less than that for gasoline. For fuel choice, the most important attributes are range and fuel cost, but the predicted probability of choosing alternative fuel is also affected by emissions levels, which can compensate for differences in fuel prices.read more
Citations
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Journal ArticleDOI
Willingness to pay for electric vehicles and their attributes
TL;DR: In this article, the authors present a stated preference study of electric vehicle choice using data from a national survey, where 3029 respondents were asked to choose between their preferred gasoline vehicle and two electric versions of that preferred vehicle.
Journal ArticleDOI
Mainstream consumers driving plug-in battery-electric and plug-in hybrid electric cars: A qualitative analysis of responses and evaluations
Ella Graham-Rowe,Benjamin Gardner,Charles Abraham,Stephen Skippon,Helga Dittmar,Rebecca Hutchins,Jenny Stannard +6 more
TL;DR: Results highlight potential barriers to the uptake of current-generation (2010) plug-in electric cars by mainstream consumers, including the prioritization of personal mobility needs over environmental benefits, concerns over the social desirability of electric vehicle use, and the expectation that rapid technological and infrastructural developments will make current models obsolete.
Journal ArticleDOI
Experimental analysis of choice
TL;DR: Experimental choice analysis continues to attract academic and applied attention as mentioned in this paper, and the design strategies consistent with probabilistic models of choice process and the parallels between choice experiments and real markets are considered.
Journal ArticleDOI
Consumer Preferences for Alternative Fuel Vehicles: A Discrete Choice Analysis
TL;DR: In this paper, the authors analyzed the potential demand for privately used alternative fuel vehicles (AFVs), based on a nationwide survey in Germany among (potential) car buyers, and found that the most promising target group for the adoption of all kinds of AFVs is that of younger, well-educated, and environmentally aware car buyers.
Posted Content
The Role of Instrumental, Hedonic and Ssymbolic Attributes in the Intention to Adopt Electric Vehicles
TL;DR: In this article, the authors study how private car drivers' perception of vehicle attributes may affect their intention to adopt electric vehicles (EVs) and find that people who believe that a proenvironmental self-identity fits with their self-image are more likely to have positive perceptions of EV attributes.
References
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Book
Discrete Choice Analysis: Theory and Application to Travel Demand
Moshe Ben-Akiva,Steven R. Lerman +1 more
TL;DR: In this article, the authors present the methods of discrete choice analysis and their applications in the modeling of transportation systems and present a complete travel demand model system presented in chapter 11, which is intended as a graduate level text and a general professional reference.
Journal ArticleDOI
An Econometric Analysis of Residential Electric Appliance Holdings and Consumption
Jeffrey A. Dubin,Daniel McFadden +1 more
TL;DR: In this paper, the authors used a subsample of the 1975 survey of 3249 households carried out by the Washington Center for Metropolitan Studies (WCMS) for the Federal Energy Administration for the purpose of testing the statistical exogeneity of appliance dummy variables typically included in demand for electricity equations.
Journal ArticleDOI
Assessing the potential demand for electric cars
TL;DR: An ordered logit specification for use on ranked individual data is used to analyze survey data on potential consumer demand for electric cars, and results indicate considerable dispersion in individual coefficients.
Journal ArticleDOI
Using Discrete Choice Models with Experimental Design Data to Forecast Consumer Demand for a Unique Cultural Event
TL;DR: In this paper, a multinomial logit choice model is applied to forecast the choice of attendance at various types of international expositions and the choice data are analyzed by means of discrete choice econometric models.