A choice experiment on alternative fuel vehicle preferences of private car owners in the Netherlands

ACEA, 2012, ACEA Tax Guide 2012. European Automobile Manufacturers Association (ACEA), Brussels, Belgium.

Ahn, 2008, A forecast of household ownership and use of alternative fuel vehicles: a multiple discrete–continuous choice approach, Energy Econ., 30, 2091, 10.1016/j.eneco.2007.10.003

Azar, 2011, The elusive quest for technology-neutral policies, Environ. Innov. Soc. Transit., 1, 135, 10.1016/j.eist.2011.03.003

Bakker, 2010, The car industry and the blow-out of the hydrogen hype, Energy Policy, 38, 6540, 10.1016/j.enpol.2010.07.019

Batley, 2004, A mixed logit model of U.K. household demand for alternative-fuel vehicles, Int. J. Transp. Econ., 31, 55

Beck, 2011, Behavioural responses to vehicle emissions charging, Transportation, 38, 445, 10.1007/s11116-010-9316-7

Beggs, 1981, Assessing the potential demand for electric cars, J. Econometrics, 16, 1, 10.1016/0304-4076(81)90056-7

Brownstone, 2000, Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles, Transport. Res. Part A, 34, 315, 10.1016/S0191-2615(99)00031-4

Bunch, 1993, Demand for clean-fuel vehicles in California: a discrete-choice stated preference pilot project, Transport. Res. Part A, 27, 237

Bunch, D.S., Brownstone, D., Golob, T.F., 1995, A dynamic forecasting system for vehicle markets with clean-fuel vehicles. Working Paper UCI-ITS-WP-95-21, Institute of Transportation Studies, University of California, Irvine, USA.

Calfee, 1985, Estimating the demand for electric automobiles using fully disaggregated probabilistic choice analysis, Transport. Res. Part B, 19, 287, 10.1016/0191-2615(85)90037-2

Carlsson, 2007, Do you enjoy having more than others? Survey evidence of positional goods, Economica, 74, 586, 10.1111/j.1468-0335.2006.00571.x

Caulfield, 2010, Examining individuals preferences for hybrid electric and alternatively fuelled vehicles, Transp. Policy, 17, 381, 10.1016/j.tranpol.2010.04.005

CBS, 2013a. Statline Web Publication. CBS Statistics Netherlands, The Hague. <http://statline.cbs.nl/StatWeb/publication/?DM=SLNL&PA=81128NED&D1=a&D2=0&D3=a&D4=0&D5=a&D6=0&D7=l&VW=T>.

CBS, 2013b, Statline Web Publication. <http://statline.cbs.nl/StatWeb/publication/default.aspx?DM=SLNL&PA=71107NED&D1=0&D2=a&D3=0&D4=0&D5=a&D6=a&VW=T>.

Chrzan, K., Orme, B., 2000. An overview and comparison of design strategies for choice-based conjoint analysis. Sawtooth Software Research Paper Series. Sequiem, USA. <http://www.skimgroup.com/images/stories/technicalpapers/Design-of-Conjoint-Experiments/desgncbc.pdf>.

Dagsvik, 2009, A framework for analyzing rank-ordered data with application to automobile demand, Transport. Res. Part A, 43, 1

Dagsvik, J.K., Wetterwald, D.G., Aaberge, R., 1996. Potential Demand for Alternative Fuel Vehicles. Discussion Paper No. 165, Statistics Norway, Oslo, Norway.

Dimitropoulos, 2011

Eberle, 2012, Fuel cell electric vehicles and hydrogen infrastructure: status 2012, Energy Environ. Sci., 5, 8780, 10.1039/c2ee22596d

European Commission, 2011. Roadmap to a Single European Transport Area: Towards a Competitive and Resource Efficient Transport System (White Paper), COM (2011) 144 Final, Brussel.

Ewing, 1998, Car fuel-type choice under travel demand management and economic incentives, Transport. Res. Part D, 3, 429, 10.1016/S1361-9209(98)00019-4

Grüning, M., Witte, M., Boteler, B., Kantamaneni, R., Gabel, E., Bennink, D., Van Essen, H., Kampman, B., 2011. Impacts of Electric Vehicles – Deliverable 3: Assessment of the Future Electricity Sector. Publication Number 11.4058.05, CE Delft, Delft, The Netherlands.

Hensher, 2001, Choosing between conventional, electric and LPG/CNG vehicles in single-vehicle households, 725

Hess, 2006, On the use of a modified Latin hypercube sampling (MLHS) method in the estimation of a mixed logit model for vehicle choice, Transport. Res. Part B, 40, 147, 10.1016/j.trb.2004.10.005

Hidrue, 2011, Willingness to pay for electric vehicles and their attributes, Resour. Energy Econ., 33, 686, 10.1016/j.reseneeco.2011.02.002

Hoen, 2011, The influence of positionality in car-purchasing behaviour on the downsizing of new cars, Transport. Res. Part D, 16, 402, 10.1016/j.trd.2011.03.003

Horne, 2005, Improving behavioral realism in hybrid energy-economy models using discrete choice studies of personal transportation decisions, Energy Econ., 27, 59, 10.1016/j.eneco.2004.11.003

Kemp, 1994, Technology and the transition to environmental sustainability: the problem of technological regime shifts, Futures, 26, 1023, 10.1016/0016-3287(94)90071-X

Mabit, 2011, Demand for alternative-fuel vehicles when registration taxes are high, Transport. Res. Part D, 16, 225, 10.1016/j.trd.2010.11.001

Maness, 2012, Measuring future vehicle preferences stated preference survey approach with dynamic attributes and multiyear time frame, Transport. Res. Rec.: J. Transport. Res. Board, No. 2285, 100, 10.3141/2285-12

Mau, 2008, The ‘Neighbor Effect’: simulating dynamics in consumer preferences for new vehicle technologies, Ecol. Econ., 68, 504, 10.1016/j.ecolecon.2008.05.007

PBL, 2009. Getting into the Right Lane for 2050. PBL Netherlands Environmental Assessment Agency, The Hague, The Netherlands.

Potoglou, 2007, Household demand and willingness to pay for clean vehicles, Transport. Res. Part D, 12, 264, 10.1016/j.trd.2007.03.001

Thomas, 2009, Fuel cell and battery electric vehicles compared, Int. J. Hydrogen Energy, 34, 6005, 10.1016/j.ijhydene.2009.06.003

Train, 2008, EM algorithms for nonparametric estimation of mixing distributions, J. Choice Modell., 1, 40, 10.1016/S1755-5345(13)70022-8

Von Helmolt, 2007, Fuel cell vehicles: status 2007, J. Power Sources, 165, 833, 10.1016/j.jpowsour.2006.12.073

Zhang, 2011, A study of the diffusion of alternative fuel vehicles: an agent-based modeling approach, J. Prod. Innov. Manage, 28, 152, 10.1111/j.1540-5885.2011.00789.x

Ziegler, 2012, Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: a discrete choice analysis for Germany, Transport. Res. Part A, 46, 1372