Households transport-home energy conservation strategies in response to energy price policies: A stated adaptation experiment based on portfolio choices and cross effects designs

References

• Achnicht, M. (2012). German car buyers willingness to pay to reduce CO2 emissions (Discussion Paper No. 09-058). Mannheim, Germany: Centre for European Economic Research.
   Google Scholar
• Barr, S., Gilg, A. W., & Ford, N. (2005). The household energy gap: Examining the divide between habitual- and purchase-related conservation behaviors. Energy Policy, 33, 1425–1444.
   Web of Science ®Google Scholar
• Black, J. S., Stern, P. C., & Elworth, J. T. (1985). Personal and contextual influences on household energy adaptations. Journal of Applied Psychology, 70, 3–21.
   Web of Science ®Google Scholar
• Brechling, V., & Smith, S. (1994). Household energy efficiency in the UK. Fiscal Studies, 15, 44–56.
   Google Scholar
• Dillman, D., Rosa, E., & Dillman, J. (1983). Lifestyle and home energy conservation in the United States: The poor accept lifestyle cutbacks while the wealthy invest in conservation. Journal of Economic Psychology, 3, 299–315.
   Web of Science ®Google Scholar
• Erath, A., & Axhausen K. W. (2010). Long term fuel price elasticity: Effects on mobility tool ownership and residential location choice (Final report to BFE and BAFU, IVT, ETH Zurich), Zurich.
   Google Scholar
• European Commission. (2008). Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions-20-20-20 by 2020-Europe's climate change opportunity, COM(2008) 13, Brussels.
   Google Scholar
• European Council. (2006). Presidency Conclusions of 23/24 March 2006 (7775/1/06 REV1, Brussels).
   Google Scholar
• European Council. (2007). Presidency Conclusions of the European Coun- cil of 8/9 March 2007. (7224/1/07 REV 1, Brussels).
   Google Scholar
• Ferguson, M. R. (1993). Energy-saving housing improvements in Canada (1979–82): A nested logit analysis. Environment and Planning A, 25, 609–625.
   Web of Science ®Google Scholar
• Gärling, T., Eek, D., Loukopoulos, P., Fujii, S., Johansson-Stenman, O., Kitamura, R., Pendyala, R. M., & Vilhelmsson, B. (2002). A conceptual analysis of the impact of travel demand management on private car use. Transport Policy, 9(1), 59–70.
   Google Scholar
• Glerum, A., & Bierlaire, M. (2012). Accounting for response behavior heterogeneity in the measurement of attitudes: An application to demand for electric vehicles. Proceedings of the Swiss Transport Conference, Monte Verità, Ascona, Switzerland.
   Google Scholar
• Glerum, A., Themans, M., & Bierlaire, M. (2011). Modeling demand for electric vehicles: The effect of car users' attitudes and perceptions. Proceedings of the Second International Choice Modeling Conference, Leeds, UK.
   Google Scholar
• Goldberg, P. K. (1998). The effects of the corporate average fuel efficiency standards in the US. The Journal of Industrial Economics, 46(1), 1–33.
   Web of Science ®Google Scholar
• Goodwin, P. B. (1992). A review of new demand elasticities with special reference to short and long run effects of price changes. Journal of Transport Economics and Policy, 26, 155–163.
   Web of Science ®Google Scholar
• Graham, D., & Glaister, S. (2002). The demand for automobile fuel: A survey of elasticities. Journal of Transport Economics and Policy, 36(1), 1–26.
   Google Scholar
• Graham, D. J., & Glaister, S. (2004). Road traffic demand elasticity estimates: A review. Transport Reviews, 24(3), 261–274.
   Web of Science ®Google Scholar
• Hensher, D. A. (2008). Assessing systematic sources of variation in public transport elasticities: Some comparative warnings. Transportation Research A, 42(7), 1031–1042.
   Google Scholar
• Holmgren, J. (2007). Meta-analysis of public transport demand. Transportation Research A, 41, 1021–1035.
   Google Scholar
• Jäggi, B., & Axhausen, K. W. (2011). Modeling long term investment decisions in housing and transportation. Proceedings of the Swiss Transport Conference, Switzerland.
   Google Scholar
• Jäggi, B., Erath, A., Dobler, C., & Axhausen, K. W. (2012). Modeling household fleet choice as function of fuel price by using a multiple discrete-continuous choice model. Transportation Research Record, 2302, 174–183.
   Web of Science ®Google Scholar
• Jensen, F. A., Cherchi, E., & Mabit, S. (2012). On the stability of preferences and attitudes before and after experiencing an electric vehicle. Proceedings of the International Association for Travel Behaviour Research (IATBR), Toronto, ON.
   Google Scholar
• Long, J. (1993). An econometric analysis of residential expenditures on energy conservation and renewable energy sources. Energy Economics, 15, 232–238.
   Web of Science ®Google Scholar
• Mabit, S. L., & Fosgerau, M. (2011). Demand for alternative-fuel vehicles when registration taxes are high. Transportation Research D, 16, 225–231.
   Web of Science ®Google Scholar
• Manski, C. F., & Sherman, L. (1980). An empirical analysis of household choice among motor vehicles. Transportation Research Part A: General, 14, 349–366.
   Google Scholar
• Mills, B., & Schleich, J. (2010). What's driving energy efficient appliance label awareness and purchase propensity? Energy Policy, 38, 814–825.
   Web of Science ®Google Scholar
• Nair, G., Gustavsson, L., & Mahapatra, K. (2010). Factors influencing energy efficiency investments in existing Swedish residential buildings. Energy Policy, 38, 2956–2963.
   Web of Science ®Google Scholar
• Oum, T. H., Waters, W. G., & Yong, J. S. (1992). Concepts of price elasticities of transport demand and recent empirical estimates: An interpretative survey. Journal of Transport Economics and Policy, 23, 163–187.
   Google Scholar
• Pinjari, A. R., & Bhat, C. (2011). An efficient forecasting procedure for Kuhn-Tucker consumer demand model systems. Technical paper. Department of Civil & Environmental Engineering, University of South Florida, 1–48.
   Google Scholar
• Rasouli, S., & Timmermans, H. J. P. (2016). Influence of social networks on latent choice of electiric cars: A mixed logit specification using experimental design data. Networks and Spatial Economics, 16(1), 99–130.
   Web of Science ®Google Scholar
• Sterner, T., & Dahl, C. (1992). Modelling transport fuel demand. In International Energy Economics. London: Chapman & Hall.
   Google Scholar
• Walsh, M. (1989). Energy tax credits and housing improvement. Energy Economics, 11, 275–284.
   Web of Science ®Google Scholar
• Wardman, M., & Grant-Muller, S. (2011). Price elasticities of travel demand in Great Britain: A meta-analysis. Proceedings of the 90th TRB Annual Meeting (pp. 1–15), Washington, DC ( CD-Rom).
   Google Scholar
• Wiley, J. B., & Timmermans, H. J. P. (2009). Modelling portfolio choice in transportation research. Transport Reviews, 29(5), 569–586.
   Web of Science ®Google Scholar
• Yang, D., & Timmermans, H. J. P. (2013). Mixture amount stated adaptation experiment of Activity-travel behaviour dynamics in adaptive response to energy conservation strategies. Proceedings of the 92nd TRB Annual Meeting (pp. 1–15), Washington, DC ( CD-Rom).
   Google Scholar