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The prevalence of context-dependent adjustment of activity-travel patterns in energy conservation strategies: results from a mixture-amount stated adaptation experiment

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  • Dujuan Yang
  • Harry Timmermans
  • Aloys Borgers

Abstract

People’s adaptive behaviour to increasing energy prices has been studied at length in transportation research. Prior research however has not addressed research questions concerning the contribution of travel-related changes in more encompassing energy conservation strategies. Moreover, context-dependency and choice under constraints has not been studies at any length. In this paper, we therefore report the results of a context-dependent elaboration of a mixture amount choice experiment to measure context-dependent responses to accumulative energy charges under budget constraints. Accounting for consumer heterogeneity in adaptive response behaviour, mixed logit analysis is used to analyse the extent and nature of adaptations of activity-travel behaviour and resource allocation in response to increasing energy costs. The results indicate that individuals are inclined to compensate for increased expenditures on energy due to price increases. Moreover, results show the existence of significant heterogeneity among respondents in terms of their adaptation strategies to various energy-saving choices. Copyright Springer Science+Business Media New York 2016

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  • Dujuan Yang & Harry Timmermans & Aloys Borgers, 2016. "The prevalence of context-dependent adjustment of activity-travel patterns in energy conservation strategies: results from a mixture-amount stated adaptation experiment," Transportation, Springer, vol. 43(1), pages 79-100, January.
    • Handle: RePEc:kap:transp:v:43:y:2016:i:1:p:79-100
    DOI: 10.1007/s11116-014-9564-z
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    as
    1. Hennessy, Hugh & Tol, Richard S.J., 2011. "The impact of tax reform on new car purchases in Ireland," Energy Policy, Elsevier, vol. 39(11), pages 7059-7067.
    2. Kua, H.W. & Wong, S.E., 2012. "Lessons for integrated household energy conservation policies from an intervention study in Singapore," Energy Policy, Elsevier, vol. 47(C), pages 49-56.
    3. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    4. Brownstone, David & Train, Kenneth, 1998. "Forecasting new product penetration with flexible substitution patterns," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 109-129, November.
    5. Daniel J. Graham & Stephen Glaister, 2002. "The Demand for Automobile Fuel: A Survey of Elasticities," Journal of Transport Economics and Policy, University of Bath, vol. 36(1), pages 1-25, January.
    6. Sean Doherty & Eric Miller, 2000. "A computerized household activity scheduling survey," Transportation, Springer, vol. 27(1), pages 75-97, February.
    7. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    8. Hensher, David A., 2008. "Assessing systematic sources of variation in public transport elasticities: Some comparative warnings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(7), pages 1031-1042, August.
    9. Zhang, Tao & Siebers, Peer-Olaf & Aickelin, Uwe, 2012. "A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK," Energy Policy, Elsevier, vol. 47(C), pages 102-110.
    10. Damaraju Raghavarao & James B. Wiley, 2009. "Conjoint Measurement with Constraints on Attribute Levels: A Mixture–Amount Model Approach," International Statistical Review, International Statistical Institute, vol. 77(2), pages 167-178, August.
    11. McCalley, L. T. & Midden, Cees J. H., 2002. "Energy conservation through product-integrated feedback: The roles of goal-setting and social orientation," Journal of Economic Psychology, Elsevier, vol. 23(5), pages 589-603, October.
    12. Sezgen, Osman & Koomey, Jonathan G, 2000. "Interactions between lighting and space conditioning energy use in US commercial buildings," Energy, Elsevier, vol. 25(8), pages 793-805.
    13. Rentziou, Aikaterini & Gkritza, Konstantina & Souleyrette, Reginald R., 2012. "VMT, energy consumption, and GHG emissions forecasting for passenger transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 487-500.
    14. Litman, Todd, 2005. "Efficient vehicles versus efficient transportation. Comparing transportation energy conservation strategies," Transport Policy, Elsevier, vol. 12(2), pages 121-129, March.
    15. Holmgren, Johan, 2007. "Meta-analysis of public transport demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1021-1035, December.
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