Heterogeneous preferences toward landscape externalities of wind turbines - Combining choices and attitudes in a hybrid model

Renewable and Sustainable Energy Reviews

Volumn 41, Issue , 2015, Pages 647-657

  Mariel, Petr ^a   Meyerhoff, Jürgen ^b   Hess, Stephane ^c  

^a UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

^b TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^c UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Discrete choice Hybrid latent class model Wind power externalities

Indexed keywords

BEHAVIORAL RESEARCH; BIODIVERSITY; ECONOMICS; ELECTRIC POWER GENERATION; WIND TURBINES;

CHOICE MODEL; DISCRETE CHOICE; DISCRETE CHOICE EXPERIMENTS; DISCRETE CHOICE HYBRID LATENT CLASS MODEL WIND POWER EXTERNALITY; ESTIMATED MODEL; HYBRID MODEL; LATENT CLASS; LATENT CLASS MODEL; RENEWABLE ENERGY SOURCE; WIND POWER GENERATION;

WIND POWER;

EID: 84907481859     PISSN: 13640321     EISSN: 18790690     Source Type: Journal    
DOI: 10.1016/j.rser.2014.08.074     Document Type: Review

References (38)

1. M. Abou-Zeid, M. Ben-Akiva, M. Bierlaire, C. Choudhury, and S. Hess Attitudes and value of time heterogeneity E. Van de Voorde, T. Vanelslander, Applied transport economics - a management and policy perspective 2010 De Boeck Publishing Berchem 523 545
2. C. Aravena, W.G. Hutchinson, and A. Longo Environmental pricing of externalities from different sources of electricity generation in Chile Energy Econ 34 2012 1214 1225 10.1016/j.eneco.2011.11.004
3. K. Ashok, W.R. Dillon, and S. Yuan Extending discrete choice models to incorporate attitudinal and other latent variables J Mark Res 39 1 2002 31 46 10.1509/jmkr.39.1.31.18937
4. M. Ben-Akiva, J. Walker, D. McFadden, T. Gärling, D. Gopinath, and D. Bolduc Extended framework for modeling choice behavior Mark Lett 10 3 1999 187 203 10.1023/A:1008046730291
5. M. Ben-Akiva, D. McFadden, K. Train, J. Walker, C. Bhat, and M. Bierlaire Hybrid choice models: progress and challenges Mark Lett 13 3 2002 163 175 10.1023/A:1020254301302
6. Bierlaire M. BIOGEME: a free package for the estimation of discrete choice models. In: Chevroulet T, Sevestre A, editors, Proceedings of the 3rd Swiss transportation research conference, Monte-Verita, Ascona, Switzerland; 2003.
7. Bierlaire M. An introduction to BIOGEME Version 1.7. Available from: biogeme.epfl.ch.; 2008.
8. D. Bolduc, M. Ben-Akiva, J. Walker, and A. Michaud Hybrid choice models with logit kernel: applicability to large scale models M. Lee-Gosselin, S. Doherty, Integrated land-use and transportation models: behavioural foundations 2005 Elsevier Oxford 275 302
9. W. Breffle, E. Morey, and J. Thacher A joint latent-class model: combining Likert-scale preference statements with choice data to harvest preference heterogeneity Environ Resour Econ 50 1 2011 83 110 10.1007/s10640-011-9463-0
10. Bundesministerium für Umwelt, Naturschutz und Reaktorsicherheit (BMU). Umweltbewusstsein in Deutschland 2004 (Environmental Awareness in Germany 2004). Berlin; 2004.
11. Bundesministerium für Umwelt, Naturschutz und Reaktorsicherheit (BMU). Umweltbewusstsein in Deutschland 2006 (Environmental Awareness in Germany 2006). Berlin; 2006.
12. Bundesministerium für Umwelt, Naturschutz und Reaktorsicherheit (BMU). Key elements of an integrated energy and climate programme. Decision of German Cabinet on August 23rd/24th 2007 at Meseberg. Berlin; 2007.
13. Bundesministerium für Wirtschaft und Energie (BMWi). Zweiter Monitoring-Bericht "Energie der Zukunft" (Second Monitoring report "Energy of the future"). Berlin; 2014a.
14. Bundesministerium für Wirtschaft und Energie (BMWi). Erneuerbare Energien im Jahr 2013 (Renewable energy in 2013). Berlin; 2014b.
15. A. Daly, S. Hess, B. Patruni, D. Potoglou, and Ch. Rohr Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour Transportation 39 2012 267 297 10.1007/s11116-011-9351-z
16. A.H. Eagly, and S. Chaiken The psychology of attitudes 1993 Thomson Belmont, CA
17. A.H. Eagly, and S. Chaiken Attitude research in the 21st century: the current state of knowledge D. Albarracin, B.T. Johnson, M.P. Zanna, The handbook of attitudes 2005 Erlbaum Hillsdale, NJ 743 767
18. M. Eichhorn, K. Johst, R. Seppelt, and M. Drechsler Model-based estimation of collision risks of predatory birds with wind turbines Ecol Soc 17 2012 17
19. K. Ek, and L. Persson Wind farms - where and how to place them? A choice experiment approach to measure consumer preferences for characteristics of wind farm establishments in Sweden Ecol Econ 105 2014 193 203 10.1016/j.ecolecon.2014.06.001
20. A. Glerum, B. Atasoy, and M. Bierlaire Using semi-open questions to integrate perceptions in choice models J Choice Model 10 2014 11 33 10.1016/j.jocm.2013.12.001
21. S. Hess, and N. Beharry-Borg Accounting for latent attitudes in willingness-to-pay studies: the case of coastal water quality improvements in Tobago Environ Resour Econ 52 1 2012 109 131 10.1007/s10640-011-9522-6
22. S. Hess, J. Shires, and A. Jopson Accommodating underlying pro-environmental attitudes in a rail travel context: application of a latent variable latent class specification Transp Res Part D: Transp Environ 25 2013 42 48
23. M.E. Kløjgaarda, and S. Hess Understanding the formation and influence of attitudes in patients' treatment choices for lower back pain: testing the benefits of a hybrid choice model approach Soc Sci Med 114 2014 138 150 10.1016/j.socscimed.2014.05.058
24. W.F. Kuhfeld Marketing research methods in SAS. Experimental design, choice, conjoint and graphical techniques 2005 SAS-Institute Cary, NC
25. Se-Ju Ku, and Seung-Hoon Yoo Willingness to pay for renewable energy investment in Korea: a choice experiment study Renew Sustain Energy Rev 14 2010 2196 2201 10.1016/j.rser.2010.03.013
26. K. Molnarova, P. Sklenicka, J. Stiborek, K. Svobodova, M. Salek, and E. Brabec Visual preferences for wind turbines: location, numbers and respondent characteristics Appl Energy 92 2012 269 278 10.1016/j.apenergy.2011.11.001
27. J.W. Milon, and D. Scrogin Latent preferences and valuation of wetland ecosystem restoration Ecol Econ 56 2006 162 175 10.1016/j.ecolecon.2005.01.009
28. D. McFadden Conditional logit analysis of qualitative choice behavior P. Zarembka, Frontiers in econometrics 1974 Academic Press New York 105 142
29. B.J. McNair, J. Bennett, D.A. Hensher, and J.M. Rose Households' willingness to pay for overhead-to-underground conversion of electricity distribution networks Energy Policy 39 5 2011 2560 2567 10.1016/j.enpol.2011.02.023
30. S. Navrud, R.C. Ready, K. Magnussen, and O. Bergland Valuing the social benefits of avoiding landscape degradation from overhead power transmission lines: do underground cables pass the benefit-cost test? Landsc Res 33 2008 281 296 10.1080/01426390802045921
31. E. Ojea, and M. Loureiro Altruistic, egoistic and biospheric values in willingness to pay (WTP) for wildlife Ecol Econ 63 2007 Elsevier 807 814 10.1016/j.ecolecon.2007.02.003
32. K. Small, C. Winston, and J. Yan Uncovering the distribution of motorists' preferences for travel time and reliability Econometrica 73 2005 1367 1382 10.1111/j.1468-0262.2005.00619.x
33. Small K, Winston C, Yan J. Differentiated road pricing, express lanes, and carpools: exploiting heterogeneous preferences in policy design. Brookings-Wharton papers on urban affairs; 2006. p. 53-96.
34. E. Strazzerra, M. Mura, and D. Contu Combining choice experiments with psychometric scales to assess the social acceptability of wind energy projects: a latent class approach Energy Policy 48 2012 334 347
35. J. Swait Advanced choice models B.J. Kanninen, Valuing environmental amenities using stated choice studies 2007 Springer Netherlands 229 293
36. K. Train Discrete choice methods with simulation 2009 Cambridge University Press New York
37. Vij A, Walker J. Hybrid choice models: holy grail... or not?. In: paper presented at the 13th international conference on travel behaviour research, Toronto; 2012.
38. J. Yoo, and R.C. Ready Preference heterogeneity for renewable energy technology Energy Econ 42 2014 101 114