Exploring Spatial Sources of Preference Heterogeneity for Landslide Protection

References

1. ↵
   1. Abildtrup Jens,
   2. Garcia Serge,
   3. Bøye Olsen Søren,
   4. Stenger Anne.

   2013. “Spatial Preference Heterogeneity in Forest Recreation.” Ecological Economics 92: 67–77. https://doi.org/10.1016/j.ecolecon.2013.01.001.

   OpenUrl
2. ↵
   1. Bateman Ian J.,
   2. Day Brett H.,
   3. Georgiou Stavros,
   4. Lake Iain.

   2006. “The Aggregation of Environmental Benefit Values: Welfare Measures, Distance Decay and Total WTP.” Ecological Economics 60 (2): 450–60. https://doi.org/10.1016/j.ecolecon.2006.04.003.

   OpenUrlCrossRefWeb of Science
3. ↵
   1. Bierlaire Michel.

   2003. “BIOGEME: A Free Package for the Estimation of Discrete Choice Models.” In Proceedings of the 3rd Swiss Transportation Research Conference, ed. Chevroulet T., Sevestre A. Ascona, Switzerland: Monte-Verita.
4. ↵
   1. Bradley Mark,
   2. Daly Andrew.

   1994. “Use of the Logit Scaling Approach to Test for Rank-Order and Fatigue Effects in Stated Preference Data.” Transportation 21 (2): 167–84. https://doi.org/10.1007/BF01098791.

   OpenUrlCrossRefWeb of Science
5. ↵
   1. Broch Stine Wamberg,
   2. Strange Niels,
   3. Jacobsen Jette B.,
   4. Wilson Kerrie A.

   2013. “Farmers’ Willingness to Provide Ecosystem Services and Effects of Their Spatial Distribution.” Ecological Economics 92: 78–86. https://doi.org/10.1016/j.ecolecon.2011.12.017.

   OpenUrlCrossRef
6. ↵
   1. Brouwer Roy,
   2. Martin-Ortega Julia,
   3. Berbel Julio.

   2010. “Spatial Preference Heterogeneity: A Choice Experiment.” Land Economics 86 (3): 552–68. https://doi.org/10.3368/le.86.3.552.

   OpenUrlAbstract/FREE Full Text
7. ↵
   1. Campbell Danny,
   2. Budziński Wiktor,
   3. Czajkowski Mikołaj,
   4. Hanley Nick.

   2017. “Using a Spatial Error Latent Class Approach to Address Spatial Dependence in Latent Class Membership.” Paper presented at the International Choice Modelling Conference, Cape Town, South Africa, April 3–5.
8. ↵
   1. Campbell Danny,
   2. George Hutchinson W.,
   3. Scarpa Riccardo.

   2009. “Using Choice Experiments to Explore the Spatial Distribution of Willingness to Pay for Rural Landscape Improvements.” Environment and Planning A 41 (1): 97–111. https://doi.org/10.1068/a4038.

   OpenUrlCrossRef
9. ↵
   1. Campbell Danny,
   2. Scarpa Riccardo,
   3. George Hutchinson W.

   2008. “Assessing the Spatial Dependence of Welfare Estimates Obtained from Discrete Choice Experiments.” Letters in Spatial and Resource Sciences 1 (2): 117–26. https://doi.org/10.1007/s12076-008-0012-6.

   OpenUrl
10. ↵
    1. ChoiceMetrics.

    2012. Ngene 1.1.1 User Manual and Reference Guide. Sydney, Australia: ChoiceMetrics.
11. 1. Czajkowski Mikołaj,
    2. Budzinski Wiktor,
    3. Campbell Danny,
    4. Giergiczny Marek,
    5. Hanley Nick.

    2017. “Spatial Heterogeneity of Willingness to Pay for Forest Management.” Environmental and Resource Economics 68 (3): 705–27. https://doi.org/10.1007/s10640-016-0044-0.

    OpenUrlCrossRef
12. 1. Czajkowski Mikołaj,
    2. Giergiczny Marek,
    3. Greene William H.

    2012. “Learning and Fatigue Effects Revisited: The Impact of Accounting for Unobservable Preference and Scale Heterogeneity on Perceived Ordering Effects in Multiple Choice Task Discrete Choice Experiments.” Working paper 8/2012 (74). Warsaw, Poland: University of Warsaw, Faculty of Economic Sciences.
13. ↵
    1. Ferrini S.,
    2. Scarpa Riccardo.

    2007. “Designs with A Priori Information for Nonmarket Valuation with Choice Experiments: A Monte Carlo Study.” Journal of Environmental Economics and Management 53 (3): 342–63. https://doi.org/10.1016/j.jeem.2006.10.007.

    OpenUrlCrossRefWeb of Science
14. ↵
    1. Greene William H.,
    2. Hensher David A.

    2007. “Heteroscedastic Control for Random Coefficients and Error Components in Mixed Logit.” Transportation Research Part E: Logistics and Transportation Review 43 (5): 610–23. https://doi.org/10.1016/j.tre.2006.02.001.

    OpenUrl
15. ↵
    1. Greene William H.,
    2. Hensher David A.,
    3. Rose John M.

    2005. “Applications of Simulation Methods in Environmental and Resource Economics.” In Applications of Simulation Methods in Environmental and Resource Economics, Vol. 6, Scarpa Riccardo, Alberini Anna ed. 17–33. Dordrecht, Netherlands: Springer Science and Business Media.

    OpenUrl
16. ↵
    1. Halton J. H.

    1960. “On the Efficiency of Certain Quasi-random Sequences of Points in Evaluating Multidimensional Integrals.” Numerische Mathematik 2: 84–90. https://doi.org/10.1007/BF01386213.

    OpenUrlCrossRef
17. ↵
    1. Hensher David A.,
    2. Greene William H.

    2003. “Mixed Logit Models: State of Practice.” Transportation 30 (2): 133–76. https://doi.org/10.1023/A:1022558715350.

    OpenUrlCrossRefWeb of Science
18. 1. Hensher David A.,
    2. Greene William H.,
    3. Rose John M.

    2006. “Deriving Willingness-to-Pay Estimates of Travel-Time Savings from Individual-Based Parameters.” Environment and Planning A 38 (12): 2365–76. https://doi.org/10.1068/a37395.

    OpenUrlCrossRef
19. ↵
    1. Herriges Joseph A.,
    2. Phaneuf Daniel J.

    2002. “Inducing Patterns of Correlation and Substitution in Repeated Logit Models of Recreation Demand.” American Journal of Agricultural Economics 84 (4): 1076–90. https://doi.org/10.1111/1467-8276.00055.

    OpenUrlCrossRefWeb of Science
20. ↵
    1. Holland Benedict M.,
    2. Johnston Robert J.

    2017. “Optimized Quantity-within-Distance Models of Spatial Welfare Heterogeneity.” Journal of Environmental Economics and Management 85: 110–29. https://doi.org/10.1016/j.jeem.2017.04.006.

    OpenUrl
21. ↵
    1. Horne Paula,
    2. Boxall Peter C.,
    3. Adamowicz Wiktor L.

    2005. “Multiple-Use Management of Forest Recreation Sites: A Spatially Explicit Choice Experiment.” Forest Ecology and Management 207 (1): 189–99. https://doi.org/10.1016/j.foreco.2004.10.026.

    OpenUrlCrossRefWeb of Science
22. 1. Johnston Robert J.,
    2. Abdulrahman Abdulallah S.

    2017. “Systematic Non-response in Discrete Choice Experiments: Implications for the Valuation of Climate Risk Reductions.” Journal of Environmental Economics and Policy 6 (3): 246–67. https://doi.org/10.1080/21606544.2017.1284695.

    OpenUrl
23. ↵
    1. Johnston Robert J.,
    2. Duke Joshua M.

    2009. “Willingness to Pay for Land Preservation across States and Jurisdictional Scale: Implications for Benefit Transfer.” Land Economics 85 (2): 217–37. https://doi.org/10.3368/le.85.2.217.

    OpenUrlAbstract/FREE Full Text
24. ↵
    1. Johnston Robert J.,
    2. Holland Benedict M.,
    3. Yao Liuyang.

    2016. “Individualized Geocoding in Stated Preference Questionnaires: Implications for Survey Design and Welfare Estimation.” Land Economics 92 (4): 737–59. https://doi.org/10.3368/le.92.4.737.

    OpenUrlAbstract/FREE Full Text
25. ↵
    1. Johnston Robert J.,
    2. Jarvis Daniel,
    3. Wallmo Kristy,
    4. Lew Daniel K.

    2015. “Multiscale Spatial Pattern in Nonuse Willingness to Pay: Applications to Threatened and Endangered Marine Species.” Land Economics 91 (4): 739–61. https://doi.org/10.3368/le.91.4.739.

    OpenUrlAbstract/FREE Full Text
26. ↵
    1. Johnston Robert J.,
    2. Ramachandran Mahesh.

    2014. “Modeling Spatial Patchiness and Hot Spots in Stated Preference Willingness to Pay.” Environmental and Resource Economics 59 (3): 363–87. https://doi.org/10.1007/s10640-013-9731-2.

    OpenUrl
27. ↵
    1. Jørgensen Sisse Liv,
    2. Bøye Olsen Søren,
    3. Ladenburg Joshua,
    4. Martinsen Louise,
    5. Roar Svenningsen Stig,
    6. Hasler Berit.

    2013. “Spatially Induced Disparities in Users’ and Non-users’ WTP for Water Quality Improvements: Testing the Effect of Multiple Substitutes and Distance Decay.” Ecological Economics 92 (1): 58–66. https://doi.org/10.1016/j.ecolecon.2012.07.015.

    OpenUrl
28. ↵
    1. Louviere Jordan J.,
    2. Islam Towhidul.

    2008. “A Comparison of Importance Weights and Willingness-to-Pay Measures Derived from Choice-Based Conjoint, Constant Sum Scales and Best-Worst Scaling.” Journal of Business Research 61 (9): 903–11. https://doi.org/10.1016/j.jbusres.2006.11.010.

    OpenUrlCrossRefWeb of Science
29. 1. Louviere Jordan J.,
    2. Street Deborah,
    3. Burgess Leonie,
    4. Wasi Nada,
    5. Islam Towhidul,
    6. Marley Anthony A.

    2008. “Modeling the Choices of Individual Decision-Makers by Combining Efficient Choice Experiment Designs with Extra Preference Information.” Journal of Choice Modelling 1 (1): 128–64. https://doi.org/10.1016/S1755-5345(13)70025-3.

    OpenUrlCrossRef
30. ↵
    1. Marley A. A. J.,
    2. Flynn T. N.

    2015. “Best Worst Scaling: Theory and Practice.” In International Encyclopedia of the Social and Behavioral Sciences, ed. Wright J. D. Oxford: Oxford Elsevier.
31. ↵
    1. Marsh Dan,
    2. Phillips Yvonne.

    2012. Difficult Choices: What Influences the Error Variance in a Choice Experiment? Paper presented at the New Zealand Agricultural and Resource Economics Society Conference, Nelson, August 31.
32. ↵
    1. Martin-Ortega J.,
    2. Brouwer R.,
    3. Ojea E.,
    4. Berbel J.

    2012. “Benefit Transfer and Spatial Heterogeneity of Preferences for Water Quality Improvements.” Journal of Environmental Management 106: 22–29. https://doi.org/10.1016/j.jenvman.2012.03.031.

    OpenUrlPubMed
33. ↵
    1. Mattea Stefania,
    2. Franceschinis Cristiano,
    3. Scarpa Riccardo,
    4. Thiene Mara.

    2016. “Valuing Landslide Risk Reduction Programs in the Italian Alps: The Effect of Visual Information on Preference Stability.” Land Use Policy 59: 176–84. https://doi.org/10.1016/j.landusepol.2016.08.032.

    OpenUrl
34. ↵
    1. Meyerhoff Jürgen.

    2013. “Do Turbines in the Vicinity of Respondents’ Residences Influence Choices among Programmes for Future Wind Power Generation?” Journal of Choice Modelling 7: 58–71. https://doi.org/10.1016/j.jocm.2013.04.010.

    OpenUrl
35. ↵
    1. Morrison Mark,
    2. Bennett Jeff.

    2004. “Valuing New South Wales Rivers for Use in Benefit Transfer.” Australian Journal of Agricultural and Resource Economics 48 (4): 591–611. https://doi.org/10.1111/j.1467-8489.2004.00263.x.

    OpenUrlCrossRefWeb of Science
36. 1. Revelt David,
    2. Train Kenneth.

    1998. “Mixed Logit with Repeated Choices: Households’ Choices of Appliance Efficiency Level.” Review of Economics and Statistics 80 (4): 647–57. https://doi.org/10.1162/003465398557735.

    OpenUrlCrossRefWeb of Science
37. ↵
    1. Revelt David,
    2. Train Kenneth.

    2000. “Customer-Specific Taste Parameters and Mixed Logit.” Working paper. Berkeley, CA: University of California, Department of Economics.
38. ↵
    1. Rose John M.,
    2. Bliemer Michiel C. J.

    2007. “Stated Preference Experimental Design Strategies.” In Handbook of Transport Modelling, ed. Hensher David A., Button Kenneth J., 151–80. Bingley, UK: Emerald Group.
39. ↵
    1. Scarpa Riccardo,
    2. Ferrini Silvia,
    3. Willis Kenneth.

    2005. “Performance of Error Component Models for Status-Quo Effects in Choice Experiments.” In Applications of Simulation Methods in Environmental and Resource Economics. The Economics of Non-market Goods and Resources, ed. Scarpa Riccardo, Alberini Anna, 247–73. Dordrecht, Netherlands: Springer.
40. ↵
    1. Scarpa Riccardo,
    2. Notaro Sandra,
    3. Louviere Jordan,
    4. Raffaelli Roberta.

    2011. “Exploring Scale Effects of Best/Worst Rank Ordered Choice Data to Estimate Benefits of Tourism in Alpine Grazing Commons.” American Journal of Agricultural Economics 93 (3): 813–28. https://doi.org/10.1093/ajae/aaq174.

    OpenUrlCrossRef
41. 1. Scarpa Riccardo,
    2. Rose John M.

    2008. “Design Efficiency for Non-market Valuation with Choice Modelling: How to Measure It, What to Report and Why.” Australian Journal of Agricultural Resource Economics 52 (3): 253–82. https://doi.org/10.1111/j.1467-8489.2007.00436.x.

    OpenUrl
42. 1. Scarpa Riccardo,
    2. Willis Kenneth,
    3. Acutt Melinda.

    2007. “Valuing Externalities from Water Supply: Status Quo, Choice Complexity, and Individual Random Effects in Panel Kernel Logit Analysis of Choice Experiments.” Journal of Environmental Planning and Management 50 (4): 449–66. https://doi.org/10.1080/09640560701401861.

    OpenUrl
43. ↵
    1. Schaafsma Marije,
    2. Brouwer Roy,
    3. Rose John M.

    2012. “Directional Heterogeneity in WTP Models for Environmental Valuation.” Ecological Economics 79: 21–31. https://doi.org/10.1016/j.ecolecon.2012.04.013.

    OpenUrl
44. ↵
    1. Termansen Mette,
    2. Zandersen Marianne,
    3. McClean Colin J.

    2008. “Spatial Substitution Patterns in Forest Recreation.” Regional Science and Urban Economics 38 (1): 81–97. https://doi.org/10.1016/j.regsciurbeco.2008.01.006.

    OpenUrl
45. ↵
    1. Thiene Mara,
    2. Scarpa Riccardo.

    2008. “Hiking in the Alps: Exploring Substitution Patterns of Hiking Destinations.” Tourism Economics 14 (2): 263–82. https://doi.org/10.5367/000000008784460445.

    OpenUrlCrossRef
46. ↵
    1. Train Kenneth E.

    2009. Discrete Choice Methods with Simulation. Cambridge: Cambridge University Press.
47. ↵
    1. Train Kenneth E.,
    2. Sonnier Garrett.

    2005. “Mixed Logit with Bounded Distributions of Correlated Partworths.” In Applications of Simulation Methods in Environmental and Resource Economics. The Economics of Non-market Goods and Resources, ed. Scarpa Riccardo, Alberini Anna, 117–34. Dordrecht, Netherlands: Springer.
48. ↵
    1. Van Bueren Martin,
    2. Bennett Jeffrey.

    2004. “Towards the Development of a Transferable Set of Value Estimates for Environmental Attributes.” Australian Journal of Agricultural and Resource Economics 48 (1): 1–32. https://doi.org/10.1111/j.1467-8489.2004.t01-1-00228.x.

    OpenUrlCrossRefWeb of Science
49. ↵
    1. Von Haefen Roger H.

    2003. “Incorporating Observed Choice into the Construction of Welfare Measures from Random Utility Models.” Journal of Environmental Economics and Management 45 (2): 145–65. https://doi.org/10.1016/S0095-0696(02)00047-5.

    OpenUrlCrossRefWeb of Science
50. ↵
    1. Yao Richard T.,
    2. Scarpa Riccardo,
    3. Turner James A.,
    4. Barnard Tim D.,
    5. Rose John M.,
    6. Palma João H.,
    7. Harrison Duncan R.

    2014. “Valuing Biodiversity Enhancement in New Zealand’s Planted Forests: Socioeconomic and Spatial Determinants of Willingness-to-Pay.” Ecological Economics 98: 90–101. https://doi.org/10.1016/j.ecolecon.2013.12.009.

    OpenUrl