2001
DOI: 10.1016/s0921-8009(00)00207-x
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Experimenting with multi-attribute utility survey methods in a multi-dimensional valuation problem

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Cited by 23 publications
(9 citation statements)
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“…The MAUT has shortcomings. Russell et al (2001) found mixed empirical evidence about whether MAUT improved the internal consistency of preference surveys. MAUT also assumes that decision alternatives follow a known probability distribution.…”
Section: Multi-criteria Decision Analysis (Mcda)mentioning
confidence: 99%
“…The MAUT has shortcomings. Russell et al (2001) found mixed empirical evidence about whether MAUT improved the internal consistency of preference surveys. MAUT also assumes that decision alternatives follow a known probability distribution.…”
Section: Multi-criteria Decision Analysis (Mcda)mentioning
confidence: 99%
“…Nevertheless, to the best of our knowledge, applications of this approach published so far (i.e. Russell et al 2001;Kallas et al 2007) have not solved the problem of utility function functional form heterogeneity.…”
Section: Valuing Complex Environmental Goodsmentioning
confidence: 99%
“…Carson and Groves (2007) also point out the impact of the scale factor in CE and suggest that this might be the reason for validity tests having been undertaken with marginal values and not absolute ones. Last, it should be mentioned that the methodology proposed uses the type of questions that Gregory and Slovic (1997) were probably trying to avoid (complex contingent valuation questions), but even in applications following their road-map more closely (Russell et al 2001) the need for such questions cannot be avoided.…”
Section: Estimation Of Individual Utility Functionsmentioning
confidence: 99%
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“…A primary part of further tests is a non-trivial challenge to develop a survey based on CLIs and valued aspects of the environment that is complete enough to represent the holistic nature of ecosystems (e.g., forest, desert, wetland, stream, landscape), yet concise enough to hold respondents' interest. Some members of our team have recently developed and tested an experimental approach to such a survey that evolved out of the work described here, focused on forest ecosystems (Russell et al 2001). …”
Section: Final Thoughtsmentioning
confidence: 99%