Determining the appropriate survey population and the commodity to be valued are among the most fundamental design decisions for stated preference (SP) surveys. However, often little information is available about who in the population holds measurable value for the resource (the extent of the...

Recent policy debates suggest that geologic carbon sequestration (GS) likely will play an important role in a carbon-constrained future. As GS evolves from the analogous technologies and practices of enhanced oil recovery (EOR) operations to a long-term, dedicated emissions mitigation option,...

Determining the appropriate survey population and the commodity to be valued are among the most fundamental design decisions for stated preference (SP) surveys. However, often little information is available about who in the population holds measurable value for the resource (the extent of the...

Two experiments were designed to explore the existence of systematic differences in risk perceptions and risk attitudes between Chinese and US participants. The first experiment involved ranking monetary lotteries using measures of perceived riskiness and willingness to pay (WTP). Several simple...

Risk communications aim to affect recipients' understanding of specific risks, their trust and liking of the materials, affective responses, and associated behaviors. We developed communications about the number of construction workers expected to get hurt if building were permitted at the...

Substantial evidence indicates that information is distorted during decision making, but very few studies have assessed the distortion of probability and outcome information in risky decisions. In two studies involving six binary decisions (e.g., banning blood donations from people who have...

This paper illustrates the use of a statistical technique, finite mixture models, to fit the parameters in cumulative prospect theory. For a given decision, some individuals may adopt a gain frame, while others may adopt a loss frame. By using finite mixture models, the best fitting parameters...

Designing a robust sensor network to detect accidental contaminants in water distribution systems is a challenge given the uncertain nature of the contamination events (what, how much, when, where and for how long) and the dynamic nature of water distribution systems (driven by the random...