Abstract Environmental outcomes are often affected by the stochastic nature of environment and ecosystem, as well effectiveness governmental policy in combination with human activities. Incorporating information about risk discrete choice experiments has been suggested to enhance survey credibility. Although some studies have incorporated design treated it either weights corresponding environme...

This paper applies nonparametric and semiparametric methods to investigate the distribution of the value of travel time (VOT) from experimental binary choice data using minimal prior distributional assumptions. Using a large dataset, results indicate that the VOT is approximately distributed as lognormal within the range for which observations exist. This implies that the lognormal would be sui...

A new laboratory experiment is designed to identify the best theories for describing decisions under risk. The experimental design has two noteworthy features: a representative sample of binary choice problems (for fair comparison across theories) and a lottery set with a small number of outcomes and probabilities (for ease of non-parametric estimation). We find that a simple heuristic, rank-de...

nonlinear knapsack problems (nkp) are the alternative formulation for the multiple-choice knapsack problems. a powerful approach for solving nkp is dynamic programming which may obtain the global op-timal solution even in the case of discrete solution space for these problems. despite the power of this solu-tion approach, it computationally performs very slowly when the solution space of the pr...

There is emerging interest in the use of discrete choice experiments as a means of quantifying the perceived balance between benefits and risks (quantitative benefit-risk assessment) of new healthcare interventions, such as medicines, under assessment by regulatory agencies. For stated preference data on benefit-risk assessment to be used in regulatory decision making, the methods to generate t...

Surveys focusing on choice behaviour, and in particular, Discrete Choice Experiments (DCEs) are widely used in studies across many disciplines, including transportation, marketing research, health economics, labour economics and environmental studies. Investigation of the 'rationality' of responses in choice experiments has received a fair bit of attention from researchers. Most of this researc...

Agent-based modeling is a promising method to investigate market dynamics, as it allows modeling the behavior of all market participants individually. Integrating empirical data in the agentsrsquo; decision model can improve the validity of agent-based models (ABMs). We present an approach of using discrete choice experiments (DCEs) to enhance the empirical foundation of ABMs. The DCE method is...

This paper considers the application of discrete choice experiments for eliciting preferences in the delivery of health care. Drawing upon the results from a recently completed systematic review, the paper summarises the application of this technique in health care. It then presents a case study applying the technique to rheumatology outpatient clinics. 200 patients were questioned about the im...