Numerous articles dealing with stated preferences are published every year in journals related to agriculture, environment, or health. Hence, it is not easy to find all the relevant articles when performing a benefit transfer, a meta-analysis, or a review of literature. Also, it is not easy to identify trends or common practices in these fields regarding the elicitation method. We have constructed and made available a unique database comprising 1657 choice experiment and/or contingent valuation articles published in journals related to agriculture, environment, or health between 2004 and 2016. We show that the number of choice experiment studies keeps increasing and the single-bounded dichotomous choice format is the most employed question format in contingent valuation studies. We also consider the new nomenclature proposed by Carson and Louviere and we show that the Bdiscrete choice experiment^is more popular than the Bmatching method,^especially in journals related to agriculture.

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This is a repository copy of Modelling residential mobility decision and its impact on car ownership and travel mode.

This paper introduces a new shifted negative log‐normal distribution for the price parameter in mixed multinomial logit models. The new distribution, labeled as the μ‐shifted negative log‐normal distribution, has desirable properties for welfare analysis and in particular a point mass that is further away from zero than the negative log‐normal distribution. This contributes to mitigating the “exploding” implicit prices issue commonly found when the price parameter is specified as negative log‐normal and the model is in preference space. The new distribution is tested on five stated preference datasets. Comparisons are made with standard alternative approaches such as the willingness‐to‐pay (WTP) space approach. It is found that the μ‐shifted distribution yields substantially lower mean marginal WTP estimates compared to the negative log‐normal specification and similar to the values derived from models estimated in WTP‐space with flexible distributions, while at the same time fitting the data as well as the negative log‐normal specification.

Recent work in transport research has increasingly tried to broaden out beyond traditional areas such as mode choice or car ownership and has tried to position travel decisions within the broader life context. However, while important progress has been made in terms of how to capture these additional dimensions, both in terms of detailed tracking of movements and in-depth data collection of long term decisions or social network influences, surveys have tended to look at only a handful (or often one) of these issues in isolation, especially at the data collection end. Making these links is the key aim of the data collection described in this paper. We conducted a comprehensive survey capturing respondents' travel, energy and residential choices, their social environment, life history and short-term travel patterns. The survey is composed of a detailed background questionnaire, a life-course calendar and a name generator and name interpreter. Participants were also required to use a smartphone tracking app for two-weeks. We believe that this is an unprecedented effort that joins complexity of the survey design, amount of information collected and sample size. The present paper gives a detailed overview of the different survey components and provides initial insights into the resulting data. We share lessons that we have learned and explain how our decisions in terms of specification were shaped by experiences from other data collections.