Discrete Choice Experiment data for street-level urban greening in Berlin

The data presented here are the outcome of a survey implemented in a Berlin neighborhood from January to March 2018. To begin to put a monetary value on street-level aspects of urban green, we used a discrete choice experiment to explore people’s preferences and willingness to pay for green features in an urban Neighborhood Management development zone in Berlin. An analysis was performed on the survey results using conditional logit and latent class logit models done in R. This dataset is complementary to the full research article, “Economic valuation of street-level urban greening: A case study from an evolving mixed-use area in Berlin” (Fruth et al., 2019). The analysis provided in the full article can be used to guide decision-making regarding urban greening and green building practices at both policy- and project-level, while the dataset available here can be used to provide insight about how our sample population responded and how the experiment could be replicated in context o...