Clemens Pilgram

Several publications studying associations between land use and shared micromobility (such as dockless scooters and bicycles) rely on Negative Binomial regression models or similar, reporting the models’ untransformed coefficients. We demonstrate a new way of reporting the associations identified by such models: By reporting marginal effects for several different starting points resembling real-world locations rather than just coefficients, these models’ implications can be made more approachable to a lay audience. At the same time, we draw attention to the models’ limitations when applied to locations that are outliers in terms of density.