The document discusses travel mode choice modeling for air-taxis or electric vertical take-off and landing vehicles (eVTOL) for on-demand urban air mobility. It describes developing a discrete choice model to estimate demand for air-taxis using a stated preference survey. The survey collected data on individual preferences and travel times and costs by existing and potential air-taxi modes for airport transfers. The analysis used multinomial and mixed logit models to estimate mode shares and predict demand at potential skyport locations based on individual attributes like age, income, and trip purpose. The results provide insights for planning skyport infrastructure to serve high demand areas.