New York City's travel information dataset (Project: Assessing the Mode-shift in NYC Resulting from Shared FHV)

This dataset contains travel times, distances and fare information for six modes of transport between taxi zone pairs in New York City. The data is collected from Google Maps and HERE Maps APIs as well as ride sharing mobile apps for a weekday morning rush hour (8am-11am). Uncertainty is incorporated in the data by calculating the metrics for 5 random origin-destination pairs for each taxi zone pair and measuring the average and standard deviation. The main research objective of the project is building a city-wide mode-choice simulation model in NYC in capable of assessing the mode-shift related to ride-sharing services.