This dataset contains travel times, distances and fare information for six modes of transport between taxi zone pairs in New York City as well as evaluated citywide impacts in travel times and mileage from the choice simulation model. The travel times, fares and distances are retrieved 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 project built a city-wide mode-choice simulation model in NYC capable of assessing the mode-shift related to ride-sharing services and other intervention scenarios such as Manhattan Congestion surcharge. The 'data_description.docx' file contains relevant information about the files. The 'Mode-shift-Probabilistic-simulation-framework-main.zip' file has relevant code for the project with description