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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.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 8 | |
| downloads | 1 |

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