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Spatio-temporal Pattern Analysis of Taxi Trips in New York City
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hochmair, Hartwig H. |
| Copyright Year | 2015 |
| Abstract | A growing number of extensive datasets provide transportation planners with the necessary means to analyze urban travel patterns and gain insight into urban dynamics. This paper explores the spatial and temporal variation of taxi trips in New York City (NYC) by analyzing 29 million trip records from a freely available dataset. The study examines the role of airports in trip generation and attraction, as well as the variation of travel speed during the day. Comparison of hourly trip frequencies between weekday and weekend in each district reveals similarities and differences in functional drivers of taxi trip demand. A negative binomial regression model is presented which predicts the number of taxi trips per district from subway, train, and bus infrastructure, as well as socio-economic and land use variables, where eigenvector spatial filtering is applied to explicitly model spatial autocorrelation. Independent of predictor variables, a combination of subway ridership and taxi trip numbers for each district in a modemix variable allows, using Local Indicators of Spatial Association statistics, to identify districts that exhibit an increased inclination towards taxi use and are currently poorly served by public transit. This approach could be used as a decision support tool for deciding where investments in rapid transit infrastructure and service would be particularly effective in order to increase transit mode share. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://flrec.ifas.ufl.edu/geomatics/hochmair/pubs/NYC_Taxi_Hochmair_2016_TRR_DraftLayout.pdf |
| Alternate Webpage(s) | http://docs.trb.org/prp/16-6511.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
