2020/08/02 by Patrick Toman, Toman, Patrick, Jingyue Zhang +5
Engineering · Social Sciences · #Applications (stat.AP) #FOS: Computer and information sciences #Transportation Planning and Optimization #Transportation and Mobility Innovations #Urban Transport and Accessibility #Urban and Freight Transport Logistics
paper · pdf · doi:10.48550/arxiv.2008.00568
openalex publication_date 2020/08/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The burst of demand for TNCs has significantly changed the transportation\nlandscape and dramatically disrupted the Vehicle for Hire (VFH) market that\nused to be dominated by taxicabs for many years. Since first being introduced\nby Uber in 2009, ridesourcing companies have rapidly penetrated the market.\nThis paper aims to investigate temporal and spatial patterns in taxi and TNC\nusage based on data at the taxi zone level in New York City. Specifically, we\nfit suitable time series models to estimate the temporal patterns. Next, we\nfilter out the temporal effects and investigate spatial dependence in the\nresiduals using global and local Moran's I statistics. We discuss the\nrelationship between the spatial correlations and the demographic and land use\neffects at the taxi zone level. Estimating and removing these effects via a\nmultiple linear regression (MLR) model and recomputing the Moran's I statistics\non the resulting residuals enables us to investigate spatial dependence after\naccounting for these effects. Our analysis indicates interesting patterns in\nspatial correlations between taxi zones in NYC and over time, indicating that\npredictive modeling of ridesourcing usage must incorporate both temporal and\nspatial dependence.\n