Understanding spatio-temporal variation of regional taxi flows in New York City

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dc.contributor Appiah-Opoku, Seth
dc.contributor Jones, Steven L.
dc.contributor.advisor Weber, Joe
dc.contributor.author Fang, Ting
dc.date.accessioned 2018-01-19T19:37:42Z
dc.date.available 2018-01-19T19:37:42Z
dc.date.issued 2017
dc.identifier.other u0015_0000001_0002723
dc.identifier.other Fang_alatus_0004M_13128
dc.identifier.uri http://ir.ua.edu/handle/123456789/3361
dc.description Electronic Thesis or Dissertation
dc.description.abstract With the arrival of Big Data Age, how to mining useful information hidden behind big data has become a hot topic in Geographic Information Science (GIScience). This study examined the spatio-temporal variation of regional taxi flows by analyzing a Big Data set of taxi trips in New York City (NYC) and the research combined the knowledge and methods of spatial statistics and visualization to extract the variation in both spatial and time dimensions. First, the spatial pattern of the overall taxi volume was analyzed by the Moran’s I Local Indicators of Spatial Association (LISA) to measure where the clusters are and how they vary from place to place each one-hour time segment of one day. In addition, the spatio-temporal pattern of the netflow was visualized in 3D-GIS environment to measure where “source” areas are, as well as using Empirical Orthogonal Function (EOF) to extract the primary information of the outgoing flow (outflow). Lastly, in order to explore the year level pattern, multivariate mapping was established to compare the areas with high/low outflows in 2015 with those in 2012 and 2009, respectively. The final results revealed a more specific understanding of regional taxi flows including the patterns of the overall flow, netflow, and outflow in NYC.
dc.format.extent 90 p.
dc.format.medium electronic
dc.format.mimetype application/pdf
dc.language English
dc.language.iso en_US
dc.publisher University of Alabama Libraries
dc.relation.ispartof The University of Alabama Electronic Theses and Dissertations
dc.relation.ispartof The University of Alabama Libraries Digital Collections
dc.relation.hasversion born digital
dc.rights All rights reserved by the author unless otherwise indicated.
dc.subject.other Geography
dc.subject.other Computer science
dc.subject.other Statistics
dc.title Understanding spatio-temporal variation of regional taxi flows in New York City
dc.type thesis
dc.type text
etdms.degree.department University of Alabama. Dept. of Geography
etdms.degree.discipline Geography
etdms.degree.grantor The University of Alabama
etdms.degree.level master's
etdms.degree.name M.S.


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