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

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dc.contributorAppiah-Opoku, Seth
dc.contributorJones, Steven L.
dc.contributor.advisorWeber, Joe
dc.contributor.authorFang, Ting
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2018-01-19T19:37:42Z
dc.date.available2018-01-19T19:37:42Z
dc.date.issued2017
dc.descriptionElectronic Thesis or Dissertationen_US
dc.description.abstractWith 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.en_US
dc.format.extent90 p.
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.otheru0015_0000001_0002723
dc.identifier.otherFang_alatus_0004M_13128
dc.identifier.urihttp://ir.ua.edu/handle/123456789/3361
dc.languageEnglish
dc.language.isoen_US
dc.publisherUniversity of Alabama Libraries
dc.relation.hasversionborn digital
dc.relation.ispartofThe University of Alabama Electronic Theses and Dissertations
dc.relation.ispartofThe University of Alabama Libraries Digital Collections
dc.rightsAll rights reserved by the author unless otherwise indicated.en_US
dc.subjectGeography
dc.subjectComputer science
dc.subjectStatistics
dc.titleUnderstanding spatio-temporal variation of regional taxi flows in New York Cityen_US
dc.typethesis
dc.typetext
etdms.degree.departmentUniversity of Alabama. Department of Geography
etdms.degree.disciplineGeography
etdms.degree.grantorThe University of Alabama
etdms.degree.levelmaster's
etdms.degree.nameM.S.
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