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dc.contributor.authorMoeckel, Rolf
dc.contributor.authorDonnelly, Rick
dc.date.accessioned2019-03-14T14:24:43Z
dc.date.available2019-03-14T14:24:43Z
dc.date.issued2014
dc.identifierhttps://doi.org/10.13016/uffe-h6io
dc.identifier.urihttp://hdl.handle.net/1903/21793
dc.description.abstractFinding the appropriate spatial resolution in modeling is a serious challenge at the beginning of every modeling project. The paper presents a methodology to adjust the spatial geography to the resolution of a network. Based on the quadtree algorithm, raster cells are generated that are dynamic in size. Smaller raster cells are used in urban areas and larger raster cells are used in low-density, rural areas. Trip tables of a travel demand model for the State of Georgia are disaggregated to this new zone system of raster cells, and assignment results validate significantly better than when using the original zone system.en_US
dc.language.isoen_USen_US
dc.rightsThis paper was peer-reviewed by TRB and presented at the 93rd Annual Meeting of the Transportation Research Board, Washington, D.C., January 2014.
dc.subjectLand Useen_US
dc.subjectTransportationen_US
dc.subjectspatial resolutionen_US
dc.subjecttravel demand modelen_US
dc.titleGradual Rasterization: Redefining the Spatial Resolution in Transport Modelingen_US
dc.typeArticleen_US
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md)


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