Gradual Rasterization: Redefining the Spatial Resolution in Transport Modeling

dc.contributor.author	Moeckel, Rolf
dc.contributor.author	Donnelly, Rick
dc.date.accessioned	2019-03-14T14:24:43Z
dc.date.available	2019-03-14T14:24:43Z
dc.date.issued	2014
dc.description.abstract	Finding 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.identifier	https://doi.org/10.13016/uffe-h6io
dc.identifier.uri	http://hdl.handle.net/1903/21793
dc.language.iso	en_US	en_US
dc.relation.isAvailableAt	Digital Repository at the University of Maryland
dc.relation.isAvailableAt	University of Maryland (College Park, Md)
dc.rights	This paper was peer-reviewed by TRB and presented at the 93rd Annual Meeting of the Transportation Research Board, Washington, D.C., January 2014.
dc.subject	Land Use	en_US
dc.subject	Transportation	en_US
dc.subject	spatial resolution	en_US
dc.subject	travel demand model	en_US
dc.title	Gradual Rasterization: Redefining the Spatial Resolution in Transport Modeling	en_US
dc.type	Article	en_US

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