Exploratory Use of Raster Images as a Data Source for Agricultural Commodity Transportation Modeling
In the area of freight planning, particularly in commodity modeling, it is often a daunting task to identify data sources, especially data disaggregate to county or less than county levels. If one considers the case of agricultural commodities, information availability is further reduced since agricultural census data collection is infrequent and is not complete in terms of crops covered, nor does data exist below the county level in terms of geographical aggregation. Additionally, data sources such as the Freight Analysis Framework, FAF, often present annual data. Since transportation models are usually developed for peak periods and/or typical days, the traditional assumption of flat peak factors are not valid for agricultural commodities that are seasonal and that have seasonal patterns with inter-state and intra-state variations. CropScape is a tool from the United States Department of Agriculture (USDA) that provides complete coverage for the 48 contiguous states and reports all crops with a spatial resolution of less than one acre. It is in this setting that the authors tested the use of CropScape in two different analyses: FAF disaggregation and seasonality analysis. The authors present results that include models for FAF disaggregation that greatly outperform the best models currently available in the literature and a procedure for computing agricultural seasonality for any desired geographical aggregation.
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Supplemental Notes:
- This paper was sponsored by TRB committee ABJ90 Freight Transportation Data. Alternate title: Exploratory Use of Raster Images as Data Source for Freight Modeling.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Camargo, Pedro V
- McNally, Michael G
- Ritchie, Stephen G
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Conference:
- Transportation Research Board 93rd Annual Meeting
- Location: Washington DC
- Date: 2014-1-12 to 2014-1-16
- Date: 2014
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References; Tables;
- Pagination: 16p
- Monograph Title: TRB 93rd Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Agricultural products; Crops; Data analysis; Disaggregate analysis; Freight transportation; Seasons
- Identifier Terms: Freight Analysis Framework
- Geographic Terms: United States
- Subject Areas: Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01516336
- Record Type: Publication
- Report/Paper Numbers: 14-3280
- Files: TRIS, TRB, ATRI
- Created Date: Feb 28 2014 1:32PM