You are here: Home
/ Publication Information
Title: Logistic regression models of factors influencing the location of bioenergy and biofuels plants
Author: Young, T.M.; Zaretzki, R.L.; Perdue, J.H.; Guess, F.M.; Liu, X.;
Publication Series: Scientific Journal (JRNL)
Description: Logistic regression models were developed to identify significant factors that influence the location of existing wood-using bioenergy/biofuels plants and traditional wood-using facilities. Logistic models provided quantitative insight for variables influencing the location of woody biomass-using facilities. Availability of "thinnings to a basal area of 31.7m2/ha," "availability of unused mill residues," and "high density of railroad availability" had positive significant influences on the location of all wood-using facilities. "Median family income," "population," "low density of railroad availability," and "harvesting costs for logging residues" had negative significant influences on the location of all wood-using facilities. For larger woody biomass-using mills (e.g., biopower) availability of "thinnings to a basal area of 79.2m2/ha," "number of primary and secondary wood-using mills within an 128.8km haul distance," and "amount of total mill residues," had positive significant influences on the location of larger wood-using facilities. "Population" and "harvesting costs for logging residues" have negative significant influences on the location of larger wood-using facilities. Based on the logistic models, 25 locations were predicted for bioenergy or biofuels plants for a 13-state study region in the Southern United States.
Keywords: Bioenergy, Biofuels, Optimal sitting, Logistic regression models
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
XML: View XML
Young, T.M.; Zaretzki, R.L.; Perdue, J.H.; Guess, F.M.; Liu, X. 2011. Logistic regression models of factors influencing the location of bioenergy and biofuels plants. BioResources 6(1): 329-343.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility