Grantee Research Project Results
Publications submitted after final report Details for Grant Number R831839
Predicting the Relative Impacts of Urban Development Policies and On-Road Vehicle Technologies on Air Quality in the United States: Modeling and Analysis of a Case Study in Austin, Texas
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Reference Type | Citation | Progress Report Year (Date Added to Report) | Document Sources |
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Book Chapter | Wang X, Kockelman KM. Maximum simulated likelihood estimation with spatially correlated observations: a comparison of simulation techniques. In: Slodoba BW, ed. Transportation Statistics. Fort Lauderdale, FL: J. Ross Publishing, Inc., 2009, pp. 173-194. |
R831839 (2007) (03/07/12) |
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Journal Article | McDonald-Buller EC, Webb A, Kockelman KM, Zhou B. Effects of transportation and land use policies on air quality: a case study in Austin, Texas. Transportation Research Record: Journal of the Transportation Research Board 2010;2158:28-35. |
R831839 (Final) (11/19/18) |
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Journal Article | Wang X, Kockelman KM. Application of dynamic spatial ordered probit model: patterns of ozone concentration in Austin, Texas. Transportation Research Record: Journal of the Transportation Research Board 2009;2136:45-56. |
R831839 (Final) (11/19/18) |
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Journal Article | Zhou BB, Kockelman KM. Predicting the distribution of households and employment: a seemingly unrelated regression model with two spatial processes. Journal of Transport Geography 2009;17(5):369-376. |
R831839 (2007) (10/20/11) |
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Journal Article | Zhou B, Kockelman K, Lemp J. Applications of integrated transport and gravity-based land use models for policy analysis. Transportation Research Record:Journal of the Transportation Research Board 2009;2133:123-132. |
R831839 (Final) (11/19/18) |
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Journal Article | Zhou B, Kockelman K. Lessons learned in developing and applying land use model systems: parcel-based example. Transportation Research Record: Journal of the Transportation Research Board 2009;2133:75-82. |
R831839 (Final) (11/19/18) |
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The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.