Theodore Grossardt | University of Kentucky (original) (raw)

Papers by Theodore Grossardt

Research paper thumbnail of Toward structured public involvement: Justice, geography and collaborative geospatial/geovisual decision support systems

Annals of the Association of American …, 2009

and-conditions-of-access.pdf This article may be used for research, teaching and private study pu... more and-conditions-of-access.pdf This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material.

Research paper thumbnail of Community design of a light rail transit-oriented development using casewise visual evaluation (CAVE)

Socio-Economic Planning Sciences, 2007

Research paper thumbnail of Bridging the Quantitative-Qualitative Divide in Public Participation: A Learning Model Approach

Transportation Research Record: Journal of the Transportation Research Board

There exists a gap between the quality of public participation practices experienced by communiti... more There exists a gap between the quality of public participation practices experienced by communities and the quality they expect. This paper presents the theory and case study of applying a learning model to a transportation project to help close that gap. Such learning models are widely used in other public sector realms, but heretofore not applied to transportation planning projects. Through application of this approach, residents of the community were able to specify purpose and need outcomes that were not anticipated by the agency. Further, these qualitative outcomes were able to be evaluated quantitatively by the community and incorporated into the overall assessment of alternatives. As a result, the desired process outcome of partnership was more fully realized for this project.

Research paper thumbnail of Expert Systems Archeological Predictive Model

Transportation Research Record: Journal of the Transportation Research Board, 2014

This paper reports on the deployment of a predictive model that combines spatial analysis and fuz... more This paper reports on the deployment of a predictive model that combines spatial analysis and fuzzy logic modeling to translate expert archaeological knowledge into predictive surfaces. Analytic predictive archaeological models have great utility for state DOT's, and some states have invested millions of dollars in them. However, classic statistical modeling approaches often require too much data, and are are subject to the question of whether areas are categorized as low probability a)because no sites are there or b) because there have been no surveys there. By contrast, this modeling process can build robust models around typically sparse archaeological data, and is not subject to spatial bias. These models are intended to lower overall project costs by identifying corridors with a lower probability of archaeological sites, not to supplant field surveys once a corridor is chosen.

Research paper thumbnail of Toward structured public involvement: Justice, geography and collaborative geospatial/geovisual decision support systems

Annals of the Association of American …, 2009

and-conditions-of-access.pdf This article may be used for research, teaching and private study pu... more and-conditions-of-access.pdf This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material.

Research paper thumbnail of Community design of a light rail transit-oriented development using casewise visual evaluation (CAVE)

Socio-Economic Planning Sciences, 2007

Research paper thumbnail of Bridging the Quantitative-Qualitative Divide in Public Participation: A Learning Model Approach

Transportation Research Record: Journal of the Transportation Research Board

There exists a gap between the quality of public participation practices experienced by communiti... more There exists a gap between the quality of public participation practices experienced by communities and the quality they expect. This paper presents the theory and case study of applying a learning model to a transportation project to help close that gap. Such learning models are widely used in other public sector realms, but heretofore not applied to transportation planning projects. Through application of this approach, residents of the community were able to specify purpose and need outcomes that were not anticipated by the agency. Further, these qualitative outcomes were able to be evaluated quantitatively by the community and incorporated into the overall assessment of alternatives. As a result, the desired process outcome of partnership was more fully realized for this project.

Research paper thumbnail of Expert Systems Archeological Predictive Model

Transportation Research Record: Journal of the Transportation Research Board, 2014

This paper reports on the deployment of a predictive model that combines spatial analysis and fuz... more This paper reports on the deployment of a predictive model that combines spatial analysis and fuzzy logic modeling to translate expert archaeological knowledge into predictive surfaces. Analytic predictive archaeological models have great utility for state DOT's, and some states have invested millions of dollars in them. However, classic statistical modeling approaches often require too much data, and are are subject to the question of whether areas are categorized as low probability a)because no sites are there or b) because there have been no surveys there. By contrast, this modeling process can build robust models around typically sparse archaeological data, and is not subject to spatial bias. These models are intended to lower overall project costs by identifying corridors with a lower probability of archaeological sites, not to supplant field surveys once a corridor is chosen.