Document Type
Report
Abstract
This report uses geographic data to identify development predictors and assemble site-ranking scorecards for deck park development. Deck parks are an increasingly popular, if understudied, urban intervention often used to mitigate the effects of highway development, pedestrianized urban areas, and promote development. This research collected data from 19 parks across the United States using the American Community Survey and observed Geospatial Features to develop predictors that relate to deck park implementation measured in $/ft^2. Predictors were analyzed using Pearson correlation testing to assess if there was a significant correlation between certain variables. If a correlation was found, predictors were moved to subsequent rounds of regression analysis to test null hypotheses. Non-experimental analysis showed that predictors from the American Community Survey and observed Geospatial Feature categories had significant relationships with deck park development (p < 0.05). Of 151 variables originally developed from data collection, 6 were found to significantly predict deck park development and disprove their null hypotheses. Four scorecards that integrated results from correlation and regression analysis were developed to compare and rank potential deck park locations. Three potential deck park locations identified by the city of Dallas were scored to observe how results varied between scorecards.
The scorecard that integrated correlation results was found to be the most insightful and complex scorecard and included only variables that could test null hypotheses and answer research questions. This scorecard can be used with a correlation-based scorecard for further insight and verification across a larger number of variables. Practitioners may benefit from developing their scoring methods according to available data and desired outcomes. Resulting scorecards can be useful for ranking and comparing proposed deck park locations but should not be used in favor of other methods that incorporate stakeholder feedback and community engagement
Disciplines
Cultural Resource Management and Policy Analysis | Urban, Community and Regional Planning
Publication Date
Spring 5-7-2025
Language
English
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Morrow, Archer J., "Identifying Predictors and Scorecard Ranking Systems for Deck Park Development" (2025). Planning Masters Professional Reports. 28.
https://mavmatrix.uta.edu/planning_reports/28
Included in
Cultural Resource Management and Policy Analysis Commons, Urban, Community and Regional Planning Commons
Comments
Advised by Dr. Deden Rukmana