Left to Right: Carlos Braceras, Craig Hancock, Tom Furlani, Keiron Bailey, Benjamin Blanford, Ted Grossardt, John Ripy, Michael Manore, Johanna Zmud (photo courtesy of TRB)
TITLE:
“Integrated Transportation and Land Use Scenario Modeling Using Casewise Visual Evaluation (CAVE): Case Study Jeffersonville, IN” - TRB Paper No. 08-1025
ABSTRACT:
Transportation and Land Use Planning are generally poorly coordinated. This is aggravated by the fact that the preferences of the general public are not well integrated into either of these activities. Particularly, appropriate land use patterns that meet the needs and desires of the public and the public sector are difficult to develop because of their extreme complexity and potential for disproportionate impacts on citizens. A Structured Public Involvement (SPI) protocol was developed to allow large groups of citizens to participate efficiently and effectively in the Comprehensive Planning Process for a moderate sized town in Indiana, helping to partially overcome this problem.
Community Viz® was used as the visualization tool to help residents better understand the differences between potential land development patterns, and fuzzy set modeling was used to derive the complex interplay of development pattern properties that were most preferred and least preferred by citizens. The development patterns varied by percent mixture of housing types, percent mixture of land use types, percent given over to green space, the ratio of sidewalk to pavement area, and the connectivity of the road network. These five parameters were chosen as the most useful and fundamental measures of differences between development patterns, and citizens’ preferences were derived based on them.
Public input for this town was successfully modeled and the resulting preference patterns made available to city planners for use in updating their comprehensive plan. This research demonstrates a practical method of involving citizens in an orderly, useful manner in questions of joint transportation and land use planning.
