THE GIS-BASED HUMAN-INTERACTIVE TAZ DESIGN ALGORITHM - EXAMINING THE IMPACTS OF DATA AGGREGATION ON TRANSPORTATION-PLANNING ANALYSIS

An aggregate approach (traffic analysis zones, TAZs) has been used to conduct conventional transportation-planning analysis. The impact of a TAZ (sizes and boundaries) on traffic demand estimates and evaluation of transportation systems, however, has not been addressed adequately in the literature, In this paper I will attempt to examine the impact of spatial data aggregation on transportation by generating TAZ alter natives and building linkages among land use, transportation, and GIS. This paper consists of two major components. In the first, attention is focused on the discussion of the GIS-based interface system which l inks land use, transportation, and GIS. The GIS-based interface system also includes a GIS-based human-interactive TAZ design algorithm that generates TAZ alternatives. In the second, I concentrate on the exami nation of the impact of TAZs on transportation. This is conducted by s imulations, which create TAZ alternatives and report final estimates o f traffic demand and evaluation of transportation systems. It is concl uded that spatial data aggregation affects the outcomes of transportat ion-planning models significantly, particularly when the number of TAZ s is small.