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A GIS‐based traffic analysis zone design: implementation and evaluation
Authors:Jinsoo You  Zorica Nedović‐Budić  Tschangho John Kim
Institution:Department of Urban and Regional Planning , University of Illinois , Urbana‐Champaign, Champaign, IL, 61820, USA
Abstract:

The purpose of this paper is to implement an efficient method for GIS‐based traffic analysis zone (TAZ) design in order to evaluate and validate such a method. The method was developed by the authors.

Moran's I spatial autocorrelation coefficient and sample variance are used for evaluating the generated TAZs using the Champaign‐Urbana, IL region as a case study. Sensitivity analysis is also conducted to explore the fluctuations in TAZ generation outcomes. The evaluation, the validation as well as the TAZ design have been implemented with ARC/INFO GIS software on a UNIX workstation platform.
Keywords:Traffic Analysis Zone (TAZ)  Transportation Demand Modeling  Geographic Information System (GIS)  Geographic Information Systems for Transportation (GIS‐T)  Spatial Autocorrelation  Evaluation  Validation
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