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Updated: Apr 3, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
The Volatility of Data Space: Topology Oriented Sensitivity Analysis
Jing Du1, Arika Ligmann-Zielinska2
1Department of Construction Science, Texas A&M University, Francis Hall 334, TAMU, College Station, TX 77840, United States of America.
Abstract:
Despite the difference among specific methods, existing Sensitivity Analysis (SA) technologies are all value-based, that is, the uncertainties in the model input and output are quantified as changes of values. This paradigm provides only limited insight into the nature of models and the modeled systems. In addition to the value of data, a potentially richer information about the model lies in the topological difference between pre-model data space and post-model data space. This paper introduces an innovative SA method called Topology Oriented Sensitivity Analysis, which defines sensitivity as the volatility of data space. It extends SA into a deeper level that lies in the topology of data.
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