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Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
Spatial behavior analysis at the global level using fractal geometry.
1College of Letters, Arts & Sciences, University of Colorado, 1420 Austin Bluffs Parkway, Colorado Springs, CO 80918, USA. roger.sambrook@uccs.edu
Nonlinear Dynamics, Psychology, and Life Sciences
|December 26, 2007
Summary
Fractal dimension analysis reveals global city patterns mirror natural formations like coastlines. This validates fractal metrics for understanding human settlement and spatial behavior.
Area of Science:
- Geographic Information Science
- Urban Studies
- Complexity Science
Background:
- Settlement patterns are complex and challenging to quantify.
- Fractal dimension has been proposed as a metric for quantifying spatial patterns.
Purpose of the Study:
- To investigate global settlement patterns using fractal methods.
- To validate fractal dimension as a scale-independent measure for settlement analysis.
Main Methods:
- Application of fractal dimension estimation techniques.
- Analysis of settlement patterns at a global scale.
- Comparison of urban scaling behavior with natural geographic features.
Main Results:
- Global settlement patterns of large cities exhibit scaling behavior similar to coastlines and rivers.
- Fractal dimension effectively quantifies settlement patterns independently of scale.
- Fractal metrics show potential for correlation with other physical features.
Conclusions:
- Fractal dimension is a robust and scale-independent measure for quantifying human settlement patterns.
- The observed fractal nature of urban growth supports its use in spatial behavior models.
- This approach offers a valuable validation criterion for urban and spatial behavior models.
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