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Updated: Feb 24, 2026
16:14
Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
14.3K
Development of a dynamic framework to explain population patterns of leisure-time physical activity through
Leandro M T Garcia1, Ana V Diez Roux2, André C R Martins3
1University of Sao Paulo School of Public Health, Sao Paulo, Brazil. leandromtg@gmail.com.
Summary
This study introduces a dynamic model to understand how leisure-time physical activity (LTPA) patterns emerge. It highlights the interplay of psychological factors, built environments, and social influences on LTPA.
Area of Science:
- Public Health
- Behavioral Science
- Computational Modeling
Background:
- Limited understanding of dynamic mechanisms driving population-level leisure-time physical activity (LTPA) patterns.
- Existing frameworks often fail to capture the evolving nature of LTPA determinants.
- Need for models that integrate individual psychology with environmental and social factors.
Purpose of the Study:
- To develop a dynamic conceptual model of LTPA.
- To depict interactions between individual psychological attributes and environmental/social contexts.
- To inform the development of an agent-based model for exploring LTPA pattern emergence.
Main Methods:
- Integration of existing theories, empirical data from literature reviews, and expert opinions.
- Systematic expert assessment of an intermediary model version.
- Development of a dynamic conceptual model focusing on intention, built environment, and social environment.
Main Results:
- Intention is identified as the proximal determinant of LTPA.
- The built environment dynamically moderates the intention-LTPA relationship.
- LTPA is influenced by the social environment and individual behavior.
Conclusions:
- The conceptual model is robust, supported by evidence and expert consensus.
- The model provides a foundation for agent-based modeling of LTPA.
- Informs future data collection and analysis for understanding population LTPA patterns.
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