Agent-Based Modeling of physical activity behavior and environmental correlations: An introduction and illustration

Weimo Zhu, Zorica Nedovic-Budic, Robert B. Olshansky, Jed Marti, Yong Gao, Youngsik Park, Edward McAuley, Wojciech Chodzko-Zajko

Research output: Contribution to journalArticle

Abstract

Purpose: To introduce Agent-Based Model (ABM) to physical activity (PA) research and, using data from a study of neighborhood walkability and walking behavior, to illustrate parameters for an ABM of walking behavior. Method: The concept, brief history, mechanism, major components, key steps, advantages, and limitations of ABM were first introduced. For illustration, 10 participants (age in years: mean = 68, SD = 8) were recruited from a walkable and a nonwalkable neighborhood. They wore AMP 331 triaxial accelerometers and GeoLogger GPA tracking devices for 21 days. Data were analyzed using conventional statistics and highresolution geographic image analysis, which focused on a) path length, b) path duration, c) number of GPS reporting points, and d) interaction between distances and time. Results: Average steps by subjects ranged from 1810-10,453 steps per day (mean = 6899, SD = 3823). No statistical difference in walking behavior was found between neighborhoods (Walkable = 6710 ± 2781, Nonwalkable = 7096 ± 4674). Three environment parameters (ie, sidewalk, crosswalk, and path) were identified for future ABM simulation. Conclusion: ABM should provide a better understanding of PA behavior's interaction with the environment, as illustrated using a real-life example. PA field should take advantage of ABM in future research.

Original languageEnglish (US)
Pages (from-to)309-322
Number of pages14
JournalJournal of Physical Activity and Health
Volume10
Issue number3
DOIs
StatePublished - Mar 2013

Keywords

  • Environment
  • GPS
  • Mapping
  • Statistical modeling

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine

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