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Connecting micro dynamics and population distributions in system dynamics models
Author(s) -
FallahFini Saeideh,
Rahmandad Hazhir,
Chen HsinJen,
Xue Hong,
Wang Youfa
Publication year - 2013
Publication title -
system dynamics review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.491
H-Index - 57
eISSN - 1099-1727
pISSN - 0883-7066
DOI - 10.1002/sdr.1508
Subject(s) - dynamics (music) , computer science , population , computation , macro , system dynamics , distribution (mathematics) , econometrics , statistics , mathematics , artificial intelligence , algorithm , demography , mathematical analysis , physics , sociology , acoustics , programming language
Researchers use system dynamics models to capture the mean behavior of groups of indistinguishable population elements (e.g. people) aggregated in stock variables. Yet many modeling problems require capturing the heterogeneity across elements with respect to some attribute(s) (e.g. body weight). This paper presents a new method to connect the micro‐level dynamics associated with elements in a population with the macro‐level population distribution along an attribute of interest without the need to explicitly model every element. We apply the proposed method to model the distribution of body mass index and its changes over time in a sample population of American women obtained from the U.S. National Health and Nutrition Examination Survey. Comparing the results with those obtained from an individual‐based model that captures the same phenomena shows that our proposed method delivers accurate results with less computation than the individual‐based model. Copyright © 2014 System Dynamics Society