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Systems 2016, 4(3), 28; doi:10.3390/systems4030028

Using Textual Data in System Dynamics Model Conceptualization

UCL Institute for Environmental Design and Engineering, The Bartlett School of Environment, Energy and Resources, University College London, Central House, 14 Upper Woburn Place, London WC1H ONN, UK
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Academic Editor: Ockie Bosch
Received: 2 June 2016 / Revised: 22 July 2016 / Accepted: 28 July 2016 / Published: 4 August 2016
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Abstract

Qualitative data is an important source of information for system dynamics modeling. It can potentially support any stage of the modeling process, yet it is mainly used in the early steps such as problem identification and model conceptualization. Existing approaches that outline a systematic use of qualitative data in model conceptualization are often not adopted for reasons of time constraints resulting from an abundance of data. In this paper, we introduce an approach that synthesizes the strengths of existing methods. This alternative approach (i) is focused on causal relationships starting from the initial steps of coding; (ii) generates a generalized and simplified causal map without recording individual relationships so that time consumption can be reduced; and (iii) maintains the links from the final causal map to the data sources by using software. We demonstrate an application of this approach in a study about integrated decision making in the housing sector of the UK. View Full-Text
Keywords: system dynamics; model conceptualization; textual data; qualitative data; coding system dynamics; model conceptualization; textual data; qualitative data; coding
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Eker, S.; Zimmermann, N. Using Textual Data in System Dynamics Model Conceptualization. Systems 2016, 4, 28.

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