Next Article in Journal / Special Issue
Model of the Russian Federation Construction Innovation System: An Integrated Participatory Systems Approach
Previous Article in Journal
Foreground and Background Components in Separable Complex Systems
Article Menu

Export Article

Open AccessArticle
Systems 2016, 4(3), 28;

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
Author to whom correspondence should be addressed.
Academic Editor: Ockie Bosch
Received: 2 June 2016 / Revised: 22 July 2016 / Accepted: 28 July 2016 / Published: 4 August 2016
Full-Text   |   PDF [3093 KB, uploaded 4 August 2016]   |  


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

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Eker, S.; Zimmermann, N. Using Textual Data in System Dynamics Model Conceptualization. Systems 2016, 4, 28.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Systems EISSN 2079-8954 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top