Eker, S;
Zimmermann, N;
(2016)
Using Textual Data in System Dynamics Model Conceptualization.
Systems
, 4
(3)
, Article 28. 10.3390/systems4030028.
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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.
| Type: | Article |
|---|---|
| Title: | Using Textual Data in System Dynamics Model Conceptualization |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3390/systems4030028 |
| Publisher version: | http://doi.org/10.3390/systems4030028 |
| Language: | English |
| Additional information: | © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | System dynamics, model conceptualization, textual data, qualitative data, coding |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1507957 |
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