A system dynamics model is composed of many variables. These variables simplify complex phenomena and provide a description of a system’s current state or problems. Basic variables that describe the real-world urban development can be established from the elements that make up a city’s different dimensions such as industry product, population growth and vacancy rate. The urban development framework takes a system-based approach by systemizing the city’s internal elements. The systemic variables then provide not only a clear reflection of the interactions between all of the sub-systems but also how they relate to the overall system. It is therefore very important to select the appropriate variables. Most variables of system dynamics models are, however, set up by the designer, served as a subjective and unscientific approach. This study therefore applies the Fuzzy Delphi Method to the selection process of system variables to increase the confidence of the model. This was accomplished by first examining the system relationships as well as the intent and meaning of the sub-system variables to be created. After establishing the criteria for variable selection, an empirical case study was used to devise the evaluation variables for each sub-system.

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Date created

• 2008 July 20-2008 July 24

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

License

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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ITEM CONTEXT

Part of

6cbae5a21467df4434abbc87da443217

Scope and Contents

Part of

ce498623f0349395d0a141a0525190a0

Scope and Contents

Part of

23d738ba88f8333bc39725f9cb5bd0b8

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Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives