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Integrating Models for Complex Planning Policy Analysis: Challenges and a Solution in Coupling Dissimilar Models
Author(s)
Date Issued
2015-07-10
Date Available
2017-01-16T13:19:21Z
Abstract
It is an expensive and time consuming task to develop a new model. Besides, a single model often cannot provide answers required for integrated decision making. Therefore, coupling existing models is often used for model integration. The paper provides an overview of possible model integration approaches, briefly explains the models of a particular application and focuses on the integration methods applied in this research. While the initial attempt was to integrate all models as tightly as possible, the authors developed a much more agile integration approach. Python wrappers were developed to loosely couple land-use, transportation and emission models developed in different environments. ArcGIS Model Builder was used to provide a graphical user interface and to present the models' workflow. The suggested approach is efficient when the models are developed in different programming languages, their source codes are not available or the licensing restrictions make other coupling approaches infeasible.
Type of Material
Conference Publication
Publisher
Computers in Urban Planning and Urban Management
Language
English
Status of Item
Peer reviewed
Journal
Ferreira, J. Jr. and Goodspeed, R. (eds.) Proceedings of 14th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2015): Planning Support Systems and Smart Cities
Conference Details
14th International Conference on Computers in Urban Planning and Urban Management (CUPUM): Planning Support Systems and Smart Cities, MIT, Boston, USA, 7-10 July 2015
ISBN
9780692474341
This item is made available under a Creative Commons License
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CUPUM2015-Paper208-Model_Integration.pdf
Size
863.31 KB
Format
Adobe PDF
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