Integrating Models for Complex Planning Policy Analysis: Challenges and a Solution in Coupling Dissimilar Models

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dc.contributor.authorMoeckel, Rolf
dc.contributor.authorShahumyan, Harutyun
dc.date.accessioned2018-12-13T16:38:43Z
dc.date.available2018-12-13T16:38:43Z
dc.date.issued2015
dc.description.abstractIt 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.en_US
dc.identifierhttps://doi.org/10.13016/M2SX64F0V
dc.identifier.urihttp://hdl.handle.net/1903/21517
dc.language.isoen_USen_US
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md)
dc.subjectLand Useen_US
dc.subjectModelingen_US
dc.subjectTransportationen_US
dc.subjectmodel integrationen_US
dc.subjectcouplingen_US
dc.subjectPythonen_US
dc.subjectSILOen_US
dc.subjectMSTMen_US
dc.subjectCUBEen_US
dc.subjectArcGISen_US
dc.titleIntegrating Models for Complex Planning Policy Analysis: Challenges and a Solution in Coupling Dissimilar Modelsen_US
dc.typeArticleen_US

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