A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Multimethod Modeling and Simulation Supporting Urban Planning Decisions
This chapter reflects on why multimethod simulation is gaining increasing numbers of supporters. The chapter illustrates advantages and disadvantages of combining different modeling methods and presents a specialized software tool—the MASGISmo simulation platform. The theoretical discussion is supported with results obtained from different simulation projects. The chapter argues how an urban development model using a multimethod approach can support policy makers and urban planners in implementing robust and better acknowledged planning measures. Agent-based modeling (ABM) is used to enable model users to interpret and react to information from different levels of the urban spatial hierarchy within the simulation. The contribution also points out the value added by combining ABM with system dynamics modeling along with the use of geographical information system data. Finally, the chapter discusses how a new way of real stakeholder interactivity within the simulation can be achieved in order to improve the model.
Multimethod Modeling and Simulation Supporting Urban Planning Decisions
This chapter reflects on why multimethod simulation is gaining increasing numbers of supporters. The chapter illustrates advantages and disadvantages of combining different modeling methods and presents a specialized software tool—the MASGISmo simulation platform. The theoretical discussion is supported with results obtained from different simulation projects. The chapter argues how an urban development model using a multimethod approach can support policy makers and urban planners in implementing robust and better acknowledged planning measures. Agent-based modeling (ABM) is used to enable model users to interpret and react to information from different levels of the urban spatial hierarchy within the simulation. The contribution also points out the value added by combining ABM with system dynamics modeling along with the use of geographical information system data. Finally, the chapter discusses how a new way of real stakeholder interactivity within the simulation can be achieved in order to improve the model.
Multimethod Modeling and Simulation Supporting Urban Planning Decisions
Understanding Complex Systems
Walloth, Christian (editor) / Gurr, Jens Martin (editor) / Schmidt, J. Alexander (editor) / Gebetsroither-Geringer, Ernst (author)
Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling ; Chapter: 2 ; 13-27
2013-12-15
15 pages
Article/Chapter (Book)
Electronic Resource
English
Multimethod-modeling , Simulation platform , Agent-based modeling , Multi-agent system modeling , System dynamics modeling , Geographic information systems , Urban planning , Spatial simulation , Decision support system Engineering , Complexity , Data-driven Science, Modeling and Theory Building , Applications of Nonlinear Dynamics and Chaos Theory
Physical environmental modeling, visualization and query for supporting landscape planning decisions
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Multimethod Supply Chain Simulation Model for High-Rise Building Construction Projects
| British Library Online Contents | 2018