Methodology for the application of bim-based decision support methods to evaluate sustainability metrics for master plans of a large-scale development
Abstract/Contents
- Abstract
- To achieve successful implementation of a large-scale development, a master plan for a large-scale development must create sufficient alternatives in a structured way and analyze multiple performance metrics, taking into account economic, social, and environmental sustainability in a timely manner. In addition, the master plan must analyze both construction and operation-related metrics over time. However, unstructured decision management and the inability to integrate multiple attributes of the traditional master plan prevent project participants from creating sufficient alternatives in a structured way. In addition, manual mapping and an unintegrated reasoning process prevent the participants from quickly analyzing multiple performance metrics over time. For this study, the CIFE team investigated the existing Virtual Design and Construction (VDC) methods to determine how to overcome the problems. Since the existing VDC methods had several limitations, the CIFE team was required to develop a methodology specific to the master plan of a large-scale development as well as an integrated decision-support system capable of 4D visualization, multiple metrics analysis, and display of the metrics over time. Specifically, the CIFE team, based on the VDC, has developed the Development Strategy Formulation and Evaluation Methodology (DSFEM); it moreover has developed the Development Strategy Simulator (DSS). The DSFEM supports the quick creation of alternative scenarios in a structured way, as well as a quick information search. The DSFEM also supports 4D visualization and analysis over time for multiple metrics. The DSS provides an automatic linking and mapping process that enhances the speed and consistency of the analysis. In addition, an integrated reasoning process enables the DSS to simulate development scenarios, analyze multiple metrics over time, and display the metrics simultaneously and in a timely manner. However, since there still are limitations in both the DSFEM and the DSS, the CIFE team recommends further development of the DSFEM and the DSS.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2014 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Kim, Jung In |
|---|---|
| Associated with | Stanford University, Department of Civil and Environmental Engineering. |
| Advisor | Fischer, Martin, 1960 July 11- |
| Thesis advisor | Fischer, Martin, 1960 July 11- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Jung In Kim. |
|---|---|
| Note | Submitted to the Department of Civil and Environmental Engineering. |
| Thesis | Thesis (Engineering)--Stanford University, 2014. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2014 by Jung In Kim
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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