Kim, J I (2014) Methodology for the application of BIM-based decision support methods to evaluate sustainability metrics for master plans of a large-scale development. DEng thesis, Stanford University, USA.
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.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Fischer, M |
| Uncontrolled Keywords: | reasoning; sustainability; visualization |
| Index terms: | scale development, 4D visualization, virtual design and construction, implementation, strategy, decision support, reasoning, performance metric, environmental sustainability, visualization, mapping, methodology |
| Subjects: | decision analysis, measurement and scaling, management, design practice, performance measurement, cognitive psychology, digital design, health safety and environment, spatial and geospatial analysis, research methods, contractual arrangements, visualization |
| Topics: | Research Practice, Business Strategy, Design Practice, Digital Applications, Health and Safety, Procurement, Risk Management, Quality Management |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here