Hamidi, Behzad (2015) A BIM-based object-oriented data model to support sustainable demolition waste management decision making at end-of-life. PhD thesis, Virginia Tech, USA.
Abstract
Sustainable demolition waste management is rarely practiced within the construction industry. This is mainly due to the fact that the decision-making process for sustainable demolition waste management is a very resource-demanding and time-consuming task in terms of data collection and data management. The decision-making process includes multiple analyses of possible demolition waste management alternatives from economic, environmental, and social perspectives. Such analyses require waste managers to capture and manage huge amounts of data scattered within fragmented data sources at the end-of-life of a building. The process of capturing and managing this information for the building end-of-life would be time-consuming and costly. Therefore, the waste managers are reluctant to pursue sustainable demolition waste management practices in order to prevent potential delays and incurred costs. This research identified information that is required to conduct sustainable demolition waste management analyses. The identified information was then classified based on information sources. An object-oriented data model (OODM) was proposed to allow the waste managers to more efficiently store and manage the information at the end-of-life phase. Furthermore, a sustainable demolition waste management prototype application was developed to demonstrate how the required information is captured from different sources of data, stored within OODM classes, and retrieved from the integrated database. Finally, the proposed OODM was verified in terms of its scope, flexibility, and implementability. The goal of the research is to offer a method for storing and managing end-of-life information in an efficient and effective manner to support sustainable demolition waste management decision making. To achieve the goal, this dissertation outlines the objectives of the research, the methodologies used in developing the object-oriented data model, conclusions, limitations, and potential future research work.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Turkaslan Bulbul, Muhsine Tanyel; Thabet, Walid; Lucas, Jason D and Pearce, Annie R |
| Uncontrolled Keywords: | end-of-life; sustainable demolition waste management; building information model; object-oriented data modeling |
| Index terms: | manager, prototype, data model, management practice, methodology, management decision, demolition waste, decision-making process, data management, database, construction industry, dissertation, data modelling |
| Subjects: | research methods, decision-making and reasoning, research dissemination and communication, waste management, practitioner, data management, decision analysis, industry analysis, management, modelling and simulation, data science |
| Topics: | Sustainability, Risk Management, Engineering Principles, Roles and Professions, Research Practice, Business Strategy, Digital Applications |
| Descriptive scope: | 3 PCT |
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