Dissertation/Thesis Abstract

Environmental information modeling: An integration of Building Information Modeling and Geographic Information Systems for lean and green developments
by Ezekwem, Kenechukwu Chigozie, M.S., North Dakota State University, 2016, 113; 10149623
Abstract (Summary)

Building Information Modeling (BIM), used by many for building design and construction, and Geographic Information GIS System (GIS), used for city planning, contain large spatial and attribute data which could be used for Lean and green city planning and development. However, there exist a systematic gap and interoperability challenge between BIM and GIS that creates a disjointed workflow between city planning data in GIS and building data in BIM. This hinders the seamless analysis of data between BIM and GIS for lean and green developments. This study targets the creation of a system which integrates BIM and GIS system data. The methods involve the establishment of a novel Environmental Information Modeling (EIM) framework to bridge the gap using Microsoft Visual C#. The application of this framework shows the potential of this concept. The research results provide an opportunity for more analysis for lean and green construction planning, development and management.

Indexing (document details)
Advisor: Gao, Jerry
Commitee: Asa, Eric, Bezbaruah, Achintya, Gao, Jerry
School: North Dakota State University
Department: Construction Management and Engineering
School Location: United States -- North Dakota
Source: MAI 55/06M(E), Masters Abstracts International
Subjects: Area Planning and Development, Architecture
Keywords: Big data, Building Information Modeling, Environmental Information Modeling, Geographic Information System, Green construction, Lean construction
Publication Number: 10149623
ISBN: 978-1-369-04720-2
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