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dc.contributor.authorEzekwem, Kenechukwu Chigozie
dc.description.abstractBuilding 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.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU Policy 190.6.2
dc.titleEnvironmental Information Modeling: An Integration of Building Information Modeling and Geographic Information Systems for Lean and Green Developmentsen_US
dc.typeThesisen_US
dc.date.accessioned2018-06-01T12:26:44Z
dc.date.available2018-06-01T12:26:44Z
dc.date.issued2016en_US
dc.identifier.urihttps://hdl.handle.net/10365/28195
dc.subject.lcshBuilding information modeling.en_US
dc.subject.lcshGeographic information systems.en_US
dc.subject.lcshCity planning.en_US
dc.subject.lcshBig data.en_US
dc.subject.lcshSustainable construction.en_US
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdf
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeEngineeringen_US
ndsu.departmentConstruction Management and Engineeringen_US
ndsu.advisorGao, Jerry


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