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Trends and Opportunities of BIM-GIS Integration in the Architecture, Engineering and Construction Industry: A Review from a Spatio-Temporal Statistical Perspective
by
Song, Yongze
, Tan, Yi
, Wang, Xiangyu
, Hampson, Keith
, Cheng, Jack C. P.
, Wu, Peng
, Sutrisna, Monty
in
AEC
/ Architectural engineering
/ Architecture
/ BIM
/ BIM-GIS integration
/ Building information modeling
/ Building management systems
/ Computer simulation
/ Construction
/ Construction engineering
/ Construction industry
/ Construction management
/ Data analysis
/ Data processing
/ Decision making
/ engineering
/ Geographic information systems
/ Geographical information systems
/ geometry
/ GIS
/ Hypotheses
/ Information systems
/ Integration
/ Life cycle
/ Life cycle engineering
/ Life cycles
/ Mathematical models
/ Modelling
/ Remote sensing
/ Satellite navigation systems
/ smart sustainable city
/ spatio-temporal statistics
/ Statistical methods
/ Statistical models
/ Trends
2017
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Trends and Opportunities of BIM-GIS Integration in the Architecture, Engineering and Construction Industry: A Review from a Spatio-Temporal Statistical Perspective
by
Song, Yongze
, Tan, Yi
, Wang, Xiangyu
, Hampson, Keith
, Cheng, Jack C. P.
, Wu, Peng
, Sutrisna, Monty
in
AEC
/ Architectural engineering
/ Architecture
/ BIM
/ BIM-GIS integration
/ Building information modeling
/ Building management systems
/ Computer simulation
/ Construction
/ Construction engineering
/ Construction industry
/ Construction management
/ Data analysis
/ Data processing
/ Decision making
/ engineering
/ Geographic information systems
/ Geographical information systems
/ geometry
/ GIS
/ Hypotheses
/ Information systems
/ Integration
/ Life cycle
/ Life cycle engineering
/ Life cycles
/ Mathematical models
/ Modelling
/ Remote sensing
/ Satellite navigation systems
/ smart sustainable city
/ spatio-temporal statistics
/ Statistical methods
/ Statistical models
/ Trends
2017
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Do you wish to request the book?
Trends and Opportunities of BIM-GIS Integration in the Architecture, Engineering and Construction Industry: A Review from a Spatio-Temporal Statistical Perspective
by
Song, Yongze
, Tan, Yi
, Wang, Xiangyu
, Hampson, Keith
, Cheng, Jack C. P.
, Wu, Peng
, Sutrisna, Monty
in
AEC
/ Architectural engineering
/ Architecture
/ BIM
/ BIM-GIS integration
/ Building information modeling
/ Building management systems
/ Computer simulation
/ Construction
/ Construction engineering
/ Construction industry
/ Construction management
/ Data analysis
/ Data processing
/ Decision making
/ engineering
/ Geographic information systems
/ Geographical information systems
/ geometry
/ GIS
/ Hypotheses
/ Information systems
/ Integration
/ Life cycle
/ Life cycle engineering
/ Life cycles
/ Mathematical models
/ Modelling
/ Remote sensing
/ Satellite navigation systems
/ smart sustainable city
/ spatio-temporal statistics
/ Statistical methods
/ Statistical models
/ Trends
2017
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Trends and Opportunities of BIM-GIS Integration in the Architecture, Engineering and Construction Industry: A Review from a Spatio-Temporal Statistical Perspective
Journal Article
Trends and Opportunities of BIM-GIS Integration in the Architecture, Engineering and Construction Industry: A Review from a Spatio-Temporal Statistical Perspective
2017
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Overview
The integration of building information modelling (BIM) and geographic information system (GIS) in construction management is a new and fast developing trend in recent years, from research to industrial practice. BIM has advantages on rich geometric and semantic information through the building life cycle, while GIS is a broad field covering geovisualization-based decision making and geospatial modelling. However, most current studies of BIM-GIS integration focus on the integration techniques but lack theories and methods for further data analysis and mathematic modelling. This paper reviews the applications and discusses future trends of BIM-GIS integration in the architecture, engineering and construction (AEC) industry based on the studies of 96 high-quality research articles from a spatio-temporal statistical perspective. The analysis of these applications helps reveal the evolution progress of BIM-GIS integration. Results show that the utilization of BIM-GIS integration in the AEC industry requires systematic theories beyond integration technologies and deep applications of mathematical modeling methods, including spatio-temporal statistical modeling in GIS and 4D/nD BIM simulation and management. Opportunities of BIM-GIS integration are outlined as three hypotheses in the AEC industry for future research on the in-depth integration of BIM and GIS. BIM-GIS integration hypotheses enable more comprehensive applications through the life cycle of AEC projects.
Publisher
MDPI AG
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