The Integrated 3D As-Built Representation of Underground MRT Construction Sites

This study facilitates the scalability of as-built data from an earlier street level to underground transportation sites from the life-cycle perspective of urban information maintenance. As-built 3D scans of a 6 km street were made at different time periods, and of 3 underground Mass Rapid Transit (MRT) stations under construction in Taipei. A scanned point cloud was used to create a Building Information Modeling (BIM) Level of Development (LOD) 500 as-built point cloud model, with which topographic utility data were integrated and the model quality was investigated. The complex underground models of the transportation stations are proofed to be in correct relative locations to the street entrances on ground level. In the future the 3D relationship around the station will facilitate new designs or excavations in the neighborhood urban environment.

[1]  Susanne Bleisch,et al.  Rich point clouds in virtual globes - A new paradigm in city modeling? , 2010, Comput. Environ. Urban Syst..

[2]  Michael Burrow,et al.  Condition assessment of the buried utility service infrastructure , 2012 .

[3]  Assessments on the stability of natural slopes prone to toe erosion, and man-made historical semi-underground openings carved in soft tuffs at Zelve Open-Air Museum (Cappadocia, Turkey) , 2013 .

[4]  Naai-Jung Shih,et al.  3D Scan Information Management System for Construction Management , 2006 .

[5]  Michele Fumarola,et al.  Generating virtual environments of real world facilities: Discussing four different approaches , 2011 .

[6]  I. Jazayeri Trends in 3D land information collection and management , 2012 .

[7]  Naai-Jung Shih A study of 2D- and 3D-oriented architectural drawing production methods , 1996 .

[8]  Anthony G. Cohn,et al.  Condition assessment of the surface and buried infrastructure - A proposal for integration , 2012 .

[9]  Abbas Rajabifard,et al.  Introduction (A national infrastructure for managing land information: research snapshot) , 2012 .

[10]  Ahmad Rodzi Mahmud,et al.  Mobile laser scanning, for monitoring polythylene city infrastructure network. , 2011 .

[11]  Alexander Zipf,et al.  Area-wide roof plane segmentation in airborne LiDAR point clouds , 2012, Comput. Environ. Urban Syst..

[12]  Martin Fischer,et al.  THE SCOPE AND ROLE OF INFORMATION TECHNOLOGY IN CONSTRUCTION , 2004 .

[13]  Soohee Han,et al.  Productive high-complexity 3D city modeling with point clouds collected from terrestrial LiDAR , 2013, Comput. Environ. Urban Syst..

[14]  Mike Kagioglou,et al.  BIM adoption and implementation for architectural practices , 2011 .

[15]  I. Bishop,et al.  Spatial data infrastructures for cities in developing countries Lessons from the Bangkok experience , 2000 .

[16]  Willem Kymmell,et al.  Building Information Modeling: Planning and Managing Construction Projects with 4D CAD and Simulations , 2007 .

[17]  Naai-Jung Shih,et al.  Point-Cloud-Based Comparison between Construction Schedule and As-Built Progress: Long-Range Three-Dimensional Laser Scanner’s Approach , 2004 .

[18]  Charles M. Eastman,et al.  BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors , 2008 .

[19]  Thomas H. Kolbe,et al.  Spatio-semantic coherence in the integration of 3D city models , 2007 .

[20]  Ömer Aydan,et al.  Geotechnical and geoenvironmental characteristics of man-made underground structures in Cappadocia, Turkey , 2003 .

[21]  Bo Mao,et al.  Visualisation and Generalisation of 3D City Models , 2010 .

[22]  Alexander Zipf,et al.  Open Building Models: Towards a Platform for Crowdsourcing Virtual 3D Cities , 2013 .