This research investigated whether 4D construction model effectively helps project
participants on construction sites in detecting time-space conflicts in the schedule.
Previous researchers on construction space management typically modeled space
requirements for equipment and paths for material and focused primarily on static or
dynamic layout planning. Some researchers regarded time-space conflicts as an essential
aspect of construction space management. They demonstrated the use of 4D modules in
time-space conflict analysis. Although these 4D prototypes have been successful in
tackling time-space conflict analysis, they have been validated with only post-hoc
analysis of construction projects. Also, various currently commercially available 4D
visualization softwares do not take into account the workspace required during the
construction of a component unless space is modeled as a separate component into the
CAD application. Therefore, without modeling space as a component in the 3D model it
is necessary to assess whether 4D visualization can be effectively used on construction
sites to detect time-space conflicts in the schedule. In order to fulfill the research goal an experiment was conducted. A 4D construction
model of an ongoing project was developed.
Project participants were introduced to two different graphic representations of the
schedule; namely, an overlay drawing - the conventional method used on site to detect
conflicts and the 4D construction model. Analysis of the results compared the
performance of the participants in detecting time-space conflicts in the schedule using
the two methods.
The experiment produced empirical evidence that a 4D construction model may be
effective on construction sites in detecting time-space conflicts in the schedule.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/2702 |
| Date | 01 November 2005 |
| Creators | Nigudkar, Narendra Shriniwas |
| Contributors | Kang, Julian H., Reinschmidt, Kenneth F. |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | 1276474 bytes, electronic, application/pdf, born digital |
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