@inproceedings{WardThorpePrice2004,
  author    = {Ward, Michael and Thorpe, Tony and Price, Andrew},
  title     = {The Re-use of Site Data to Inform Business Processes},
  doi       = {10.25643/bauhaus-universitaet.130},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-1308},
  year      = {2004},
  abstract  = {The increased implementation of site data capture technologies invariably results in an increase in data warehousing and database technologies to store captured data. However, restricted use of data beyond the initial application could potentially result in a loss of understanding of site processes. This could in turn lead to poor decision making at production, tactical and strategic levels. Concrete usage data have been collected from two piling processes. These data have been analysed and the results highlighted potential improvements that could be made to existing site management and estimating processes. A cost benefit analysis has been used to support decision making at the strategic level where the identified improvements require capital expenditure.},
  subject      = {Bauwerk},
  language  = {en}
}
@inproceedings{ReinhardtGarrettAkinci2004,
  author    = {Reinhardt, Jan and Garrett, James H. and Akinci, Burcu},
  title     = {SiDaCoS: Product and Process Models on Construction Sites},
  doi       = {10.25643/bauhaus-universitaet.115},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-1156},
  year      = {2004},
  abstract  = {Site superintendents performing project management tasks on construction sites need to access project documents and need to collect information that they observe while inspecting the site. Often, information that is observed on a construction site needs to be integrated into electronic documents or project control systems. In the future, we expect integrated product and process models to be the medium for storing and handling construction project management information. Even though mobile computing devices today are already capable of storing and handling such integrated product and process data models, the user interaction with such large and complex models is difficult and not adequately addressed in the existing research. In this paper, we introduce a system that supports project management tasks on construction sites effectively and efficiently by making integrated product and process models accessible. In order to effectively and efficiently enter or access information, site superintendents need visual representations of the project data that are flexible with respect to the level of detail, the decomposition structure, and the type of visual representation. Based on this understanding of the information and data collection needs, we developed the navigational model framework and the application Site Data Collection System (SiDaCoS), which implements that framework. The navigational model framework allows site superintendents to create customized representations of information contained in a product and process model that correspond to their data access and data collection needs on site.},
  subject      = {Mobile Computing},
  language  = {en}
}
@inproceedings{LiuSoibelmanTrupp2004,
  author    = {Liu, Liang and Soibelman, Lucio and Trupp, Torsten},
  title     = {Novel Technologies for Construction Field Data Collection},
  doi       = {10.25643/bauhaus-universitaet.112},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20111215-1120},
  year      = {2004},
  abstract  = {A vast growth of advanced information technology systems and tools nowadays is opening new ways to collect accurate as-built data. Since the turn of the millennium, new technology developments enable for the first time to gather accurate as-built information. Accurate as-built data will be of great usage to construction management as well as to designers and engineers. Given that most of the planned data are already digitally available, as-built data remains on paper forms. Information technology developments are opening new ways to digitize construction field data in order to develop intelligent tools for construction management allowing design engineers to update as-planned data. 3D Laser scanning, digital close-range photogrammetry and mobile computing are among the promising data collection technologies, which are auspicious to create new opportunities to develop advanced construction management and engineering tools. Primarily, accurate collected as-built data will be highly beneficial for the process of updating as-planned data.},
  subject      = {Mobile Computing},
  language  = {en}
}