• DocumentCode
    3271246
  • Title

    Using schedule simulation approaches to reduce greenhouse gas emissions in highway construction project

  • Author

    Tang, Pei ; Cass, Darrell ; Mukherjee, Amlan

  • Author_Institution
    Michigan Technol. Univ., Houghton, MI, USA
  • fYear
    2011
  • fDate
    11-14 Dec. 2011
  • Firstpage
    805
  • Lastpage
    815
  • Abstract
    Scheduling approaches used in construction projects like Critical Path Method (CPM) and Linear Scheduling Method (LSM) are different ways of expressing resource, spatial and temporal constraints. Given the nature of the project, one or the other approaches may prove to be more suitable in representing project characteristics crucial to managing the schedule. This paper argues that different scheduling approaches have different impacts on project greenhouse gas (GHG) emissions regardless of the construction strategies used. The argument is investigated by applying two construction strategies to complete three as-planned highway construction schedules on a simulation platform. As-planned schedules are created from CPM, LSM, and an actual schedule. The quantities of GHG emissions were calculated and compared. The paper identified effective scheduling approaches in reducing GHG emissions. This research supports methods to reduce construction GHG emissions considering the trade-offs between cost, duration, and GHG emissions during the project planning and construction phase.
  • Keywords
    air pollution; road building; scheduling; critical path method; greenhouse gas emissions; highway construction project; linear scheduling method; project planning; schedule simulation; scheduling approaches; Concrete; Data models; Global warming; Job shop scheduling; Road transportation; Schedules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2011 Winter
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4577-2108-3
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2011.6147807
  • Filename
    6147807