In this paper we present the Collaborative Planning Interface (CoPI), a web-based multiuser collaboration interface platform for planning of complex systems. The interface provides analytical and visualization components to support decision makers. The Interface is designed using a user-centered design approach, while considering existing tools and environments in the field of decision support systems. The architecture and structure of the Interface are described as well as the flow of the user experience within the system. Finally, a case study explains the use of CoPI in collaborative policy planning for large-scale infrastructures.


complex systems web-technologies collaboration multi-user decision support systems visualization HCI 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Adepetu, A., Grogan, P., Alfaris, A., Svetinovic, D., de Weck, O.: City.Net IES: A Sustainability-Oriented Energy Decision Support System. In: IEEE International Systems Conference 2012, Vancouver (2012)Google Scholar
  2. 2.
    Alfaris, A., Siddiqi, A., Rizk, C., de Weck, O., Svetinovic, D.: Hierarchical Decomposition and Multi-Domain Formulation for the Design of Complex Sustainable Systems. Journal of Mechanical Design (Special issue on Sustainability) (2010)Google Scholar
  3. 3.
    Greene, R., Luther, J.E., Devillers, R., Eddy, B.: An approach to GIS-based multiple criteria decision analysis that integrates exploration and evaluation phases: Case study in a forest-dominated landscape. Forest Ecology and Management 260(12), 2102–2114 (2010)CrossRefGoogle Scholar
  4. 4.
    Lee, S., Murty, A., Tolone, W.: Towards sustainable infrastructure management: knowledge-based service-oriented computing framework for visual analytics. Society of Photo- . . . (2009) Google Scholar
  5. 5.
    Rao, M., Fan, G., Thomas, J., Cherian, G., Chudiwale, V., Awawdeh, M.: A web-based GIS Decision Support System for managing and planning USDA’s Conservation Reserve Program (CRP). Environmental Modeling & Software 22(9), 1270–1280 (2007), doi:10.1016/j.envsoft.2006.08.003CrossRefGoogle Scholar
  6. 6.
    Tolone, W.J.: Interactive visualizations for critical infrastructure analysis. International Journal of Critical Infrastructure Protection 2(3), 124–134 (2009)CrossRefGoogle Scholar
  7. 7.
    Tolone, W.J.: Making sense of complex systems through integrated modeling and simulation. In: Ras, Z.W., Ribarsky, W. (eds.) Advances in Information and Intelligent Systems. SCI, vol. 251, pp. 21–40. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  8. 8.
    Vredenburg, K., Mao, J.-Y., Smith, P.W., Carey, T.: A survey of user-centered design practice. Presented at the CHI 2002: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM (2002)Google Scholar
  9. 9.
    Wang, X., Dou, W., Chen, S.-E., Ribarsky, W., Chang, R.: An Interactive Visual Analytics System for Bridge Management. Computer Graphics Forum 29(3), 1033–1042 (2010), doi:10.1111/j.1467-8659.2009.01708.xCrossRefGoogle Scholar
  10. 10.
    Zeng, Y., Cai, Y., Jia, P., Jee, H.: Development of a web-based decision support system for supporting integrated water resources management in Daegu city, South Korea. Expert Systems with Applications 39(11), 10091–10102 (2012), doi:10.1016/j.eswa.2012.02.065CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Mohammad K. Hadhrawi
    • 1
  • Mariam Nouh
    • 1
  • Anas Alfaris
    • 1
    • 2
  • Abel Sanchez
    • 2
  1. 1.Center for Complex Engineering Systems (CCES)King Abdulaziz City for Science and Technology (KACST)RiyadhSaudi Arabia
  2. 2.Massachusetts Institute of Technology (MIT)CambridgeUSA

Personalised recommendations