Open Access
MATEC Web Conf.
Volume 270, 2019
The 2nd Conference for Civil Engineering Research Networks (ConCERN-2 2018)
Article Number 06004
Number of page(s) 7
Section Infrastructure Engineering and Management
Published online 22 February 2019
  1. C.C. Dutra, J.L.D. Ribeiro, M.M. de Carvalho, An economic-probabilistic model for project selection and prioritization, Int. J. Proj. Manag 32, 1042 (2014) [CrossRef] [Google Scholar]
  2. T. Bakshi, A. Sinharay, B. Sarkar, S.K. Sanyal, Introduction to soft-set theoretic solution of project selection problem, BIJ 23(7), 1643 (2016) [CrossRef] [Google Scholar]
  3. K. Salehi, A hybrid fuzzy MCDM approach for project selection problem, DSL, 4, 109 (2015) [CrossRef] [Google Scholar]
  4. M.W. Lifson, E.F. Shaifer, Decision and Risk Analysis for Construction Management (Wiley, New York, 1982) [Google Scholar]
  5. A. Purnus, C-N. Bodea, Project prioritization and portfolio performance measurement in project oriented organizations, Procd. Soc. Behv 119, 339 (2014) [CrossRef] [Google Scholar]
  6. Standards Australia Guide: Project Prioritisation Process and Criteria (2017) [Google Scholar]
  7. J.D. Frame, Project Finance: Tools & Techniques (UMT Press, 2003) [Google Scholar]
  8. CDIA, City Infrastructure Investment Programming & Prioritisation Toolkit: User Manual (2010) [Google Scholar]
  9. Infrastructure Australia, Assessment Framework - For Initiatives and Projects to be included in the Infrastructure Priority List (2017) [Google Scholar]
  10. Infrastructure New South Wales, Infrastructure Investor Assurance Framework - Gateway Coordination Agency Framework for Capital Projects under the NSW Gateway Policy (2016) [Google Scholar]
  11. KPPIP, Proyek Strategis Nasional (2016, retrieved from [Google Scholar]
  12. Queensland Treasury, The State of Queensland Project Assessment Framework (2015) [Google Scholar]
  13. W. Pan, A.R.J. Dainty, A.G.F. Gibb, Establishing and weighting decision criteria for building system selection in housing construction, J. Constr. Eng. Manage 138(11), 1239 (2012) [CrossRef] [Google Scholar]
  14. Y. Le, M. Shan, A.P.C. Chan, Y. Hu, Overview of Corruption Research in Construction, J. Manage. Eng 30(4), 02514001 (2014) [CrossRef] [Google Scholar]
  15. R. Osei-Kyei, A.P.C. Chan, Review of studies on the critical success factors for Public-Private Partnership (PPP) projects from 1990 to 2013, Int. J. Proj. Manag 33, 1335 (2015) [Google Scholar]
  16. A.P.C. Chan, E.K. Owusu, Corruption forms in the construction industry: literature review, J. Constr. Eng. Manage 143(8), 04017057 (2017) [CrossRef] [Google Scholar]
  17. A. Bryman, E. Bell, Business Research Methods 4th Edition (Oxford University Press, New York, 2015) [Google Scholar]
  18. V. Braun, V. Clarke, Using Thematic Analysis in Psychology, Qual. Res. Psychol 3(2), 77 (2006) [CrossRef] [Google Scholar]
  19. E.Z.H. Zheng, M.M. de Carvalho, Managing uncertainty in projects: a review, trends and gaps, GeP 7(2), 95 (2016) [CrossRef] [Google Scholar]
  20. M. Yadollahi, R. Zin, Applied Multi-Criteria Ideal Rehabilitation Model for Budget Allocation Across Road Infrastructure, IJIS 3(4), 193 (2011) [CrossRef] [Google Scholar]
  21. S.G.R. Quadros, C.D. Nassi, An evaluation on the criteria to prioritize transportation infrastructure investments in Brazil, Transp. Policy 40, 8 (2015) [CrossRef] [Google Scholar]
  22. Sutardi, I.C. Goulter, Governmental Priorities in Irrigation Project Selection in Indonesia, J. Water Resour. Plann. Manage 119(3), 406 (1993) [CrossRef] [Google Scholar]
  23. F. Arif, m.e. Bayraktar, A.G. Chowdhury, Decision Support Framework for Infrastructure Maintenance Investment Decision Making, J. Manage. Eng. 32(1), 04015030 (2016) [Google Scholar]
  24. CII, PDRI: Project Definition Rating Index - Infrastructure Projects (The University of Texas at Austin, 2013) [Google Scholar]
  25. S. Lindhard, S. Wandahl, Looking for Improvement in Last Planner System: Defining Selection Criteria, ICCREM ASCE, 27 (2013) [Google Scholar]
  26. H. Blocksidge, J. Zurawski, Pipe Selection Criteria for Trenchless Projects: Microtunneling to Large Tunnels, Pipelines ASCE (2007) [Google Scholar]
  27. E. Cheung, A.P.C. Chan, Is BOT the best financing model to procure infrastructure projects?: a case study of the Hong Kong-Zhuhai-Macau Bridge, JPIF 27(3), 290 (2009) [CrossRef] [Google Scholar]
  28. H. Doloi, Assessing stakeholders’ influence on social performance of infrastructure projects, Facilities 30(11/12), 531 (2012) [Google Scholar]
  29. T-A. Shiau, Evaluating transport infrastructure decisions under uncertainty, Transport Plan Techn. 37(6), 525 (2014) [CrossRef] [Google Scholar]
  30. P.M. Goodrum, Y.Wan, P.C. Fenouil, A decision-making system for accelerating roadway construction, Eng. Constr. Arc. Manage. 16(2), 116 (2009) [CrossRef] [Google Scholar]
  31. OECD, Towards a framework for the governance of infrastructure (2015) [Google Scholar]
  32. N. Sciulli, Public private partnerships: an exploratory study in health care, Asian Rev. Acc 16(1), 21 (2008) [CrossRef] [Google Scholar]
  33. K.C. Iyer, R. Balamurugan, Evaluation of private sector participation models in highway infrastructure in India - a system dynamics approach, J. Adv. Manage Res 3(1), 44 (2006) [CrossRef] [Google Scholar]
  34. C. Nnaji, H.W. Lee, A. Karakhan, J. Gambatese, Developing a Decision-Making Framework to Select Safety Technologies for Highway Construction, J. Constr. Eng. Manage 144(4), 04018016 (2018) [CrossRef] [Google Scholar]
  35. Z. Chen, H. Li, A. Ross, M.M.A. Khalfan, S.C.W. Kong, Knowledge-driven ANP approach to vendors evaluation for sustainable construction, J. Constr. Eng. Manage 134(12), 928 (2008) [CrossRef] [Google Scholar]

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