Open Access
Issue
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
Article Number 03035
Number of page(s) 6
Section Digital Development and Environmental Management of Energy Supply Chain
DOI https://doi.org/10.1051/e3sconf/202021403035
Published online 07 December 2020
  1. Al-Saadi R., Abdou A. Factors critical for the success of public‒private partnerships in UAE infrastructure projects: experts’ perception[J]. International Journal of Construction Management, 2016, 16(3): 234-248. [Google Scholar]
  2. Ameyaw EE., Chan A.P.C. A fuzzy approach for the allocation of risks in public–private partnership water-infrastructure projects in developing countries[J]. Journal of Infrastructure Systems, 2016, 22(3): 04016016. [Google Scholar]
  3. Bing L, Akintoye A., Edwards P.J., et al. The allocation of risk in PPP/PFI construction projects in the UK[J]. International Journal of project management, 2005, 23(1): 25-35. [Google Scholar]
  4. Carbonara N, Pellegrino R., Vajdic N. Real option theory for risk mitigation in transport PPPs[J]. Built Environment Project and Asset Management, 2013. [Google Scholar]
  5. Dikmen I, Birgonul M.T., Han S. Using fuzzy risk assessment to rate cost overrun risk in international construction projects[J]. International Journal of Project Management, 2007, 25(5): 494-505. [Google Scholar]
  6. Effah Ameyaw E., Chan A.P.C. Identifying publicprivate partnership (PPP) risks in managing water supply projects in Ghana[J]. Journal of Facilities Management, 2013, 11(2): 152-182. [Google Scholar]
  7. Hwang BG., Zhao X., Gay M.J.S. Public private partnership projects in Singapore: Factors, critical risks and preferred risk allocation from the perspective of contractors[J]. International Journal of Project Management, 2013, 31(3): 424-433. [Google Scholar]
  8. Iyer KC., Sagheer M. Hierarchical structuring of PPP risks using interpretative structural modeling[J]. Journal of Construction Engineering and Management, 2009, 136(2): 151-159. [Google Scholar]

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