Open Access
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
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]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.