Due to inadequate public financial status and increasing demand on infrastructure facilities, many governments worldwide are exploring new arrangements through Public Private Partnerships (PPP) to accelerate infrastructure development without incurring large public expenditure and borrowing. But failure PPP projects aware that all projects are not suitable to PPP approach and there is an urgent need to a model to choose most proper project. In this paper, a decision support system was made based on risk allocation pattern of project, to assess the success of a PPP project as a computer program. This program through Technique for Order Preference by Similarity of Ideal Solution (TOPSIS) model gets the risk allocation of a project and delivers its opportunity of success as output. This model has trained by experience of 8 Local and international PPP projects and practically implemented to improve 2 water power plants. It aims to support decision making in selecting which incentive and when it should be granted to private parties to increase success chance of the project.
khazaeni, G., baiat, S., Zeighami, E., & Abbasianjahromi, H. (2020). A Quantitative model for Evaluation of PPP projects success, To attract private investment. Asas Journal, 21(57), 28-37.
MLA
garshasb khazaeni; safar baiat; Ehsan Zeighami; Hamidreza Abbasianjahromi. "A Quantitative model for Evaluation of PPP projects success, To attract private investment". Asas Journal, 21, 57, 2020, 28-37.
HARVARD
khazaeni, G., baiat, S., Zeighami, E., Abbasianjahromi, H. (2020). 'A Quantitative model for Evaluation of PPP projects success, To attract private investment', Asas Journal, 21(57), pp. 28-37.
VANCOUVER
khazaeni, G., baiat, S., Zeighami, E., Abbasianjahromi, H. A Quantitative model for Evaluation of PPP projects success, To attract private investment. Asas Journal, 2020; 21(57): 28-37.
)