Catastrophic risk analysis and management for Public-Private Partnership (PPP) infrastructure systems

Globally, there is an increasing trend in adopting a Public-private partnership (PPP) scheme to develop large-scale infrastructure. However, little efforts are made to assess the impact of catastrophic risk on the economics (i.e. cash flows) of PPP infrastructure projects. Therefore, this study on c...

Full description

Saved in:
Bibliographic Details
Main Author: Qian, Qiyu
Other Authors: Tiong Lee Kong, Robert
Format: Theses and Dissertations
Language:English
Published: 2012
Subjects:
Online Access:https://hdl.handle.net/10356/50946
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-50946
record_format dspace
spelling sg-ntu-dr.10356-509462023-03-03T19:39:28Z Catastrophic risk analysis and management for Public-Private Partnership (PPP) infrastructure systems Qian, Qiyu Tiong Lee Kong, Robert School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Construction management Globally, there is an increasing trend in adopting a Public-private partnership (PPP) scheme to develop large-scale infrastructure. However, little efforts are made to assess the impact of catastrophic risk on the economics (i.e. cash flows) of PPP infrastructure projects. Therefore, this study on catastrophe model for PPP infrastructure projects was undertaken with the aim to bridge the gap, what’s more important, catastrophic risk management strategy is developed for concessionaire and government respectively based on the results from catastrophe model. Based on hazard module, vulnerability module and loss module, a pro forma cash flow model would form a useful basis for quantifying seismic risks and measuring the dynamic financial demand of the project. As a pilot study in this area, this research developed its model based on assumptions because of limited engineering data available. Monte Carlo simulation through MATLAB programming was carried out to incorporate the uncertainty of seismic risk in frequency and severity. The estimated loss derived from the model may have less importance because it is largely depended on the quality of the input data. However, the changing trend of the results derived from sensitivity analysis which indicates the relationship between impact factors and catastrophic losses will guide development of risk management strategy. The model is developed to assess the financial losses due to earthquake for highway projects. It can also be applied to other types of PPP infrastructure projects depended on the similarity of cash flow generation. Respective revisions may be made to the MATLAB program if the model is applicable to other types of PPP infrastructure projects and catastrophes as well. A scenario case study based on several given scenarios simplifies the impact of temporal uncertainty of occurrence. It is carried out to find the optimal mitigation strategy for concessionaire. Most concessionaires (run for efficiency maximization) will select mitigation in the beginning as the optimal strategy given no financial constraint. The results from the model also indicate the merits and different incentive of dynamic risk management with varying impact factors. The focus of this research aims to structure catastrophic risk management strategies for government and concessionaire respectively. Such strategy is developed based on an in-depth understanding of the project’s risk exposure derived from catastrophe model, layered risk financing portfolio setup decided by concession agreement, cost and benefit analysis between different risk financing instruments and mitigation efforts, and last but not least, a good understanding of dynamic financial demand. Doctor of Philosophy (CEE) 2012-12-24T03:29:23Z 2012-12-24T03:29:23Z 2012 2012 Thesis Qian, Q. (2012). Catastrophic risk analysis and management for Public-Private Partnership (PPP) infrastructure systems. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/50946 10.32657/10356/50946 en 243 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering::Construction management
spellingShingle DRNTU::Engineering::Civil engineering::Construction management
Qian, Qiyu
Catastrophic risk analysis and management for Public-Private Partnership (PPP) infrastructure systems
description Globally, there is an increasing trend in adopting a Public-private partnership (PPP) scheme to develop large-scale infrastructure. However, little efforts are made to assess the impact of catastrophic risk on the economics (i.e. cash flows) of PPP infrastructure projects. Therefore, this study on catastrophe model for PPP infrastructure projects was undertaken with the aim to bridge the gap, what’s more important, catastrophic risk management strategy is developed for concessionaire and government respectively based on the results from catastrophe model. Based on hazard module, vulnerability module and loss module, a pro forma cash flow model would form a useful basis for quantifying seismic risks and measuring the dynamic financial demand of the project. As a pilot study in this area, this research developed its model based on assumptions because of limited engineering data available. Monte Carlo simulation through MATLAB programming was carried out to incorporate the uncertainty of seismic risk in frequency and severity. The estimated loss derived from the model may have less importance because it is largely depended on the quality of the input data. However, the changing trend of the results derived from sensitivity analysis which indicates the relationship between impact factors and catastrophic losses will guide development of risk management strategy. The model is developed to assess the financial losses due to earthquake for highway projects. It can also be applied to other types of PPP infrastructure projects depended on the similarity of cash flow generation. Respective revisions may be made to the MATLAB program if the model is applicable to other types of PPP infrastructure projects and catastrophes as well. A scenario case study based on several given scenarios simplifies the impact of temporal uncertainty of occurrence. It is carried out to find the optimal mitigation strategy for concessionaire. Most concessionaires (run for efficiency maximization) will select mitigation in the beginning as the optimal strategy given no financial constraint. The results from the model also indicate the merits and different incentive of dynamic risk management with varying impact factors. The focus of this research aims to structure catastrophic risk management strategies for government and concessionaire respectively. Such strategy is developed based on an in-depth understanding of the project’s risk exposure derived from catastrophe model, layered risk financing portfolio setup decided by concession agreement, cost and benefit analysis between different risk financing instruments and mitigation efforts, and last but not least, a good understanding of dynamic financial demand.
author2 Tiong Lee Kong, Robert
author_facet Tiong Lee Kong, Robert
Qian, Qiyu
format Theses and Dissertations
author Qian, Qiyu
author_sort Qian, Qiyu
title Catastrophic risk analysis and management for Public-Private Partnership (PPP) infrastructure systems
title_short Catastrophic risk analysis and management for Public-Private Partnership (PPP) infrastructure systems
title_full Catastrophic risk analysis and management for Public-Private Partnership (PPP) infrastructure systems
title_fullStr Catastrophic risk analysis and management for Public-Private Partnership (PPP) infrastructure systems
title_full_unstemmed Catastrophic risk analysis and management for Public-Private Partnership (PPP) infrastructure systems
title_sort catastrophic risk analysis and management for public-private partnership (ppp) infrastructure systems
publishDate 2012
url https://hdl.handle.net/10356/50946
_version_ 1759858179463708672