Geohazard risk management for infrastructure projects

2006 ◽  
Vol 159 (6) ◽  
pp. 28-34 ◽  
Author(s):  
Matthew Free ◽  
Sara Anderson ◽  
Charles Milloy ◽  
Juliet Mian
Keyword(s):  
Risk Management ◽  
Infrastructure Projects ◽  
Geohazard Risk

RISK MANAGEMENT IN PUBLIC-PRIVATE PARTNERSHIP AND OTHER MAJOR INFRASTRUCTURE PROJECTS

EDPACS ◽  
2021 ◽  
Vol 63 (5) ◽  
pp. 6-19
Author(s):  
Alex Sidorenko ◽  
Vladimir Kilinkarov ◽  
Alexey Belkov
Keyword(s):  
Risk Management ◽  
Public Private Partnership ◽  
Infrastructure Projects ◽  
Private Partnership

Risman, a Method for Risk Management of Large Infrastructure Projects

1997 ◽  
pp. 265-272
Author(s):  
W.G. de Rijke ◽  
M.R. van der Does de Bye ◽  
R. Buvelot ◽  
J.K. Vrijling
Keyword(s):  
Risk Management ◽  
Infrastructure Projects

scholarly journals INTERNAL AND EXTERNAL RISK BASED ASSESMENT AND EVALUATION FOR THE LARGE INFRASTRUCTURE PROJECTS

2016 ◽  
Vol 22 (5) ◽  
pp. 673-682 ◽  
Author(s):  
Ivana BURCAR DUNOVIC ◽  
Mladen RADUJKOVIC ◽  
Mladen VUKOMANOVIC
Keyword(s):  
Risk Management ◽  
Risk Model ◽  
Uncertainty Management ◽  
Cumulative Distribution ◽  
Infrastructure Projects ◽  
Assessment And Evaluation ◽  
Project Assessment ◽  
Execution Phase ◽  
Impact Modelling ◽  
External Risk

The level of sensitivity to project success of large infrastructure projects is significantly greater in front-phase than in execution phase. Yet, due to focus on execution phase, methods for project assessment and on-going evaluation during front phases are insufficiently developed. On the other hand, risk management approaches has been moved from risk management towards holistic uncertainty management which is the most beneficial in front end phase of the project. This research identifies that majority of methods and techniques available does not support uncertainty management concept. The purpose of this paper is to develop and new method for risk based project assessment and evaluation inte­grating risk impact modelling using cumulative distribution curves (CDC) and multi-criteria project evaluation approach. Research is based on in-depth risk analysis of 15 large infrastructure projects using risk model of components and char­acteristics. The conclusion of the paper is verification and validation of method that combines qualitative and quantita­tive analysis using risk components, risk breakdown structure, AHP method and risk impact modelling using cumulative distribution curves (CDC) for internal and external risk based assessment and evaluation of large infrastructure projects.

Study on the Model of Integrated Risk Management for BOT Projects

2012 ◽  
Vol 174-177 ◽  
pp. 3374-3377
Author(s):  
Gong Liang Jiang
Keyword(s):  
Risk Management ◽  
Management Process ◽  
Infrastructure Projects ◽  
Management Level ◽  
Management Ability ◽  
Integrated Risk ◽  
Risk Management Process ◽  
Process System ◽  
Management Flow ◽  
Integrated Risk Management

Build-Operate-Transfer (BOT) contracts have been increasingly adopting for large infrastructure projects. However, BOT contracts have been a very important model for the investing and building the basic establishment. In order to improve management level and risk management ability for BOT projects, the model of integrated risk management for BOT projects is discussed in this paper. The risk involved in each phase of the project is analyzed. This paper suggests methods to mitigate these risks and put forward the correlative management flow and risk management process system as well as support technology. The method and technique put forward by this paper would be used for risk management of BOT projects. And it is effective for improve risk management ability and reduce the risk in BOT projects.

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