A total environmental risk assessment model for international hub airports

Zhen Chen*, Heng Li, Hong Ren, Qian Xu, Ju Hong

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

60 Citations (Scopus)

Abstract

This paper presents a multi-criteria decision analysis for environmental risk assessment (ERA) with regard to avoiding and eliminating damages and loss under natural disasters in international airport projects. It starts from an assumption that the strategy of eliminating damages and losses under natural disasters is related to the location selection problem, and it is necessary to use the multi-criteria decision analysis for calculated decision-making support. The paper uses the analytic network process (ANP) to demonstrate one of its utility modes in decision-making support to location selection problems, which aims at an evaluation of different projects from different locations. A set of generic criteria for risk assessment at international projects was put forward to support ANP modelling, and it was due to the consideration of social, technical, economic, environmental and political (STEEP) criteria related to the built, social and natural (BSN) trinity environment of international airport projects. At the end, an experimental case study on three international hub airports in China is given to test the ANP model called ERA.Airport, and it is concluded that ANP can be effectively used for risk assessment in the specific utility mode. The ERA.Airport is a generic multi-criteria decision-making model and can be used across the world for accurate environmental risk assessment for international airports.

Original languageEnglish
Pages (from-to)856-866
Number of pages11
JournalInternational Journal of Project Management
Volume29
Issue number7
Early online date8 Jun 2011
DOIs
Publication statusPublished - Oct 2011
Externally publishedYes

Keywords

  • airport
  • China
  • environmental risks
  • location selection
  • risk assessment
  • urban clusters

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  • Megaproject Management

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