Critical Infrastructure Interdependency: Analysis and Strategic Decision Making

• Main Authors: Ssu-Min Tseng, 曾思敏
• Other Authors: Chien-Cheng Chou
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/96jywb

博士 === 國立中央大學 === 土木工程學系 === 102 === The research discusses applying the inoperability input-output model (IIM) to analysis of critical infrastructure interdependency. The IIM is based on Leontief's input-output model, which characterizes interdependencies among sectors in the economy. IIM can analyze initial disruptions to a set of sectors and the resulting ripple effects for modeling impacts of premeditated attacks on infrastructure interdependency. The IIM can systemically prioritize and manage the sectors deemed critical and also identify those sectors of which continued operability is critical during recovery. In addition, this research customizes the Generalized Sequential Patterns (GSP) discovery algorithm to analyze infrastructure failure records so that how a Critical Infrastructure Interdependency (CII) relationship evolves can be recognized and blocked. To prove this model, discussion of modeling the facilities in a wafer fabrication facility in the Hsinchu Science and Industrial Park, as well as the power generation and transmission facilities in Northern Taiwan areas and a disaster mitigation approach to stopping CII-related failure events is listed, followed by the analysis results and experts’ evaluations. Disaster mitigation officials can employ the proposed approach to explore CII and to design countermeasures when a disaster hits certain areas.