Modelling the impact of lifeline infrastructure failure during natural hazard events
This thesis utilises mathematical graph theory tools alongside natural hazard modelling to analyse and quantify the extent of lifeline disruption during natural hazard events and the flow on effects of service failure. A future eruption of Mount Fuji in Japan is used as the major case study scenario to assess the usefulness of graph theory techniques in aiding disaster mitigation, emergency response and community recovery. This scenario provided the opportunity to test graph theory techniques in natural hazard risk assessment and to demonstrate how graph theory can assist post event recovery in a real world context. Methods developed in this study can be used to further explore impacts of ash fall, or other volcanic phenomena, in other prefectures around Mount Fuji or other volcanoes throughout Japan. Moreover, these methods can be used to address the exposure and risk to lifelines from other natural hazard events or even to compare between them. The results of this thesis show that graph theory techniques, alongside Geographic Information Systems tools and hazard modelling, with an understanding of the use and vulnerability of particular lifelines, can help to envisage potential problems that could result from lifeline failure and aid in the process of recovery. Not only is it important to make lifeline infrastructure more resilient to disruption from future natural hazard shocks, there is also a need to increase resilience by preparing communities to cope with service outages. For true shared responsibility to occur, local governments and communities need to be better informed and prepared so they can cope with the absence of lifelines during a disaster. Collaboration between all stakeholders is required to bridge information gaps and to create holistic disaster scenarios in order to provide more realistic and accurate assessments of future natural hazard impacts.
- Record URL:
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Supplemental Notes:
- PhD thesis
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Authors:
- Singh, E A
- Publication Date: 2019
Language
- English
Media Info
- Pagination: 1 file
Subject/Index Terms
- TRT Terms: Case studies; Crash analysis; Disasters; Infrastructure; Risk assessment; Seismicity; Transportation operations
- Uncontrolled Terms: Road design and asset management
- Geographic Terms: Japan
- ATRI Terms: Case study; Crash analysis; Disaster management; Infrastructure; Risk assessment; Seismic disturbance; Transport network
- Subject Areas: Safety and Human Factors;
Filing Info
- Accession Number: 01704757
- Record Type: Publication
- Source Agency: ARRB
- Files: ATRI
- Created Date: May 20 2019 10:18AM