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Post-disaster Resilience of Transportation Network using Route Diversity Factor

Karamzadeh Esfahani, Hadi | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51567 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Nasiri, Habibollah
  7. Abstract:
  8. Natural hazards such as earthquake take many lives each year and cause significant damages to infrastructures such as transportation networks. Whether after occurrence of a natural disaster like storm in order to evacuate, or after an abrupt event such as earthquake in order to provide emergency measures, a transportation network should maintain its functionality and performance in an acceptable degree and should recover in an effectively short period of time. In this study, the link or the set of links which their removal causes significant damage to the transportation network are identified. A specific index (N-Q index) has been used to describe the performance of the network. In addition, the route-diversity factor has also been used to assess how the transportation network regains its initial state. For this purpose, traffic assignment has been applied to the Sioux Falls network using PTV Visum software for each scenario considering removal of one link or a set of links in the network. Then performance-wise sensitivity of the network has been assessed considering removal of up to 4 links and the resilience of the network has been calculated for a certain set of critical scenarios. Results show that for the scenarios in which the route-diversity factor decreases more than a certain threshold, the time needed for recovery of the network increases and resilience of the network decreases significantly. Also considering the total number of possible scenarios of link removal it is shown that using this method needs less time and lower number of calculations to calculate the resilience of the network in comparison with the critical scenarios of decrease in value of route-diversity factor
  9. Keywords:
  10. Disaster Management ; Transportation Network Vulnerability ; Shortest Path ; Route Diversity Factor ; Network Resiliance ; Urban Transportation Network

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