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Defining a Resiliency Index for Urban Roadway Networks

Soltani Nejad, Fatemeh | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54506 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Nassiri, Habibollah
  7. Abstract:
  8. Urban transportation infrastructure due to the emergency forces' access during and after the earthquake is one of the most important arteries in the face of crisis. The resilience of this infrastructure is a crucial factor that should control before an event, such as an earthquake, to prioritize segments for improving their conditions and prevent system disruption. In this research, a model presents for evaluating urban roads' resilience based on four characteristics of robustness, redundancy, resourcefulness, and rapidity. The fuzzy inference is employed to construct the model. Due to the expert opinion dependence of these models, the AHP questionnaire is used to train the model. In this model, 14 variables are considered, such as event intensity, road capacity, traffic volume, road functional classification, level of service (LOS), the ratio of adjacent buildings height to road width, road location in Tehran, alternative route, alternative transportation mode, accessibility, road existence Separately for BRT, the presence of recovery team, recovery resources and urban management and technology, the relationship of each variable to each character is determined. The model's output is a resiliency index that changes between 0 to 8, showing the road's sustainability before facing a crisis. Enghelab Street, the distance between Azarbayjan Street and Khosh Street, has been selected for the case study. The resiliency index is estimated at 5.45 for the Khosh-Azarbaijan route according to its characteristics and 5 for the Azarbaijan-Khosh route. These indexes show that Enghelab Street in these selected segments has moderate resiliency and can be increased By reducing the demand for Enghelab Street and using advanced technologies to determine the blockage location
  9. Keywords:
  10. Community Resilience ; Analytical Hierarchy Process (AHP) ; Fuzzy Inference System ; UrbanTransport ; Urban Network ; Aimsun Simulator ; Tehran Transportation Network

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