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Evaluating the Resilience of the Transportation Network Against Extreme Flooding: A Case Study of Transportation Network of Shiraz City

Zamani, Hassan | 2023

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56737 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Kermanshah, Amir Hassan
  7. Abstract:
  8. Because of severe weather events (such as floods and storms), transportation infrastructures are directly and indirectly damaged, which may cause many undesirable economic and social losses for people and cities. Among various severe events, flood is known as an important factor in the breakdown (closure of roads and bridges) of the components of the transportation network. Evaluating the performance of the city's road transport network against flood events leads to a better understanding of the network's condition and allows decision-makers to identify the weaknesses in the system and reduce potential damages as much as possible. In this research, with the aim of investigating the resilience of the road transport network of Shiraz city against floods, two-dimensional modeling of the flood using HEC-RAS software has been done on the network. For this modeling, land use information, rainfall patterns with a 50-year return period, and elevation map have been used. Then, with the help of the modeling output, nodes and arcs at risk are identified, and finally, the resilience of the system in case of failure of nodes and links have been evaluated. This evaluation has been done with the help of the travel time traffic index and the topographical indicators of betweennessand closeness. The results show that about 10% of the links are flooded and blocked, due to which the travel time has increased in about 30% of the links. This has increased the travel time (creating delay) in the entire network; So that about 81% of the trips were delayed and about 3% of the trips were left unfinished. Also, after the flood, the maximum and average closeness index decreased and the betweenness index increased, which indicates that congestion and crowding has occurred in some parts of the city after the flood
  9. Keywords:
  10. Flood ; Three Dimensional Modeling ; Topographical Indicator ; Traffic Indicators ; Network Resiliance ; Transportation Network ; Shiraz ; Infrastructure Resilience

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