Evaluating the impact of rainstorm waterlogging on the accessibility of urban emergency response :A case study in the city center of Shanghai, China

Authors: Yameng Jing*, East China Normal University, Jie Yin, East China Normal University
Topics: Hazards, Risks, and Disasters, Urban Geography, Geographic Information Science and Systems
Keywords: rainstorm waterlogging , public safety, emergency response,Shanghai
Session Type: Paper
Day: 4/12/2018
Start / End Time: 3:20 PM / 5:00 PM
Room: Galerie 4, Marriott, 2nd Floor
Presentation File: No File Uploaded

With the development of global warming and rapid urbanization, frequent flood and waterlogging have resulted a great threat to socio-economic development and public safety. This paper describes a novel method that couples a simplified 1D/2D hydrodynamic model (FloodMap) and GIS-based network analysis to evaluate emergency responder accessibility during flood events within the city center (within outer ring) of Shanghai, China. Accessibility was evaluated using the 8 and 12 min for emergency provision for the ambulance under normal no-flood conditions, as well as flood scenarios of various magnitudes (1 in 5-year, 1 in 20-year and 1 in 100-year recurrence intervals). The results show that, (1) at normal condition, emergency response service could cover almost the whole study area. (2) During the flood scenario, rainstorm waterlogging affect the total research zone, with the increase of the recurrence period, the emergency response area is reduced and the number of service populations also have decreased significantly. Ambulance 8min accessibility was shown to decrease from 93% under the no-flood scenario to 74% under the 1 in 100-year flood scenario in the maximum speed limit. (3) Delay in response time from medical emergency point to public service facility Kindergarten, and the longest delay time of 14mintes. The study suggests that the assessment of the ambulance services emergency response under various flood scenarios are proved to be practical, and will provide scientific basis for formulating prevention and response measures.

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