摘要：Current methods to estimate evacuation time during a natural disaster do notconsider the socioeconomic and demographic characteristics of the population.This article develops the Response Time by Social Vulnerability Index(ReTSVI). ReTSVI combines a series of modules that are pieces of informationthat interact during an evacuation, such as evacuation rate curves,mobilization, inundation models, and social vulnerability indexes, to createan integrated map of the evacuation rate in a given location. We provide anexample of the application of ReTSVI in a potential case of a severe floodevent in Huaraz, Peru. The results show that during the first 5min of theevacuation, the population that lives in neighborhoods with a high socialvulnerability evacuates 15% and 22% fewer people than the blockswith medium and low social vulnerability. These differences graduallydecrease over time after the evacuation warning, and social vulnerabilitybecomes less relevant after 30min. The results of the application examplehave no statistical significance, which should be considered in a real caseof application. Using a methodology such as ReTSVI could make it possible tocombine social and physical vulnerability in a qualitative framework forevacuation, although more research is needed to understand the socioeconomicvariables that explain the differences in evacuation rate.
