Summarize the following in two sentences:
Changes in the global climate amplify the risk of water-related disasters such as flooding in urban areas. Since 1990, water-related disasters have accounted for 90% of the 1000 most severe disasters (Hendricks et al. Citation2022). They are the most frequent and expensive natural disasters nationwide, impacting millions of people’s lives and thousands of communities every year. Despite the cascading impacts of these extreme events, existing climate adaptation platforms do not fully understand the dynamics of urban community-level response due to the lack of detailed disaster management and efficient evacuation plans at the street level (Gharaibeh et al. Citation2021). Evacuation and emergency routing systems play a critical role in saving lives and minimizing damages during disaster events. Traditional emergency routing systems usually use remote-sensing images and hydrology methods to simulate the movement of the flood (Henonin et al. Citation2013, Feng et al. Citation2015) to obtain the flooding information. However, data obtained this way may result in imprecise flood prediction results due to its failure to consider reshaped surface topography and micro-topographic variations commonly seen in urban environments (Jha et al. Citation2012, Alizadeh et al. Citation2021, Kharazi and Behzadan Citation2021). Accurate and reliable data are crucial for the successful dispatching of rescue teams and navigating individuals from flooded areas to safe places during emergencies. Recent research (Cavdur et al. Citation2016, Yan et al. Citation2020) showed that the number of deaths is highly related to the efficiency of evaluation plans and routing during emergency events. Therefore, establishing a well-thought-out and timely evacuation strategy is critical in dynamic flooding situations where lives can be at risk (Meyer et al. Citation2018).