Over recent years, the frequency and intensity of torrential rain and flooding events linked to climate change have been impacting on cities throughout the world. Adaptation to climate change must therefore be integrated into urban planning and coupled with sustainable urban development and conservation policies. To do so, a good understanding of the vulnerability of cities to these extreme events is necessary, lending special attention to the specifics of the different urban areas, such as historic city centres.

In the present study, a vulnerability evaluation methodology is presented for cities against extreme rainfall and flooding, which follows a holistic and multi-stakeholder approach, integrating architectural, socio-economic, and cultural perspectives, that supports evidence-based decision-making for the sustainable development of the agents that intervene in the process. The MIVES method, based on a multiple criteria decision-analysis process and a CityGML-based data model are used for that purpose, with which a process for capturing, evaluating, and representing information in an objective, organized, and systematic way has been developed. These advantages are demonstrated through the application of that process to a case study in Donostia-San Sebastián (northern Spain), located on a river estuary in front of the sea, with a wide diversity of building styles.

近年来，与气候变化相关的暴雨和洪水事件的频率和强度已经影响到世界各地的城市。因此，必须将对气候变化的适应纳入城市规划，并结合可持续的城市发展和保护政策。为此，必须充分了解城市在这些极端事件中的脆弱性，并特别注意不同城市区域（例如历史悠久的市中心）的具体情况。

在本研究中，针对城市的极端降雨和洪水，提出了一种脆弱性评估方法，该方法遵循整体和多方利益相关者的方法，整合了建筑，社会经济和文化的观点，为基于证据的决策提供了支持。干预过程中代理商的可持续发展。为此，使用了基于多准则决策分析过程和基于CityGML的数据模型的MIVES方法，从而开发了一种以客观，有组织和系统的方式捕获，评估和表示信息的过程。 。通过将该过程应用于位于西班牙北部的Donostia-SanSebastián（西班牙北部）的案例研究，可以证明这些优势。