Buildings in subsiding areas may suffer from settlements causing damages of different severity levels.The paper presents the results of an integrated analysis carried out on a subsidence-affected urban area in The Netherlands where the availability of multi-temporal building damage surveys and a long DInSAR monitoring dataset allowed generating forecasting tools that could provide a cognitive basis to investigate the vulnerability of buildings affected by settlements.

Transition zones between bridges and embankments are the most maintenance-prone locations in the Netherlands road network due to the very compressible soft soils present in the largest part of this country, resulting in severe differential settlements and cost impact. This study shows how to exploit both conventional and DInSAR monitoring datasets in order to forecast future settlements and assist the Road Manager in the decision making process of new maintenance operations.