This study focuses on sensor-based, real-time condition assessment of buildings during and after multi-hazard emergencies and it is based on the idea that; the spatial distribution of damage in a building can be monitored by the help of different types of sensors. The number and locations of these sensors are arranged in such a way that it becomes possible to picture the current condition of the building. Sensors utilized in this study can be listed as accelerometer, ultrasonic range finder, gyroscope, closed cable circuit and video camera. The first step of the research is to decide on the number and location of different sensors that will be deployed inside the building. The next step is to correlate the readings of each type of sensor with the observed damage caused by the disaster. This is achieved by conducting real-time experiments on a scaled corridor model, equipped with sensors. Finally, sensor fusion is carried out, and obtained sensor readings are gathered to provide overall information about the current condition of the building. A decision tree approach is developed, which predicts the penalty scores for blockage in certain regions of the building. By conducting experiments, the developed decision tree approach is validated. Consequently, it is concluded that the obtained information can be used as an input for shortest path algorithms that calculate safe and rapid evacuation paths for the victims in damaged buildings
