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Carries a review and critique on technology transfer applications to the management of man‐made type disasters. Covers state‐of‐the‐art applications of quality, risk and safety techniques. Quality function deployment (QFD), management overview risk tree (MORT), failure mode and effects analysis (FMEA), digraph and fault tree analysis (FTA), advanced mathematical modelling (simulation), decision support systems’ artificial intelligence (AI), object‐oriented programming (OOP) and innovative training methods (hyper and multimedia) to disaster prevention and limitation. Also reviews recent technology transfer projects in chemical, nuclear and transport applications and demonstrates that these projects can play, and have already played, a major role in improving techni cally and scientifically all aspects of disaster management. For completeness, also provides a listing of selected sites on the so‐called Super Highway which contain a wide spectrum of information relating to disaster prevention and limitation.

Discusses fire safety management in passenger terminals. Describes the design, development, implementation and validation of a fire safety management model for use in airports, railway and bus stations. The research carried out is based on a comprehensive analysis of 25 terminals (air, bus, rail and sea) in the UK and Europe. Develops the relationship existing between fire risk, people and fire safety management. Although the model is still being reviewed and augmented, it has already produced interesting results and has proved to be an efficient, robust and quantifiable tool for use by fire safety managers.

Presents a new qualitative fault tree evaluation algorithm based on bit manipulation techniques for the identification of the largest independent sub‐trees and the subsequent determination of all minimal cut sets of large and complex fault trees. The methodology developed is validated by direct application to a complex fault tree taken from the literature. Results obtained are compared with those available in the literature. Shows that the use of the algorithm (FTABMT) developed results in significant savings in both computer time and storage requirements.