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dc.contributor.advisorWallace, Stein W.
dc.contributor.authorLuo, Meiqi
dc.date.accessioned2020-02-27T11:03:04Z
dc.date.available2020-02-27T11:03:04Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/11250/2644144
dc.description.abstractIn recent years, the number of cruising tourists has been growing rapidly, but some serious cruise ship accidents have also aroused safety concerns of the public on travelling with cruise ships. However, the fixed emergency evacuation routes that are suggested in a boarding drill or pasted behind a cabin door is inapplicable in a real emergency because of ignoring the uncertain influence of the hazards. The existing research about emergency evacuation on vessels is rare, and how to guide the evacuees under emergency situations is also seldom mentioned. Moreover, modelling the evacuation on ships also needs to consider unique features of ships, such as unstable conditions during emergencies, including shaking, heeling and sinking, and the confined steel environment on ships, where internal data communication is totally dependent on cables. In this thesis, an implementable evacuation guiding model is proposed. In the proposed model, differentiated evacuation routes are suggested to evacuees with consideration of different movability and walking speed of them. In addition, the guiding of evacuees is also realizable in the proposed model, with the cutting-edge sensor mesh technology developed by ScanReach, with which the wireless data transfer in confined steel environments is feasible. The proposed model is simulated in a framework of rolling horizon, updating the dynamics of an emergency evacuation by continuously gaining the latest information of hazard situation and evacuees movements. Keywords: evacuation, guide, cruise, vessel, ship, fire, hazard, uncertainty, rolling horizon.en_US
dc.language.isoengen_US
dc.subjectbusiness analyticsen_US
dc.titleHow to guide emergency evacuations on cruise ships? : modelling with optimization and simulation methodologyen_US
dc.typeMaster thesisen_US
dc.description.localcodenhhmasen_US


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