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Passenger response time data-sets for large passenger ferries and cruise ships derived from sea trials

Passenger response time data-sets for large passenger ferries and cruise ships derived from sea trials

Brown, R., Galea, E.R. ORCID: 0000-0002-0001-6665, Deere, S. and Filippidis, L. (2013) Passenger response time data-sets for large passenger ferries and cruise ships derived from sea trials. Transactions of the Royal Institution of Naval Architects, International Journal of Maritime Engineering, 155 (A1). pp. 33-48. ISSN 1479-8751

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Abstract

This paper describes research that was carried-out under the EU FP7 research project SAFEGUARD and presents passenger response time data generated from five full-scale semi-unannounced assembly trials at sea. The data-sets were generated from three different types of passenger ships, a RO-PAX ferry without cabins (RP1), a cruise ship (CS) and a RO-PAX ferry with cabins (RP2). In total, response times from 2366 people were collected making it the largest response time data-set ever collected ­ on land or sea. The analysis methodology used to extract the response time data and the resultant response time distributions (RTD) is presented. A number of key findings from the data analysis are presented along with three recommendations to modify the IMO guidelines governing ship evacuation analysis, namely; (a) it is inappropriate to use the same RTD for cruise ships and RO-PAX vessels; (b) a new Day Case RTD is suggested for RO-PAX vessels and (c) new Day and Night RTDs are suggested for cruise ships.

Item Type: Article
Additional Information: [1] First published: 2013. [2] Published as: Transactions RINA, Vol 155, Part A1, International Journal Maritime Engineering, Jan-Mar 2013, pp. 33-47.
Uncontrolled Keywords: SAFEGUARD, response time distributions, (RTD), cruise ships, passenger ships, evacuation, IMO guidelines
Subjects: Q Science > QA Mathematics > QA76 Computer software
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
Related URLs:
Last Modified: 14 Oct 2016 09:25
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/10487

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