Deere, S.J. ORCID: 0000-0001-5171-2014 , Galea, E.R. ORCID: 0000-0002-0001-6665 , Filippidis, L. ORCID: 0000-0002-1852-0042 and Brown, R. (2012) Data collection methodologies used in the SAFEGUARD project to collect human factors data. In: SAFEGUARD Passenger Evacuation Seminar. 30 November 2012. London, UK. Papers. The Royal Institution of Naval Architects, London, UK, pp. 13-23. ISBN 978-1-909024-08-3

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Abstract

This paper represents the methodologies used to collect human factors data relating to the passenger assembly process on large passenger ships at sea undertaken as part of the EU FP7 SAFEGUARD project. As part of the data collection exercise, passenger response time data was collected using video cameras and passenger starting location, end location and assemble time data was collected using a novel infra-red (IR) based position logging system. Questionnaires were also used to collect demographic data and to understand the behaviour of the passengers. This paper describes the development and testing of the data acquisition systems.

Item Type:	Conference Proceedings
Title of Proceedings:	SAFEGUARD Passenger Evacuation Seminar. 30 November 2012. London, UK. Papers
Additional Information:	[1] This paper was first presented at the SAFEGUARD Passenger Evacuation Seminar held on 30 November 2012 at the Royal Institute of Naval Architects, London, UK and included in the Seminar Papers distributed to delegates on the day. [2] SAFEGUARD Project (contract 218493) is funded under the European Union Framework 7 Transport Initiative and Transport Canada Marine Safety and the Newfoundland and Labrador Research and Development Corporation. [3] This paper is listed on the University of Greenwich, School of Computing, Mathematics and Statistics, Fire Safety Engineering Group (FSEG) Publications website: http://fseg.gre.ac.uk/fire/pub.asp as FSEG External Publications No. 283.
Uncontrolled Keywords:	passenger ships, maritime vessels, passenger response time, evacuation, human factors data, SAFEGUARD Project, data methodologies
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
Related URLs:	Publisher Organisation Organisation Organisation Organisation Organisation Organisation Organisation
Last Modified:	18 Feb 2020 16:20
URI:	http://gala.gre.ac.uk/id/eprint/9377

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