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Recommendations on the nature of the passenger response time distribution to be used in the MSC 1033 assembly time analysis based on data derived from sea trials

Recommendations on the nature of the passenger response time distribution to be used in the MSC 1033 assembly time analysis based on data derived from sea trials

Galea, Edwin R. ORCID: 0000-0002-0001-6665, Deere, Steven, Sharp, Gary, Filippidis, Lazaros, Lawrence, Peter ORCID: 0000-0002-0269-0231 and Gwynne, Steve (2007) Recommendations on the nature of the passenger response time distribution to be used in the MSC 1033 assembly time analysis based on data derived from sea trials. International Journal of Maritime Engineering, 149 (A1). pp. 15-29. ISSN 1479-8751

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Abstract

The passenger response time distributions adopted by the International Maritime Organisation (IMO)in their assessment of the assembly time for passanger ships involves two key assumptions. The first is that the response time distribution assumes the form of a uniform random distribution and the second concerns the actual response times. These two assumptions are core to the validity of the IMO analysis but are not based on real data, being the recommendations of an IMO committee. In this paper, response time data collected from assembly trials conducted at sea on a real passanger vessel using actual passangers are presented and discussed. Unlike the IMO specified response time distributions, the data collected from these trials displays a log-normal distribution, similar to that found in land based environments. Based on this data, response time distributions for use in the IMO assesmbly for the day and night scenarios are suggested

Item Type: Article
Uncontrolled Keywords: passenger response time distributions, IMO, uniform random distribution, assembly trials, log-normal distribution, assembly analysis
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
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
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
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Last Modified: 18 Jul 2018 17:20
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/1076

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