IMO INF Paper Summary - Response Time Data for Large Passenger Ferries and Cruise Ships

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.

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PASSENGER RESPONSE TIME DATA-SETS FOR LARGE PASSENGER FERRIES AND CRUISE SHIPS DERIVED FROM SEA TRIALS

The International Journal of Maritime Engineering ◽

10.5750/ijme.v155ia1.894 ◽

2021 ◽

Vol 155 (A1) ◽

Author(s):

R Brown ◽

E R Galea ◽

S Deere ◽

L Filippidis

Keyword(s):

Response Time ◽

Response Times ◽

Response Time Data ◽

Data Sets ◽

Time Data ◽

Data Set ◽

Analysis Methodology ◽

Cruise Ships ◽

Passenger Ships ◽

Response Time Distributions

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.

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Supplemental Material for The Shifted Wald Distribution for Response Time Data Analysis

Psychological Methods ◽

10.1037/met0000066.supp ◽

2016 ◽

Keyword(s):

Data Analysis ◽

Response Time ◽

Response Time Data ◽

Time Data

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Using response time data to reduce testing time in cognitive tests.

Psychological Assessment ◽

10.1037/pas0000466 ◽

2018 ◽

Vol 30 (3) ◽

pp. 328-338 ◽

Cited By ~ 4

Author(s):

Maria Bertling ◽

Jonathan P. Weeks

Keyword(s):

Response Time ◽

Response Time Data ◽

Testing Time ◽

Cognitive Tests ◽

Time Data

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PASSENGER RESPONSE TIME DATA- SETS FOR LARGE PASSENGER FERRIES AND CRUISE SHIPS DERIVED FROM SEA TRIALS

The International Journal of Maritime Engineering ◽

10.5750/ijme.v155ia2.899 ◽

2021 ◽

Vol 155 (A2) ◽

Author(s):

R Brown ◽

E R Galea ◽

S Deere ◽

L Filippidis

Keyword(s):

Response Time ◽

Research Group ◽

Data Sets ◽

Time Data ◽

Evacuation Time ◽

The Public ◽

Cruise Ships ◽

Passenger Ships ◽

Unique Nature ◽

The Subject

The paper consists of 27 figures; numerous equations and 12 notes/ references, many of which are written by the authors of this paper. Whilst this may indicate a lack of “reading around the subject” it also indicates the unique nature of the topic and that little exists at present in the public domain about this topic. Indeed the authors and the research group they represent are the main contributors to the IMOs discussions and circulars on this subject. Given that background the paper is very detailed and consists of comparisons between the evacuation times of 3 passenger ships, 2 being Ro-Pax vessels and 1 a cruise liner. On board evacuation time statistics have been gathered from significant populations enabling the authors to draw significant conclusions relating to evacuation times in the presented scenarios. The paper is therefore a useful addition to the debates on this subject which is of major relevance to the understanding of evacuation times in passenger vessels. Data and research in this area is difficult to obtain thus the authors should be congratulated for their work.

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