Integrated infection and crowd behavior model for infection risk assessment onboard large passenger vessels

Investigating the effect of ship layout design, operational and behavioral measures on contagious disease spread

Master Thesis (2024)
Author(s)

N.A. de Haan (TU Delft - Mechanical Engineering)

Contributor(s)

A.A. Kana – Mentor (TU Delft - Ship Design, Production and Operations)

Bilge Atasoy – Graduation committee member (TU Delft - Transport Engineering and Logistics)

Z.P. Oikonomou – Graduation committee member (TU Delft - Ship Design, Production and Operations)

Faculty
Mechanical Engineering
Copyright
© 2024 Naomi de Haan
More Info
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Publication Year
2024
Language
English
Copyright
© 2024 Naomi de Haan
Graduation Date
26-03-2024
Awarding Institution
Delft University of Technology
Programme
['Marine Technology | Ship Design']
Faculty
Mechanical Engineering
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Abstract

The development of the global COVID-19 pandemic from 2020 onward has had significant impact on the world and specifically the maritime industry. Striking examples were COVID-19 outbreaks onboard the Diamond Princess cruise vessel and the U.S.S. Theodore Roosevelt aircraft carrier at the start of the pandemic. Contagious disease management onboard large passenger ships remains a complex issue, amplified by the international character of the industry, confined environment and shared facilities. This report therefore presents an investigation into the effect of ship layout design, operational and behavioral measures on COVID-19 airborne infection risk onboard large passenger vessels. The novelty of this research lies with the integrated infection and crowd behavior model used to calculate agent-specific infection risk, incorporating guest and crew circulation through a passenger ship layout.

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