Evidence map›Paper›PMID 37274929›Full record

ArticleJournal of marine science and technology2023

Dynamic capabilities of maritime infrastructure: conceptual design of merchant vessels with usability in crisis.

Satoshi Hirayama, Yasuo Ichinose, Shinnosuke Wanaka, Bryan Moser, Kazuo Hiekata

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Article in Journal of marine science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Satoshi HirayamaNippon Kaiji Kyokai, Tokyo, Japan.ORCID 0000-0002-1947-886X
Yasuo IchinoseNational Maritime Research Institute, National Institute of Maritime, Port and Aviation Technology, Tokyo, Japan.
Shinnosuke WanakaNational Maritime Research Institute, National Institute of Maritime, Port and Aviation Technology, Tokyo, Japan.
Bryan MoserSystem Design and Management, Massachusetts Institute of Technology, Cambridge, USA.
Kazuo HiekataGraduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today's social infrastructure, e.g., transportation, medical services, energy supply and distribution, may become temporarily unable to provide functions due to the damage to buildings or excessive congestion resulting from threats, such as natural disasters, rising sea levels, pandemics. Maritime-based responses, typified by hospital ships, are drawing attention as a method to mitigate these effects. However, while designing emergency infrastructure, it is necessary to consider not only the value of these systems in emergencies but also during normal times. This study adopts the systems approach, a set of methods to conduct decision-making when complex stakeholders' relationships are involved. We focus on medical functions and propose a conceptual design for a flexible hospital ship with dynamic capability during emergencies as well as normal times. Specifically, we examine the optimal combination of ship type, size, navigation range during normal times, operations during emergencies, and contract approaches. Quantitative evaluation of utility during emergencies and economic efficiency are considered in tradeoff. In addition to the conventional cost-based study, we examined benefit-cost through ship sharing, in which ships are leased to the private sector as merchant vessels during normal times to generate revenue.

Indexed as

Crisis recoveryDynamic capabilities of infrastructureHospital shipSystems architecture

Identifiers

PMID37274929
PMCPMC10027256

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.