Evidence map›Paper›PMID 41168393›Full record

ArticleScientific reports2025

Minutes matter for life safety and risk exposure in Milford Sound, New Zealand.

M J Darling, T R Robinson, B Adams, T M Wilson, C Orchiston

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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.

M J DarlingSchool of Earth and the Environment, University of Canterbury, Christchurch, New Zealand. mathew.darling@canterbury.ac.nz.
T R RobinsonSchool of Earth and the Environment, University of Canterbury, Christchurch, New Zealand.
B AdamsComputer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand.
T M WilsonSchool of Earth and the Environment, University of Canterbury, Christchurch, New Zealand.
C OrchistonCentre for Sustainability, School of Geography, University of Otago, Dunedin, New Zealand.

Funding

Ministry for Business Innovation and Employment 'Disaster Resilient Rural Aotearoa' programme (GNS-RNC045)
6 · The paper itself

Abstract

The number of people killed by rapid-onset, highly-lethal natural hazards is usually proportional to the number of people directly exposed yet population mobility makes such exposure temporally variable. In hazardous tourist destinations that are dominated by highly mobile transient visitors, this makes it especially challenging to assess and manage risk. While the temporal dynamics of population exposure have been identified as a necessary input to risk analysis, lack of data and methods means such assessments are limited to using simplified assumptions at low temporal resolution (e.g. day-night variations). Here we show that population can fluctuate by an order of magnitude within minutes, meaning the timing of a hazard event could impact the number of resulting fatalities to a similar degree. At Piopiotahi Milford Sound, we show that the population exposed to landslide-triggered tsunami hazards had a maximum recorded change of ~ 1000 people over a 5-min period. This increased the modelled number of fatalities in a tsunami from 71 to 1134 within the corresponding 5-min period. Monitoring these minute-by-minute changes longitudinally over a period of 790 days that included New Zealand's COVID-19 lockdown measures and their removal demonstrates that the level of societal risk here was only acceptable during the strictest lockdown measures and has since become increasingly unacceptable. Our approach shows that incorporating longitudinal high-resolution data on dynamic exposure substantially improves assessment accuracy and reduces inherent uncertainty of dynamic disaster risk, especially in popular tourist destinations and where population shifts are frequent and significant.

Indexed as

COVID-19HumansLandslidesNew ZealandRisk AssessmentSARS-CoV-2Time Factors

Identifiers

PMID41168393
PMCPMC12575683

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.